Documents from nvidia.com

nv-crawl.json

{
    "https://www.nvidia.com/": "June 2, 7 p.m. Taiwan Time.\nAI\nJoin NVIDIA Founder and CEO Jensen Huang and SAP CEO Christian Klein on June 4 as they discuss the many ways AI can help transform your business.\nLearn how to manage AI inference at scale through real-world case studies and best practices for ensuring data security, compliance, and innovation.\nDon\u2019t miss the opening keynote when NVIDIA Founder and CEO Jensen Huang joins Snowflake CEO Sridhar Ramaswamy to discuss what the future holds in the era of AI.\nImage Courtesy of Foxconn\nImage courtesy of Accuray\nNVIDIA AI models and microservices advance edge computing, route mapping, and app performance.\n*In-person registration is required.\nLatest AI performance gains and features for RTX AI PCs unveiled at Microsoft Build.\nImage courtesy of: JIYUE\nThe Dawn of a New Industrial Revolution\nBring Out the Best in Your Business With Jensen Huang at SAP Sapphire\nWebinar: Deploying Generative AI in Production\nJensen Huang Talks the Future of AI at Snowflake Data Cloud Summit\nNVIDIA and Microsoft Deliver Optimized AI for Developers\nNew Performance Optimizations Supercharge NVIDIA RTX AI PCs\nAll the informative and inspiring sessions are now available to watch at your own convenience. Don\u2019t miss this opportunity to discover the latest breakthroughs from the conference for the era of AI. Watch On Demand Now\nAI is powering change in every industry. From generative AI and speech recognition to medical imaging and improved supply chain management, AI is providing enterprises the compute power, tools, and algorithms their teams need to do their life's work.\nQuick Links\nJoin NVIDIA Founder and CEO Jensen Huang and SAP CEO Christian Klein on June 4 as they discuss the ways AI can help bring out the best in your business.\nLearn how to manage AI inference at scale through real-world case studies and best practices.\nThe Dell AI Factory with NVIDIA is turbocharging generative AI adoption for enterprises.\nJensen Huang joins Snowflake CEO Sridhar Ramaswamy to discuss the future of AI.\nNVIDIA\u2019s founder and CEO will join ServiceNow\u2019s president and COO on stage for a live keynote.\nNew features include support for voice and image search, plus new models.\nThis supercomputing hub is a digital sandbox where students can apply AI in the classroom.\nA new partnership will bring essential AI skills to workforces in the U.S. and Japan.\nExplore new enterprise-grade building blocks to create and deploy custom AI applications.\nNVIDIA RTX\u2122 and NVIDIA Omniverse\u2122 deliver the performance to help professionals, creators, developers, and students worldwide enhance creative workflows and build, operate, and connect metaverse applications.\nSoftServe\nOpenUSD-powered virtual factory solutions help enhance manufacturing workflows for leading German automotive technology company.\nSiemens, HD Hyundai\nOpenUSD integration into Siemens\u2019 technologies is powering a new wave of industrial digitalization.\nThe latest news and demos unveiled at GTC highlight the potential of OpenUSD and Omniverse Cloud APIs in transforming creative workflows.\nSiemens, Ansys, Cadence, Hexagon, Microsoft Azure, Rockwell Automation, Trimble and more adopt Omniverse technologies.\nTrain AI agents to optimize synchronization between robots and humans within their environment, enabling seamless navigation through unpredictable or complex events.\nSiemens is driving a new era of industrial digitalization with Omniverse and generative AI integration across the Siemens Xcelerator portfolio.\nKatana, Nissan\nNew Omniverse Cloud technologies let developers beam interactive, OpenUSD industrial digital twins into spatial computing.\nCadence\nThe NVIDIA GB200 NVL72 system digital twin is supported by Ansys, Cadence, Motivair, and more.\nAnsys, Keysight, Nokia, and Samsung are among the first on NVIDIA 6G Research Cloud platform.\nHigh-performance computing (HPC) is the ability to process data and perform complex calculations at high speeds. HPC is one of the most essential tools fueling the advancement of computational science.\nSupercomputers are incorporating NVIDIA Grace Hopper and CUDA-Q to advance quantum research.\nThe U.S. National Science Foundation has launched the National Artificial Intelligence Research Resource pilot, with NVIDIA as a major contributor.\nEarth-2 provides a path to simulate and visualize the global atmosphere at unprecedented speed and scale.\nNVIDIA and Quantum Machines debut DGX\u2122 Quantum-integrated architecture using the open-source CUDA\u00ae Quantum software platform.\nA new ebook shares best practices for system design, current trends, and expert insights.\nNVIDIA Clara\u2122 Holoscan, BlueField\u00ae DPUs, and MetroX\u00ae-3 enable streaming processing at the edge.\nNVIDIA Omniverse\u2122 lets designers, builders, and operators use the power of virtual worlds.\nThe National Oceanic and Atmospheric Administration has selected Lockheed Martin and NVIDIA for the project.\nNVIDIA GeForce RTX\u2122 powers the world\u2019s fastest GPUs and the ultimate platform for gamers and creators. Enjoy beautiful ray tracing, AI-powered DLSS, and much more in games and applications, on your desktop, laptop, in the cloud, or in your living room.\nDelivering a quantum leap in performance and AI-powered graphics\nOver 500 RTX games and apps are now powered by DLSS, ray tracing & AI-powered technologies. Check out the latest.\nWith NVIDIA DLSS 3 and Reflex.\nLearn more about the world's fastest laptops for gamers and creators.\nAvailable now with DLSS 3.5.\nLearn more about the best displays that are rigorously tested for the highest standards.\nSee what\u2019s streaming this week on GeForce NOW.\nLearn about Twitch Enhanced Broadcasting, powered by GeForce RTX.\nExtraordinary artists, inspiring art, and creator news\u2014every week.\nFrom developing autonomous vehicles on NVIDIA DRIVE\u00ae to creating factory digital twins and retail experiences with NVIDIA Omniverse, our automotive solutions offer the performance and scalability to design, visualize, simulate, and create all types of future transportation.\nLeading automotive partners are adopting NVIDIA DRIVE\u00ae for their next-generation vehicles.\nLeading companies across the transportation industry count on NVIDIA DRIVE\u2122 Thor to advance their next-generation vehicles.\nForetellix\nThe new APIs deliver large-scale, high-fidelity, and physically based sensor simulations to accelerate autonomous vehicle development.\nFrom EV makers adopting NVIDIA DRIVE\u2122 Thor to Omniverse\u2122 Cloud APIs for simulation, come learn about the latest automotive announcements at GTC 2024.\nBYD\nLearn how generative AI developers are building intelligent AI assistants using NVIDIA\u2019s edge-to-cloud technology.\nNVIDIA partners are fusing the physical and digital worlds to redefine the automotive industry.\nExplore unique perspectives from industry leaders on how AI is shaping the future of transportation.\nWPP, Zerolight, Ford, and Lotus are embracing the interactive 3D platform.\nImage Courtesy of Li Auto\nLi Auto, Great Wall Motor, Xiaomi, and ZEEKR are adopting the NVIDIA DRIVE platform.\nVirtual factory and autonomous vehicle simulation engines hosted on Azure will streamline design, production, and validation.\nThe NVIDIA Jetson\u2122 and Isaac\u2122 platforms provide end-to-end solutions to develop and deploy AI-powered autonomous machines and edge computing applications across manufacturing, logistics, healthcare, smart cities, and retail.\nIntrinsic uses NVIDIA AI to advance robotic manipulation, showcasing leaps in robotic grasping.\nThe GR00T general-purpose foundation model will act as the mind of robots, making them capable of learning skills to solve a variety of helpful tasks.\nIntroducing new foundation models, a robot learning framework, AI workflow orchestration, and robot perception tools.\nThis powerful new cloud-native compute orchestration service delivers a single pane of glass for scheduling and managing autonomous machine workloads.\nJohnson & Johnson\nUsing NVIDIA AI and robotics to deliver real-time insights before, during, and after surgical procedures.\nNVIDIA introduces powerful microservices and APIs to bring edge AI to production faster than ever before.\nNVIDIA announces the most complete AI embedded software stack for robotics, vision AI, and edge applications.\nLearn how electronics giants tap into industrial automation with NVIDIA Metropolis for Factories.\nCheck out the rugged, power-efficient NVIDIA Jetson AGX Orin\u2122 Industrial system-on-module.\nThe company is accelerating robotics-based inspection in automotive and electronics manufacturing.\nFrom the cloud to the office to the data center to the edge, NVIDIA provides solutions that deliver breakthrough performance on enterprise AI and HPC workloads at any scale, driving business decisions in real time and resulting in faster time to value.\nNVIDIA AI models and microservices advance edge computing, route mapping, and app performance.\nSwitzerland\u2019s Alps Supercomputer and others will deliver 200 exaFLOPS to advance research.\nThe latest in accelerated compute and networking will boost performance for AI and beyond.\nNVIDIA H200 Tensor Core GPUs delivered the fastest inference performance on generative AI tests.\nDesigned for massive-scale AI and optimized for trillion-parameter-scale generative AI and GPU computing.\nPowering a new era of computing, the NVIDIA Blackwell platform has arrived.\nThe next-generation DGX SuperPOD processes massive trillion-parameter models for generative AI.\nThe NVIDIA GB200 NVL72 exascale computer enables real-time inference and training in a single rack.\nPowered by the NVIDIA Blackwell architecture, DGX B200 is a unified platform optimized for enterprise AI workloads.\nThe new simulation platform will help scientists advance quantum computing and algorithm research.\nNVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.\nWatch NVIDIA founder and CEO Jensen Huang deliver a live keynote sharing how the era of AI is driving a new industrial revolution across the globe.\nSee the AI breakthroughs driving the new industrial revolution.\nAccuray\nOur work is truly unique. Part science. Part art. Every breakthrough helps shape what\u2019s next.\nNVIDIA was named the world\u2019s most innovative company by Fast Company, while CEO Jensen Huang was elected to the U.S. National Academy of Engineering for helping to fuel the AI revolution.\nSee entrepreneur Kanjun Qiu and NVIDIA\u2019s Bryan Catanzaro discuss bridging the gap between imagination and automation at NVIDIA GTC.\nThanks to our employees, NVIDIA is once again one of the top places to work in the U.S., according to Glassdoor. Discover why it\u2019s like no place you\u2019ve ever worked.\nThe NVIDIA Partner Network honors industry leaders with \u2018Partner of the Year\u2019 awards.\nTe Hiku Media\u2019s uses NVIDIA NeMo toolkit for speech recognition.\nDiscover how the NVIDIA cuOpt route optimization engine helps with railway safety and manufacturing optimizations.\nLearn how Manikandan made the choice between two careers that involved chips: either cooking them or engineering them.\nSMS was acquired by NVIDIA Corporation of Santa Clara, CA in May 2022 and was dissolved as a separate corporate entity. NVIDIA is incorporating SMS technology into its Omniverse platform and OpenUSD. For legacy support content please refer to the following: SMLib and NLib.",
    "https://www.nvidia.com/en-us/edge-computing/products/igx/": "Enterprise-Class Software for Mission-Critical AI\nNVIDIA AI Enterprise IGX is an enterprise-grade software solution for edge AI, purpose-built for mission-critical applications that run on the NVIDIA IGX Orin platform. It provides unmatched performance, security, stability, and long-term enterprise support for the entire software stack that consists of AI frameworks, SDKs, libraries, and IGX OS, assuring best-in-class security, safety, and support.\nA board management controller (BMC) included with IGX is integrated into the software stack for remote system management and software updates, a secure boot controller provides external root of trust, and a dedicated safety monitor supports a real-time operating system (RTOS) and built-in safety-monitoring software.",
    "https://www.nvidia.com/en-us/geforce/GeForce%20Support/": "Learn about our previous generations of graphics cards, laptops, and more, including product specs and features.\nFollowing the posting of the final driver from Release 418 in April 2019, GeForce Game Ready Drivers will no longer support NVIDIA 3D Vision. The NVIDIA support team will continue to address critical driver issues for 3D Vision in Release 418 through April, 2020. Those looking to utilize 3D Vision can remain on a Release 418 driver.\nOur software that enables the use of 3D gaming with 3D TVs, 3DTV Play, is now included for free in Release 418. It is no longer available as a standalone download. Our 3D Vision Video Player will continue to be offered as a standalone download, for free, until the end of 2019.",
    "https://www.nvidia.com/en-us/data-center/solutions/mlops/": "The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates data science pipelines and streamlines development and deployment of production AI, including generative AI, computer vision, speech AI, and more. With over 100 frameworks, pretrained models, and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI and deliver enterprise-ready MLOps with enterprise-grade security, reliability, including API stability, and support.",
    "https://www.nvidia.com/en-us/self-driving-cars/software/": "NVIDIA DriveWorks provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plug-ins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework. It\u2019s modular, open, and designed to be compliant with automotive industry software standards.",
    "https://www.nvidia.com/en-us/design-visualization/solutions/cloud-xr/": "Project Aurora simplifies deployment of on-premises XR applications at lab or enterprise scale. Customers are supported by a flexible ecosystem of OEMs, value-added resellers, software integration, and distribution partners to create and deliver custom, certified builds. With the collaboration of NVIDIA Professional Services, the delivery, set up, and start up of these builds is fully managed for the customer.",
    "https://www.nvidia.com/en-us/studio/laptops-desktops/": "NVIDIA Studio Laptops and Desktops The Ultimate Creative Tools for Accelerating Your Ideas Watch Video",
    "https://www.nvidia.com/en-us/design-visualization/industries/media-entertainment/": "AI-Enabled Content Creation, Distribution, and Consumption\nNew technologies are transforming the media and entertainment industry\u2014 AI-accelerated production pipelines deliver higher-quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.\nFor decades, NVIDIA has helped create and deliver award-winning content, and now it\u2019s redefining the future of M&E with state-of-the-art AI, hardware, software platforms, and networking solutions.\nHear from innovators and creators who are using NVIDIA GPUs to deliver captivating cinematic experiences. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX\u2122 All Stars.\nDiscover the power of AI, generative AI, virtual production, cloud-based workflows, and immersive graphics revolutionizing content creation, delivery, and consumption.\nAccelerate production pipelines with AI and real-time technologies.\nThe world's top film and television studios use NVIDIA technologies to power the most advanced, visually rich feature films and TV shows ever made. Discover how NVIDIA AI, RTX graphics, and state-of-the-art hardware and software platforms help make box office record-breakers, hit TV shows, and Academy Award-winning pictures possible.\nSolutions for immersive real-time graphics, IP video, and AI.\nNVIDIA technologies are helping broadcasters revolutionize how content is created, managed, distributed, and consumed. The latest enterprise-class NVIDIA GPUs, combined with NVIDIA networking technologies, enable all-new workflows for live broadcast. Gain new creative capabilities and deliver incredible viewer experiences with AI solutions and next-generation infrastructure.\nBuild brands, engage customers, and deliver insights with AI.\nConsumer behaviors are changing rapidly with the proliferation of high-performance connected devices. Agencies and corporate in-house creative teams must innovate with dynamic, experiential, and branded content that captivates and engages audiences in new ways. With NVIDIA GPUs, real-time technologies, and artificial intelligence, advertisers and brand leaders can create immersive real-time experiences while gaining much deeper consumer insights across all platforms.\nReal-time graphics, AI, virtualization, and data analytics solutions.\nNVIDIA RTX enables gaming companies to create breathtaking, interactive worlds with performance that exceeds gamers\u2019 expectations. Increasingly, game developers are making full use of virtualized production pipelines, integrating real-time ray tracing, and leveraging AI for deeper customer insights.\nLearn from global leaders in media and entertainment about the impact of real-time graphics, AI, and high-performance networking.\nCourtesy of Sony Pictures Animation\nSony Pictures Animation developed FlixiVerse, an app built on Omniverse Enterprise, allowing 2D artists to accelerate creative workflows with more iterations and easier transitions into 3D environments. See how they leveraged OpenUSD and Nucleus\u2019 auto-updating capabilities to give their artists greater control in pre-production.\nHear from innovators and creators across the M&E industry who are using RTX solutions to deliver captivating cinematic experiences in film and television. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX All Stars.\nRegistration Required\nImage courtesy of WPP\nThe world\u2019s largest marketing services organization is the first to launch automotive marketing services on Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nImage courtesy of V\u016b\nFrom powering LED Volumes and artist workstations to enabling AI and Generative AI workflows, the NVIDIA RTX\u2122 5000 Ada Generation GPU gives V\u016b the power and reliability to unleash the full potential of creative content.\nImage courtesy of V\u016b\nBroadcasters can automatically generate videos with text and develop lifelike virtual humans with Hour One\u2019s solutions, powered by NVIDIA Technologies.\nThe sheer power provided by the new RTX 6000 Ada GPUs has had a massive impact on how we interact with Neural Radiance Fields\u2026 What NVIDIA and HP have done not only makes existing graphically demanding tasks even faster, but it also unlocks a new chapter in real-time workflows that was simply not possible until now.\n\u2014 Landis Fields, Real-Time Principal Creative, Industrial Light & Magic\nThe NVIDIA RTX 6000 Ada Generation GPU is one step ahead of our evolving real-time pipeline for live-action filmmakers. It's adding efficiency, ease, and, more importantly, creative power directly to filmmakers.\n\u2014 Rapha\u00ebl Goudin, Virtual Production Supervisor, Versatile Media Ltd.\nNVIDIA continues to deliver solutions that light the path forward for an industry in transition, easing the adoption of the latest standards, and bringing flexibility and scalability to the broadcast market.\nNew Omniverse platform updates, connections to Adobe Firefly, and Ada-Generation systems to accelerate interoperable 3D workflows and industrial digitalization.\n20th Century Studios\nThe Academy Award nominations are in\u2014and for the 15th year in a row\u2014NVIDIA technologies worked behind the scenes of every film nominated for Best Visual Effects.\nExplore a hub of SDKs, resources, and news for developers working in the Media and Entertainment industry.\nFeatured\nSee how NVIDIA and our partners are helping the industry accelerate their production pipelines, deliver higher quality content, enhance live entertainment, and optimize distribution and monetization.\nVideos\nDevelop custom 3D pipelines and simulate large-scale, physically accurate virtual worlds with NVIDIA Omniverse Enterprise.\nStreamline building a state-of-the-art session-based recommender pipeline with this new free hands-on lab.\nThis session will walk you through what Universal Scene Description (USD) is, how assets are constructed with it, and why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nHelp us inspire the next generation by joining the NVIDIA Partner Network (NPN).\nOur experts can help your business unlock its potential.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/": "3840x2160 Resolution, Highest Game Settings, DLSS Super Resolution Performance Mode, DLSS Frame Generation on RTX 40 Series, i9-12900K, 32GB RAM, Win 11 x64. All DLSS Frame Generation data and Cyberpunk 2077 with new Ray Tracing: Overdrive Mode based on pre-release builds.",
    "https://www.nvidia.com/#page-content": "June 2, 7 p.m. Taiwan Time.\nAI\nJoin NVIDIA Founder and CEO Jensen Huang and SAP CEO Christian Klein on June 4 as they discuss the many ways AI can help transform your business.\nLearn how to manage AI inference at scale through real-world case studies and best practices for ensuring data security, compliance, and innovation.\nDon\u2019t miss the opening keynote when NVIDIA Founder and CEO Jensen Huang joins Snowflake CEO Sridhar Ramaswamy to discuss what the future holds in the era of AI.\nImage Courtesy of Foxconn\nImage courtesy of Accuray\nNVIDIA AI models and microservices advance edge computing, route mapping, and app performance.\n*In-person registration is required.\nLatest AI performance gains and features for RTX AI PCs unveiled at Microsoft Build.\nImage courtesy of: JIYUE\nThe Dawn of a New Industrial Revolution\nBring Out the Best in Your Business With Jensen Huang at SAP Sapphire\nWebinar: Deploying Generative AI in Production\nJensen Huang Talks the Future of AI at Snowflake Data Cloud Summit\nNVIDIA and Microsoft Deliver Optimized AI for Developers\nNew Performance Optimizations Supercharge NVIDIA RTX AI PCs\nAll the informative and inspiring sessions are now available to watch at your own convenience. Don\u2019t miss this opportunity to discover the latest breakthroughs from the conference for the era of AI. Watch On Demand Now\nAI is powering change in every industry. From generative AI and speech recognition to medical imaging and improved supply chain management, AI is providing enterprises the compute power, tools, and algorithms their teams need to do their life's work.\nQuick Links\nJoin NVIDIA Founder and CEO Jensen Huang and SAP CEO Christian Klein on June 4 as they discuss the ways AI can help bring out the best in your business.\nLearn how to manage AI inference at scale through real-world case studies and best practices.\nThe Dell AI Factory with NVIDIA is turbocharging generative AI adoption for enterprises.\nJensen Huang joins Snowflake CEO Sridhar Ramaswamy to discuss the future of AI.\nNVIDIA\u2019s founder and CEO will join ServiceNow\u2019s president and COO on stage for a live keynote.\nNew features include support for voice and image search, plus new models.\nThis supercomputing hub is a digital sandbox where students can apply AI in the classroom.\nA new partnership will bring essential AI skills to workforces in the U.S. and Japan.\nExplore new enterprise-grade building blocks to create and deploy custom AI applications.\nNVIDIA RTX\u2122 and NVIDIA Omniverse\u2122 deliver the performance to help professionals, creators, developers, and students worldwide enhance creative workflows and build, operate, and connect metaverse applications.\nSoftServe\nOpenUSD-powered virtual factory solutions help enhance manufacturing workflows for leading German automotive technology company.\nSiemens, HD Hyundai\nOpenUSD integration into Siemens\u2019 technologies is powering a new wave of industrial digitalization.\nThe latest news and demos unveiled at GTC highlight the potential of OpenUSD and Omniverse Cloud APIs in transforming creative workflows.\nSiemens, Ansys, Cadence, Hexagon, Microsoft Azure, Rockwell Automation, Trimble and more adopt Omniverse technologies.\nTrain AI agents to optimize synchronization between robots and humans within their environment, enabling seamless navigation through unpredictable or complex events.\nSiemens is driving a new era of industrial digitalization with Omniverse and generative AI integration across the Siemens Xcelerator portfolio.\nKatana, Nissan\nNew Omniverse Cloud technologies let developers beam interactive, OpenUSD industrial digital twins into spatial computing.\nCadence\nThe NVIDIA GB200 NVL72 system digital twin is supported by Ansys, Cadence, Motivair, and more.\nAnsys, Keysight, Nokia, and Samsung are among the first on NVIDIA 6G Research Cloud platform.\nHigh-performance computing (HPC) is the ability to process data and perform complex calculations at high speeds. HPC is one of the most essential tools fueling the advancement of computational science.\nSupercomputers are incorporating NVIDIA Grace Hopper and CUDA-Q to advance quantum research.\nThe U.S. National Science Foundation has launched the National Artificial Intelligence Research Resource pilot, with NVIDIA as a major contributor.\nEarth-2 provides a path to simulate and visualize the global atmosphere at unprecedented speed and scale.\nNVIDIA and Quantum Machines debut DGX\u2122 Quantum-integrated architecture using the open-source CUDA\u00ae Quantum software platform.\nA new ebook shares best practices for system design, current trends, and expert insights.\nNVIDIA Clara\u2122 Holoscan, BlueField\u00ae DPUs, and MetroX\u00ae-3 enable streaming processing at the edge.\nNVIDIA Omniverse\u2122 lets designers, builders, and operators use the power of virtual worlds.\nThe National Oceanic and Atmospheric Administration has selected Lockheed Martin and NVIDIA for the project.\nNVIDIA GeForce RTX\u2122 powers the world\u2019s fastest GPUs and the ultimate platform for gamers and creators. Enjoy beautiful ray tracing, AI-powered DLSS, and much more in games and applications, on your desktop, laptop, in the cloud, or in your living room.\nDelivering a quantum leap in performance and AI-powered graphics\nOver 500 RTX games and apps are now powered by DLSS, ray tracing & AI-powered technologies. Check out the latest.\nWith NVIDIA DLSS 3 and Reflex.\nLearn more about the world's fastest laptops for gamers and creators.\nAvailable now with DLSS 3.5.\nLearn more about the best displays that are rigorously tested for the highest standards.\nSee what\u2019s streaming this week on GeForce NOW.\nLearn about Twitch Enhanced Broadcasting, powered by GeForce RTX.\nExtraordinary artists, inspiring art, and creator news\u2014every week.\nFrom developing autonomous vehicles on NVIDIA DRIVE\u00ae to creating factory digital twins and retail experiences with NVIDIA Omniverse, our automotive solutions offer the performance and scalability to design, visualize, simulate, and create all types of future transportation.\nLeading automotive partners are adopting NVIDIA DRIVE\u00ae for their next-generation vehicles.\nLeading companies across the transportation industry count on NVIDIA DRIVE\u2122 Thor to advance their next-generation vehicles.\nForetellix\nThe new APIs deliver large-scale, high-fidelity, and physically based sensor simulations to accelerate autonomous vehicle development.\nFrom EV makers adopting NVIDIA DRIVE\u2122 Thor to Omniverse\u2122 Cloud APIs for simulation, come learn about the latest automotive announcements at GTC 2024.\nBYD\nLearn how generative AI developers are building intelligent AI assistants using NVIDIA\u2019s edge-to-cloud technology.\nNVIDIA partners are fusing the physical and digital worlds to redefine the automotive industry.\nExplore unique perspectives from industry leaders on how AI is shaping the future of transportation.\nWPP, Zerolight, Ford, and Lotus are embracing the interactive 3D platform.\nImage Courtesy of Li Auto\nLi Auto, Great Wall Motor, Xiaomi, and ZEEKR are adopting the NVIDIA DRIVE platform.\nVirtual factory and autonomous vehicle simulation engines hosted on Azure will streamline design, production, and validation.\nThe NVIDIA Jetson\u2122 and Isaac\u2122 platforms provide end-to-end solutions to develop and deploy AI-powered autonomous machines and edge computing applications across manufacturing, logistics, healthcare, smart cities, and retail.\nIntrinsic uses NVIDIA AI to advance robotic manipulation, showcasing leaps in robotic grasping.\nThe GR00T general-purpose foundation model will act as the mind of robots, making them capable of learning skills to solve a variety of helpful tasks.\nIntroducing new foundation models, a robot learning framework, AI workflow orchestration, and robot perception tools.\nThis powerful new cloud-native compute orchestration service delivers a single pane of glass for scheduling and managing autonomous machine workloads.\nJohnson & Johnson\nUsing NVIDIA AI and robotics to deliver real-time insights before, during, and after surgical procedures.\nNVIDIA introduces powerful microservices and APIs to bring edge AI to production faster than ever before.\nNVIDIA announces the most complete AI embedded software stack for robotics, vision AI, and edge applications.\nLearn how electronics giants tap into industrial automation with NVIDIA Metropolis for Factories.\nCheck out the rugged, power-efficient NVIDIA Jetson AGX Orin\u2122 Industrial system-on-module.\nThe company is accelerating robotics-based inspection in automotive and electronics manufacturing.\nFrom the cloud to the office to the data center to the edge, NVIDIA provides solutions that deliver breakthrough performance on enterprise AI and HPC workloads at any scale, driving business decisions in real time and resulting in faster time to value.\nNVIDIA AI models and microservices advance edge computing, route mapping, and app performance.\nSwitzerland\u2019s Alps Supercomputer and others will deliver 200 exaFLOPS to advance research.\nThe latest in accelerated compute and networking will boost performance for AI and beyond.\nNVIDIA H200 Tensor Core GPUs delivered the fastest inference performance on generative AI tests.\nDesigned for massive-scale AI and optimized for trillion-parameter-scale generative AI and GPU computing.\nPowering a new era of computing, the NVIDIA Blackwell platform has arrived.\nThe next-generation DGX SuperPOD processes massive trillion-parameter models for generative AI.\nThe NVIDIA GB200 NVL72 exascale computer enables real-time inference and training in a single rack.\nPowered by the NVIDIA Blackwell architecture, DGX B200 is a unified platform optimized for enterprise AI workloads.\nThe new simulation platform will help scientists advance quantum computing and algorithm research.\nNVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.\nWatch NVIDIA founder and CEO Jensen Huang deliver a live keynote sharing how the era of AI is driving a new industrial revolution across the globe.\nSee the AI breakthroughs driving the new industrial revolution.\nAccuray\nOur work is truly unique. Part science. Part art. Every breakthrough helps shape what\u2019s next.\nNVIDIA was named the world\u2019s most innovative company by Fast Company, while CEO Jensen Huang was elected to the U.S. National Academy of Engineering for helping to fuel the AI revolution.\nSee entrepreneur Kanjun Qiu and NVIDIA\u2019s Bryan Catanzaro discuss bridging the gap between imagination and automation at NVIDIA GTC.\nThanks to our employees, NVIDIA is once again one of the top places to work in the U.S., according to Glassdoor. Discover why it\u2019s like no place you\u2019ve ever worked.\nThe NVIDIA Partner Network honors industry leaders with \u2018Partner of the Year\u2019 awards.\nTe Hiku Media\u2019s uses NVIDIA NeMo toolkit for speech recognition.\nDiscover how the NVIDIA cuOpt route optimization engine helps with railway safety and manufacturing optimizations.\nLearn how Manikandan made the choice between two careers that involved chips: either cooking them or engineering them.\nSMS was acquired by NVIDIA Corporation of Santa Clara, CA in May 2022 and was dissolved as a separate corporate entity. NVIDIA is incorporating SMS technology into its Omniverse platform and OpenUSD. For legacy support content please refer to the following: SMLib and NLib.",
    "https://www.nvidia.com/#nav-lvl1-tab4-lvl2-tab7": "June 2, 7 p.m. Taiwan Time.\nAI\nJoin NVIDIA Founder and CEO Jensen Huang and SAP CEO Christian Klein on June 4 as they discuss the many ways AI can help transform your business.\nLearn how to manage AI inference at scale through real-world case studies and best practices for ensuring data security, compliance, and innovation.\nDon\u2019t miss the opening keynote when NVIDIA Founder and CEO Jensen Huang joins Snowflake CEO Sridhar Ramaswamy to discuss what the future holds in the era of AI.\nImage Courtesy of Foxconn\nImage courtesy of Accuray\nNVIDIA AI models and microservices advance edge computing, route mapping, and app performance.\n*In-person registration is required.\nLatest AI performance gains and features for RTX AI PCs unveiled at Microsoft Build.\nImage courtesy of: JIYUE\nThe Dawn of a New Industrial Revolution\nBring Out the Best in Your Business With Jensen Huang at SAP Sapphire\nWebinar: Deploying Generative AI in Production\nJensen Huang Talks the Future of AI at Snowflake Data Cloud Summit\nNVIDIA and Microsoft Deliver Optimized AI for Developers\nNew Performance Optimizations Supercharge NVIDIA RTX AI PCs\nAll the informative and inspiring sessions are now available to watch at your own convenience. Don\u2019t miss this opportunity to discover the latest breakthroughs from the conference for the era of AI. Watch On Demand Now\nAI is powering change in every industry. From generative AI and speech recognition to medical imaging and improved supply chain management, AI is providing enterprises the compute power, tools, and algorithms their teams need to do their life's work.\nQuick Links\nJoin NVIDIA Founder and CEO Jensen Huang and SAP CEO Christian Klein on June 4 as they discuss the ways AI can help bring out the best in your business.\nLearn how to manage AI inference at scale through real-world case studies and best practices.\nThe Dell AI Factory with NVIDIA is turbocharging generative AI adoption for enterprises.\nJensen Huang joins Snowflake CEO Sridhar Ramaswamy to discuss the future of AI.\nNVIDIA\u2019s founder and CEO will join ServiceNow\u2019s president and COO on stage for a live keynote.\nNew features include support for voice and image search, plus new models.\nThis supercomputing hub is a digital sandbox where students can apply AI in the classroom.\nA new partnership will bring essential AI skills to workforces in the U.S. and Japan.\nExplore new enterprise-grade building blocks to create and deploy custom AI applications.\nNVIDIA RTX\u2122 and NVIDIA Omniverse\u2122 deliver the performance to help professionals, creators, developers, and students worldwide enhance creative workflows and build, operate, and connect metaverse applications.\nSoftServe\nOpenUSD-powered virtual factory solutions help enhance manufacturing workflows for leading German automotive technology company.\nSiemens, HD Hyundai\nOpenUSD integration into Siemens\u2019 technologies is powering a new wave of industrial digitalization.\nThe latest news and demos unveiled at GTC highlight the potential of OpenUSD and Omniverse Cloud APIs in transforming creative workflows.\nSiemens, Ansys, Cadence, Hexagon, Microsoft Azure, Rockwell Automation, Trimble and more adopt Omniverse technologies.\nTrain AI agents to optimize synchronization between robots and humans within their environment, enabling seamless navigation through unpredictable or complex events.\nSiemens is driving a new era of industrial digitalization with Omniverse and generative AI integration across the Siemens Xcelerator portfolio.\nKatana, Nissan\nNew Omniverse Cloud technologies let developers beam interactive, OpenUSD industrial digital twins into spatial computing.\nCadence\nThe NVIDIA GB200 NVL72 system digital twin is supported by Ansys, Cadence, Motivair, and more.\nAnsys, Keysight, Nokia, and Samsung are among the first on NVIDIA 6G Research Cloud platform.\nHigh-performance computing (HPC) is the ability to process data and perform complex calculations at high speeds. HPC is one of the most essential tools fueling the advancement of computational science.\nSupercomputers are incorporating NVIDIA Grace Hopper and CUDA-Q to advance quantum research.\nThe U.S. National Science Foundation has launched the National Artificial Intelligence Research Resource pilot, with NVIDIA as a major contributor.\nEarth-2 provides a path to simulate and visualize the global atmosphere at unprecedented speed and scale.\nNVIDIA and Quantum Machines debut DGX\u2122 Quantum-integrated architecture using the open-source CUDA\u00ae Quantum software platform.\nA new ebook shares best practices for system design, current trends, and expert insights.\nNVIDIA Clara\u2122 Holoscan, BlueField\u00ae DPUs, and MetroX\u00ae-3 enable streaming processing at the edge.\nNVIDIA Omniverse\u2122 lets designers, builders, and operators use the power of virtual worlds.\nThe National Oceanic and Atmospheric Administration has selected Lockheed Martin and NVIDIA for the project.\nNVIDIA GeForce RTX\u2122 powers the world\u2019s fastest GPUs and the ultimate platform for gamers and creators. Enjoy beautiful ray tracing, AI-powered DLSS, and much more in games and applications, on your desktop, laptop, in the cloud, or in your living room.\nDelivering a quantum leap in performance and AI-powered graphics\nOver 500 RTX games and apps are now powered by DLSS, ray tracing & AI-powered technologies. Check out the latest.\nWith NVIDIA DLSS 3 and Reflex.\nLearn more about the world's fastest laptops for gamers and creators.\nAvailable now with DLSS 3.5.\nLearn more about the best displays that are rigorously tested for the highest standards.\nSee what\u2019s streaming this week on GeForce NOW.\nLearn about Twitch Enhanced Broadcasting, powered by GeForce RTX.\nExtraordinary artists, inspiring art, and creator news\u2014every week.\nFrom developing autonomous vehicles on NVIDIA DRIVE\u00ae to creating factory digital twins and retail experiences with NVIDIA Omniverse, our automotive solutions offer the performance and scalability to design, visualize, simulate, and create all types of future transportation.\nLeading automotive partners are adopting NVIDIA DRIVE\u00ae for their next-generation vehicles.\nLeading companies across the transportation industry count on NVIDIA DRIVE\u2122 Thor to advance their next-generation vehicles.\nForetellix\nThe new APIs deliver large-scale, high-fidelity, and physically based sensor simulations to accelerate autonomous vehicle development.\nFrom EV makers adopting NVIDIA DRIVE\u2122 Thor to Omniverse\u2122 Cloud APIs for simulation, come learn about the latest automotive announcements at GTC 2024.\nBYD\nLearn how generative AI developers are building intelligent AI assistants using NVIDIA\u2019s edge-to-cloud technology.\nNVIDIA partners are fusing the physical and digital worlds to redefine the automotive industry.\nExplore unique perspectives from industry leaders on how AI is shaping the future of transportation.\nWPP, Zerolight, Ford, and Lotus are embracing the interactive 3D platform.\nImage Courtesy of Li Auto\nLi Auto, Great Wall Motor, Xiaomi, and ZEEKR are adopting the NVIDIA DRIVE platform.\nVirtual factory and autonomous vehicle simulation engines hosted on Azure will streamline design, production, and validation.\nThe NVIDIA Jetson\u2122 and Isaac\u2122 platforms provide end-to-end solutions to develop and deploy AI-powered autonomous machines and edge computing applications across manufacturing, logistics, healthcare, smart cities, and retail.\nIntrinsic uses NVIDIA AI to advance robotic manipulation, showcasing leaps in robotic grasping.\nThe GR00T general-purpose foundation model will act as the mind of robots, making them capable of learning skills to solve a variety of helpful tasks.\nIntroducing new foundation models, a robot learning framework, AI workflow orchestration, and robot perception tools.\nThis powerful new cloud-native compute orchestration service delivers a single pane of glass for scheduling and managing autonomous machine workloads.\nJohnson & Johnson\nUsing NVIDIA AI and robotics to deliver real-time insights before, during, and after surgical procedures.\nNVIDIA introduces powerful microservices and APIs to bring edge AI to production faster than ever before.\nNVIDIA announces the most complete AI embedded software stack for robotics, vision AI, and edge applications.\nLearn how electronics giants tap into industrial automation with NVIDIA Metropolis for Factories.\nCheck out the rugged, power-efficient NVIDIA Jetson AGX Orin\u2122 Industrial system-on-module.\nThe company is accelerating robotics-based inspection in automotive and electronics manufacturing.\nFrom the cloud to the office to the data center to the edge, NVIDIA provides solutions that deliver breakthrough performance on enterprise AI and HPC workloads at any scale, driving business decisions in real time and resulting in faster time to value.\nNVIDIA AI models and microservices advance edge computing, route mapping, and app performance.\nSwitzerland\u2019s Alps Supercomputer and others will deliver 200 exaFLOPS to advance research.\nThe latest in accelerated compute and networking will boost performance for AI and beyond.\nNVIDIA H200 Tensor Core GPUs delivered the fastest inference performance on generative AI tests.\nDesigned for massive-scale AI and optimized for trillion-parameter-scale generative AI and GPU computing.\nPowering a new era of computing, the NVIDIA Blackwell platform has arrived.\nThe next-generation DGX SuperPOD processes massive trillion-parameter models for generative AI.\nThe NVIDIA GB200 NVL72 exascale computer enables real-time inference and training in a single rack.\nPowered by the NVIDIA Blackwell architecture, DGX B200 is a unified platform optimized for enterprise AI workloads.\nThe new simulation platform will help scientists advance quantum computing and algorithm research.\nNVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.\nWatch NVIDIA founder and CEO Jensen Huang deliver a live keynote sharing how the era of AI is driving a new industrial revolution across the globe.\nSee the AI breakthroughs driving the new industrial revolution.\nAccuray\nOur work is truly unique. Part science. Part art. Every breakthrough helps shape what\u2019s next.\nNVIDIA was named the world\u2019s most innovative company by Fast Company, while CEO Jensen Huang was elected to the U.S. National Academy of Engineering for helping to fuel the AI revolution.\nSee entrepreneur Kanjun Qiu and NVIDIA\u2019s Bryan Catanzaro discuss bridging the gap between imagination and automation at NVIDIA GTC.\nThanks to our employees, NVIDIA is once again one of the top places to work in the U.S., according to Glassdoor. Discover why it\u2019s like no place you\u2019ve ever worked.\nThe NVIDIA Partner Network honors industry leaders with \u2018Partner of the Year\u2019 awards.\nTe Hiku Media\u2019s uses NVIDIA NeMo toolkit for speech recognition.\nDiscover how the NVIDIA cuOpt route optimization engine helps with railway safety and manufacturing optimizations.\nLearn how Manikandan made the choice between two careers that involved chips: either cooking them or engineering them.\nSMS was acquired by NVIDIA Corporation of Santa Clara, CA in May 2022 and was dissolved as a separate corporate entity. NVIDIA is incorporating SMS technology into its Omniverse platform and OpenUSD. For legacy support content please refer to the following: SMLib and NLib.",
    "https://www.nvidia.com/en-us/design-visualization/resources/rtx-all-stars-ebook/": "Ebook RTX All Stars Get inspired by the artists, creators, and designers who are using NVIDIA RTX to transform workflows and bring their best work to life. Download Now",
    "https://www.nvidia.com/en-us/networking/ethernet-adapters/": "Providing up to four ports of connectivity and 400Gb/s of throughput, the NVIDIA ConnectX-7 NIC provides hardware-accelerated networking, storage, security, and manageability services at data center scale for cloud, telecommunications, AI, and enterprise workloads. ConnectX-7 empowers agile and high-performance networking solutions with features such as Accelerated Switching and Packet Processing (ASAP2), advanced RoCE, GPUDirect Storage, and in-line hardware acceleration for Transport Layer Security (TLS), IP Security (IPsec), and MAC Security (MACsec) encryption and decryption. ConnectX-7 enables organizations to meet their current and future networking needs in both high-bandwidth and high-density environments.",
    "https://www.nvidia.com/en-us/on-demand/?nvid=nv-int-bnr-583745": "NVIDIA On-Demand Learn new skills from the experts. See all the latest NVIDIA advances from GTC and other leading technology conferences\u2014free. * Some content may require login to our free NVIDIA Developer Program. Advanced Search",
    "https://www.nvidia.com/en-us/self-driving-cars/self-driving-cars-contact-us/": "This form is for automotive inquires only. For other inquiries, please click here.\nOptional\nPlease provide a brief description of your product and business model.\nWhere do you stand within your product development? Please include the list of NVIDIA products you are using.\nHow can NVIDIA help you achieve your goals?\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/telecommunications/": "The nexus of AI, the Internet of Things (IoT), and accelerated computing at the edge is turbocharging network performance and efficiency. The world\u2019s leading telcos are turning to NVIDIA technologies to create AI-enabled solutions, build software-defined and accelerated infrastructure for 5G, and bring connected intelligence to smart devices at the edge.\nView Report: State of AI in Telecom 2024\nAnsys, Keysight, Nokia, and Samsung are among the first to use NVIDIA Aerial Omniverse Digital Twin, Aerial CUDA-Accelerated RAN, and Sionna Neural Radio Framework.\nNVIDIA is a founding member of the AI-RAN Alliance, which was formed to advance cutting-edge research and development in AI that will transform RAN for 5G and upcoming 6G. The collaborative initiative aims to enhance global mobile network efficiency, reduce power consumption, and retrofit existing infrastructure by bringing together AI and RAN.\nServiceNow and NVIDIA introduced Now Assist for Telecommunications Service Management (TSM), built on the Now Platform with NVIDIA AI Enterprise to boost agent productivity, speed time to resolution, and enhance customer experiences.\nThe RAN is the artery of the global cellular industry, serving over five billion users.The NVIDIA Aerial\u2122 platform and NVIDIA-accelerated computing deliver industry-leading performance for 5G RAN networks in the field, as well as best-in-class total cost of ownership (TCO) and return on investment (ROI), by supporting generative AI and 5G on the same hardware and pioneering 6G research tools for the future.\nAs we enter an era where society coexists with AI, the demand for data processing and electricity requirements will rapidly increase\u2026 Our collaboration with NVIDIA will help our infrastructure achieve a significantly higher performance with the utilization of AI, including optimization of the RAN. We expect it can also help us reduce energy consumption and create a network of interconnected data centers that can be used to share resources and host a range of generative AI applications.\n- Junichi Miyakawa, President and CEO, SoftBank Corp.\nNetwork operations are becoming increasingly complex, generating vast amounts of valuable data. By leveraging generative AI to extract timely, actionable insights from this data, telcos can optimize network operations, improve customer experiences, and unlock new revenue streams.\nT-Mobile deployed a conversational AI-based chatbot, a self-service center, agent-assist functionality, and transcription services in their customer experience centers. Conversations between customers and agents are now transcribed to text\u2014live\u2014to better assist customer experience center agents. According to T-Mobile, in the first 18 months, they realized a significant return on their investment.\n- The AI-Powered Telco\nTelecom companies are perfectly positioned to expand their data centers with the accelerated computing infrastructure to support sovereign AI models and manufacture intelligence. This new class of data centers, known as AI factories, enables local governments, enterprises, and startups to build, develop, and deploy generative AI applications with enhanced security, performance, and fine-tuning for local language and cultural standards.\nAt Jio, we\u2019re committed to fueling India\u2019s technology renaissance by democratizing access to cutting-edge technologies, and our collaboration with NVIDIA is a significant step in this direction. Together, we will develop a state-of-the-art AI cloud infrastructure that\u2019s secure, sustainable, and deeply relevant across India, accelerating the nation\u2019s journey.\n- Mukesh Ambani, Chairman and Managing Director, Reliance Industries\nExplore the use cases driving telco investment in AI, including examples of telco deployments, and get an introduction to the ecosystem that can support your AI journey.\nLearn about telcos who are working with NVIDIA\u2019s AI ecosystem and the applications they\u2019re investing in to capitalize on enterprise service opportunities.\nLearn why a DPU or SmartNIC is one of the best ways to improve data center efficiency, and reduce server power consumption by up to 30%.\nExplore advances in 5G network acceleration and security, how AI-on-5G and edge applications are delivering new services, and how telcos are improving operations with AI.\nStay connected with the latest telecommunications news from NVIDIA.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/omniverse/cloud/": "A fully managed platform-as-a-service offering for developing generative AI-enabled OpenUSD applications.\nNVIDIA Omniverse\u2122 Cloud is a platform of APIs, SDKs, and services available within a full-stack cloud environment for enterprise developers to easily integrate Universal Scene Description (OpenUSD) and RTX rendering technologies into their 3D industrial digitalization applications.\nFast-track access to secure cloud service infrastructure and NVIDIA Omniverse software and services\u2014from anywhere.\nAccess a fully optimized infrastructure and development platform to accommodate the most demanding 3D and digitalization workloads\u2014all with a single subscription.\nTap into a true PaaS experience that enables enterprise teams to build advanced OpenUSD-based tools and applications for 3D workflows and digital twins.\nEffortlessly scale users and applications as your industrial digitalization projects grow.\nSee how you can leverage Omniverse Cloud as a platform-as-a-service to enable industrial digitalization efforts.\nWPP\nProduce high-quality content with generative AI tools built on NVIDIA Picasso, and publish interactive brand experiences with NVIDIA\u2019s Graphics Delivery Network (GDN).\nForetellix\nForetellix, an AV validation tool developer, unlocks sensor simulation with Omniverse Cloud APIs to improve safety while accelerating workflows and reducing costs.\nAmazon Robotics\nBootstrap training and accuracy of computer vision networks with NVIDIA Omniverse Replicator.\nPegatron\nImprove warehouse or factory layouts and train intelligent robotic assistants with NVIDIA Isaac Sim\u2122 and Omniverse Replicator.\n*Pricing for Graphics Delivery Network (GDN) is separate from Omniverse Cloud platform-as-a-service.\nDevelopers can supercharge advanced 3D applications and experience development by accessing Omniverse Cloud APIs.\nComing Soon\nGDN uses NVIDIA\u2019s global cloud streaming infrastructure to deliver high-fidelity, interactive 3D experiences to any web device.\nNVIDIA Omniverse\u2122 Cloud is a fully managed platform-as-a-service (PaaS) for developing generative AI-enabled OpenUSD applications. It provides developers and enterprises with a full-stack cloud environment to easily integrate Universal Scene Description (OpenUSD) and RTX rendering technologies into their 3D industrial digitalization applications.\nDeployed on NVIDIA OVX servers, Omniverse Cloud features a suite of customizable sample applications and frameworks for developers to build custom workflows. These include 3D asset aggregation and scene assembly, digital twin development, synthetic data generation, robotics testing and simulation, and autonomous vehicle training and validation.\nOmniverse Cloud platform-as-a-service includes access to NVIDIA experts and Enterprise Support to minimize system downtime and maximize system utilization and user productivity.\nOmniverse Cloud PaaS is currently available to enterprises as a private cloud offering from NVIDIA. The service is cloud-agnostic and is currently available on Microsoft Azure.\nYes, Omniverse developers can deploy containers available on NVIDIA NGC in public clouds like AWS, Microsoft Azure, and others.\n*An Omniverse Enterprise license is required.\nOmniverse Cloud platform-as-a-service is available as an enterprise private offer. Please contact sales.\nThank you for your interest in NVIDIA Omniverse Enterprise, Omniverse Cloud, and OVX. We would love to help you get started. Fill out the form and an expert will get back to you shortly.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce/GeForce%20Support/#nav-lvl1-tab4-lvl2-tab2": "Learn about our previous generations of graphics cards, laptops, and more, including product specs and features.\nFollowing the posting of the final driver from Release 418 in April 2019, GeForce Game Ready Drivers will no longer support NVIDIA 3D Vision. The NVIDIA support team will continue to address critical driver issues for 3D Vision in Release 418 through April, 2020. Those looking to utilize 3D Vision can remain on a Release 418 driver.\nOur software that enables the use of 3D gaming with 3D TVs, 3DTV Play, is now included for free in Release 418. It is no longer available as a standalone download. Our 3D Vision Video Player will continue to be offered as a standalone download, for free, until the end of 2019.",
    "https://www.nvidia.com/en-us/studio/compare-gpus/": "Explore the full range of high-performance GPUs that will help bring your creative visions to life.\nGraphics Memory\n3D Animation/ Motion Graphics\nVideo Editing\nPhotography/ Graphic Design\nBroadcasting\nGaming\nSTEM\nRay Tracing Cores\nAI & Tensor Cores\nEncoders\nAdvanced Multi-App Work\nSoftware Certification\nEnterprise Support\nRay Tracing Cores: for accurate lighting, shadows, reflections and higher quality rendering in less time. AI & Tensor Cores: for accelerated AI operations like up-resing, photo enhancements, color matching, face tagging, and style transfer. Advanced Multi-App Workflows: for demanding workflows typically involving multiple creative apps, each requiring their own set of dedicated system resources. Software Certification: software vendors who develop creative applications test and certify specific hardware for optimal and consistent operation. Enterprise Support: dedicated features and support for enterprise users. Graphics Memory: fast memory dedicated to graphics intensive tasks. More graphics memory means larger, more complex tasks can be completed by the GPU.\nGraphics Memory\nExplore the range of high-performance products compatible with NVIDIA Studio technology.\nCreative tutorials, artist showcases, contests, and exclusive offers.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce/laptops/": "NVIDIA GeForce RTX\u2122 40 Series laptops supercharge studies for STEM students. Powerful NVIDIA GPUs accelerate the top student applications in engineering, architecture, computer science, data science, economics, and more. With GeForce RTX, students can get out of the computer lab and work from anywhere, finish coursework faster, and study, create and play, all on the same laptop",
    "https://www.nvidia.com/en-us/design-visualization/industries/media-entertainment/#nav-lvl1-tab4-lvl2-tab6": "AI-Enabled Content Creation, Distribution, and Consumption\nNew technologies are transforming the media and entertainment industry\u2014 AI-accelerated production pipelines deliver higher-quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.\nFor decades, NVIDIA has helped create and deliver award-winning content, and now it\u2019s redefining the future of M&E with state-of-the-art AI, hardware, software platforms, and networking solutions.\nHear from innovators and creators who are using NVIDIA GPUs to deliver captivating cinematic experiences. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX\u2122 All Stars.\nDiscover the power of AI, generative AI, virtual production, cloud-based workflows, and immersive graphics revolutionizing content creation, delivery, and consumption.\nAccelerate production pipelines with AI and real-time technologies.\nThe world's top film and television studios use NVIDIA technologies to power the most advanced, visually rich feature films and TV shows ever made. Discover how NVIDIA AI, RTX graphics, and state-of-the-art hardware and software platforms help make box office record-breakers, hit TV shows, and Academy Award-winning pictures possible.\nSolutions for immersive real-time graphics, IP video, and AI.\nNVIDIA technologies are helping broadcasters revolutionize how content is created, managed, distributed, and consumed. The latest enterprise-class NVIDIA GPUs, combined with NVIDIA networking technologies, enable all-new workflows for live broadcast. Gain new creative capabilities and deliver incredible viewer experiences with AI solutions and next-generation infrastructure.\nBuild brands, engage customers, and deliver insights with AI.\nConsumer behaviors are changing rapidly with the proliferation of high-performance connected devices. Agencies and corporate in-house creative teams must innovate with dynamic, experiential, and branded content that captivates and engages audiences in new ways. With NVIDIA GPUs, real-time technologies, and artificial intelligence, advertisers and brand leaders can create immersive real-time experiences while gaining much deeper consumer insights across all platforms.\nReal-time graphics, AI, virtualization, and data analytics solutions.\nNVIDIA RTX enables gaming companies to create breathtaking, interactive worlds with performance that exceeds gamers\u2019 expectations. Increasingly, game developers are making full use of virtualized production pipelines, integrating real-time ray tracing, and leveraging AI for deeper customer insights.\nLearn from global leaders in media and entertainment about the impact of real-time graphics, AI, and high-performance networking.\nCourtesy of Sony Pictures Animation\nSony Pictures Animation developed FlixiVerse, an app built on Omniverse Enterprise, allowing 2D artists to accelerate creative workflows with more iterations and easier transitions into 3D environments. See how they leveraged OpenUSD and Nucleus\u2019 auto-updating capabilities to give their artists greater control in pre-production.\nHear from innovators and creators across the M&E industry who are using RTX solutions to deliver captivating cinematic experiences in film and television. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX All Stars.\nRegistration Required\nImage courtesy of WPP\nThe world\u2019s largest marketing services organization is the first to launch automotive marketing services on Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nImage courtesy of V\u016b\nFrom powering LED Volumes and artist workstations to enabling AI and Generative AI workflows, the NVIDIA RTX\u2122 5000 Ada Generation GPU gives V\u016b the power and reliability to unleash the full potential of creative content.\nImage courtesy of V\u016b\nBroadcasters can automatically generate videos with text and develop lifelike virtual humans with Hour One\u2019s solutions, powered by NVIDIA Technologies.\nThe sheer power provided by the new RTX 6000 Ada GPUs has had a massive impact on how we interact with Neural Radiance Fields\u2026 What NVIDIA and HP have done not only makes existing graphically demanding tasks even faster, but it also unlocks a new chapter in real-time workflows that was simply not possible until now.\n\u2014 Landis Fields, Real-Time Principal Creative, Industrial Light & Magic\nThe NVIDIA RTX 6000 Ada Generation GPU is one step ahead of our evolving real-time pipeline for live-action filmmakers. It's adding efficiency, ease, and, more importantly, creative power directly to filmmakers.\n\u2014 Rapha\u00ebl Goudin, Virtual Production Supervisor, Versatile Media Ltd.\nNVIDIA continues to deliver solutions that light the path forward for an industry in transition, easing the adoption of the latest standards, and bringing flexibility and scalability to the broadcast market.\nNew Omniverse platform updates, connections to Adobe Firefly, and Ada-Generation systems to accelerate interoperable 3D workflows and industrial digitalization.\n20th Century Studios\nThe Academy Award nominations are in\u2014and for the 15th year in a row\u2014NVIDIA technologies worked behind the scenes of every film nominated for Best Visual Effects.\nExplore a hub of SDKs, resources, and news for developers working in the Media and Entertainment industry.\nFeatured\nSee how NVIDIA and our partners are helping the industry accelerate their production pipelines, deliver higher quality content, enhance live entertainment, and optimize distribution and monetization.\nVideos\nDevelop custom 3D pipelines and simulate large-scale, physically accurate virtual worlds with NVIDIA Omniverse Enterprise.\nStreamline building a state-of-the-art session-based recommender pipeline with this new free hands-on lab.\nThis session will walk you through what Universal Scene Description (USD) is, how assets are constructed with it, and why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nHelp us inspire the next generation by joining the NVIDIA Partner Network (NPN).\nOur experts can help your business unlock its potential.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/self-driving-cars/self-driving-cars-contact-us/#nav-lvl1-tab1-lvl2-tab2": "This form is for automotive inquires only. For other inquiries, please click here.\nOptional\nPlease provide a brief description of your product and business model.\nWhere do you stand within your product development? Please include the list of NVIDIA products you are using.\nHow can NVIDIA help you achieve your goals?\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/edge-computing/products/igx/#page-content": "Enterprise-Class Software for Mission-Critical AI\nNVIDIA AI Enterprise IGX is an enterprise-grade software solution for edge AI, purpose-built for mission-critical applications that run on the NVIDIA IGX Orin platform. It provides unmatched performance, security, stability, and long-term enterprise support for the entire software stack that consists of AI frameworks, SDKs, libraries, and IGX OS, assuring best-in-class security, safety, and support.\nA board management controller (BMC) included with IGX is integrated into the software stack for remote system management and software updates, a secure boot controller provides external root of trust, and a dedicated safety monitor supports a real-time operating system (RTOS) and built-in safety-monitoring software.",
    "https://www.nvidia.com/en-us/networking/ethernet-adapters/#nav-lvl1-tab2": "Providing up to four ports of connectivity and 400Gb/s of throughput, the NVIDIA ConnectX-7 NIC provides hardware-accelerated networking, storage, security, and manageability services at data center scale for cloud, telecommunications, AI, and enterprise workloads. ConnectX-7 empowers agile and high-performance networking solutions with features such as Accelerated Switching and Packet Processing (ASAP2), advanced RoCE, GPUDirect Storage, and in-line hardware acceleration for Transport Layer Security (TLS), IP Security (IPsec), and MAC Security (MACsec) encryption and decryption. ConnectX-7 enables organizations to meet their current and future networking needs in both high-bandwidth and high-density environments.",
    "https://www.nvidia.com/en-us/self-driving-cars/in-vehicle-computing/": "NVIDIA DriveWorks provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plug-ins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework. It\u2019s modular, open, and designed to be compliant with automotive industry software standards.",
    "https://www.nvidia.com/en-us/design-visualization/solutions/cloud-xr/#nav-lvl1-tab1": "Project Aurora simplifies deployment of on-premises XR applications at lab or enterprise scale. Customers are supported by a flexible ecosystem of OEMs, value-added resellers, software integration, and distribution partners to create and deliver custom, certified builds. With the collaboration of NVIDIA Professional Services, the delivery, set up, and start up of these builds is fully managed for the customer.",
    "https://www.nvidia.com/en-us/geforce/GeForce%20Support/#nav-lvl1-tab4-lvl2-tab1": "Learn about our previous generations of graphics cards, laptops, and more, including product specs and features.\nFollowing the posting of the final driver from Release 418 in April 2019, GeForce Game Ready Drivers will no longer support NVIDIA 3D Vision. The NVIDIA support team will continue to address critical driver issues for 3D Vision in Release 418 through April, 2020. Those looking to utilize 3D Vision can remain on a Release 418 driver.\nOur software that enables the use of 3D gaming with 3D TVs, 3DTV Play, is now included for free in Release 418. It is no longer available as a standalone download. Our 3D Vision Video Player will continue to be offered as a standalone download, for free, until the end of 2019.",
    "https://www.nvidia.com/en-us/industries/telecommunications/#nav-lvl1-tab1-lvl2-tab1": "The nexus of AI, the Internet of Things (IoT), and accelerated computing at the edge is turbocharging network performance and efficiency. The world\u2019s leading telcos are turning to NVIDIA technologies to create AI-enabled solutions, build software-defined and accelerated infrastructure for 5G, and bring connected intelligence to smart devices at the edge.\nView Report: State of AI in Telecom 2024\nAnsys, Keysight, Nokia, and Samsung are among the first to use NVIDIA Aerial Omniverse Digital Twin, Aerial CUDA-Accelerated RAN, and Sionna Neural Radio Framework.\nNVIDIA is a founding member of the AI-RAN Alliance, which was formed to advance cutting-edge research and development in AI that will transform RAN for 5G and upcoming 6G. The collaborative initiative aims to enhance global mobile network efficiency, reduce power consumption, and retrofit existing infrastructure by bringing together AI and RAN.\nServiceNow and NVIDIA introduced Now Assist for Telecommunications Service Management (TSM), built on the Now Platform with NVIDIA AI Enterprise to boost agent productivity, speed time to resolution, and enhance customer experiences.\nThe RAN is the artery of the global cellular industry, serving over five billion users.The NVIDIA Aerial\u2122 platform and NVIDIA-accelerated computing deliver industry-leading performance for 5G RAN networks in the field, as well as best-in-class total cost of ownership (TCO) and return on investment (ROI), by supporting generative AI and 5G on the same hardware and pioneering 6G research tools for the future.\nAs we enter an era where society coexists with AI, the demand for data processing and electricity requirements will rapidly increase\u2026 Our collaboration with NVIDIA will help our infrastructure achieve a significantly higher performance with the utilization of AI, including optimization of the RAN. We expect it can also help us reduce energy consumption and create a network of interconnected data centers that can be used to share resources and host a range of generative AI applications.\n- Junichi Miyakawa, President and CEO, SoftBank Corp.\nNetwork operations are becoming increasingly complex, generating vast amounts of valuable data. By leveraging generative AI to extract timely, actionable insights from this data, telcos can optimize network operations, improve customer experiences, and unlock new revenue streams.\nT-Mobile deployed a conversational AI-based chatbot, a self-service center, agent-assist functionality, and transcription services in their customer experience centers. Conversations between customers and agents are now transcribed to text\u2014live\u2014to better assist customer experience center agents. According to T-Mobile, in the first 18 months, they realized a significant return on their investment.\n- The AI-Powered Telco\nTelecom companies are perfectly positioned to expand their data centers with the accelerated computing infrastructure to support sovereign AI models and manufacture intelligence. This new class of data centers, known as AI factories, enables local governments, enterprises, and startups to build, develop, and deploy generative AI applications with enhanced security, performance, and fine-tuning for local language and cultural standards.\nAt Jio, we\u2019re committed to fueling India\u2019s technology renaissance by democratizing access to cutting-edge technologies, and our collaboration with NVIDIA is a significant step in this direction. Together, we will develop a state-of-the-art AI cloud infrastructure that\u2019s secure, sustainable, and deeply relevant across India, accelerating the nation\u2019s journey.\n- Mukesh Ambani, Chairman and Managing Director, Reliance Industries\nExplore the use cases driving telco investment in AI, including examples of telco deployments, and get an introduction to the ecosystem that can support your AI journey.\nLearn about telcos who are working with NVIDIA\u2019s AI ecosystem and the applications they\u2019re investing in to capitalize on enterprise service opportunities.\nLearn why a DPU or SmartNIC is one of the best ways to improve data center efficiency, and reduce server power consumption by up to 30%.\nExplore advances in 5G network acceleration and security, how AI-on-5G and edge applications are delivering new services, and how telcos are improving operations with AI.\nStay connected with the latest telecommunications news from NVIDIA.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/media-and-entertainment/": "AI-Enabled Content Creation, Distribution, and Consumption\nNew technologies are transforming the media and entertainment industry\u2014 AI-accelerated production pipelines deliver higher-quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.\nFor decades, NVIDIA has helped create and deliver award-winning content, and now it\u2019s redefining the future of M&E with state-of-the-art AI, hardware, software platforms, and networking solutions.\nHear from innovators and creators who are using NVIDIA GPUs to deliver captivating cinematic experiences. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX\u2122 All Stars.\nDiscover the power of AI, generative AI, virtual production, cloud-based workflows, and immersive graphics revolutionizing content creation, delivery, and consumption.\nAccelerate production pipelines with AI and real-time technologies.\nThe world's top film and television studios use NVIDIA technologies to power the most advanced, visually rich feature films and TV shows ever made. Discover how NVIDIA AI, RTX graphics, and state-of-the-art hardware and software platforms help make box office record-breakers, hit TV shows, and Academy Award-winning pictures possible.\nSolutions for immersive real-time graphics, IP video, and AI.\nNVIDIA technologies are helping broadcasters revolutionize how content is created, managed, distributed, and consumed. The latest enterprise-class NVIDIA GPUs, combined with NVIDIA networking technologies, enable all-new workflows for live broadcast. Gain new creative capabilities and deliver incredible viewer experiences with AI solutions and next-generation infrastructure.\nBuild brands, engage customers, and deliver insights with AI.\nConsumer behaviors are changing rapidly with the proliferation of high-performance connected devices. Agencies and corporate in-house creative teams must innovate with dynamic, experiential, and branded content that captivates and engages audiences in new ways. With NVIDIA GPUs, real-time technologies, and artificial intelligence, advertisers and brand leaders can create immersive real-time experiences while gaining much deeper consumer insights across all platforms.\nReal-time graphics, AI, virtualization, and data analytics solutions.\nNVIDIA RTX enables gaming companies to create breathtaking, interactive worlds with performance that exceeds gamers\u2019 expectations. Increasingly, game developers are making full use of virtualized production pipelines, integrating real-time ray tracing, and leveraging AI for deeper customer insights.\nLearn from global leaders in media and entertainment about the impact of real-time graphics, AI, and high-performance networking.\nCourtesy of Sony Pictures Animation\nSony Pictures Animation developed FlixiVerse, an app built on Omniverse Enterprise, allowing 2D artists to accelerate creative workflows with more iterations and easier transitions into 3D environments. See how they leveraged OpenUSD and Nucleus\u2019 auto-updating capabilities to give their artists greater control in pre-production.\nHear from innovators and creators across the M&E industry who are using RTX solutions to deliver captivating cinematic experiences in film and television. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX All Stars.\nRegistration Required\nImage courtesy of WPP\nThe world\u2019s largest marketing services organization is the first to launch automotive marketing services on Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nImage courtesy of V\u016b\nFrom powering LED Volumes and artist workstations to enabling AI and Generative AI workflows, the NVIDIA RTX\u2122 5000 Ada Generation GPU gives V\u016b the power and reliability to unleash the full potential of creative content.\nImage courtesy of V\u016b\nBroadcasters can automatically generate videos with text and develop lifelike virtual humans with Hour One\u2019s solutions, powered by NVIDIA Technologies.\nThe sheer power provided by the new RTX 6000 Ada GPUs has had a massive impact on how we interact with Neural Radiance Fields\u2026 What NVIDIA and HP have done not only makes existing graphically demanding tasks even faster, but it also unlocks a new chapter in real-time workflows that was simply not possible until now.\n\u2014 Landis Fields, Real-Time Principal Creative, Industrial Light & Magic\nThe NVIDIA RTX 6000 Ada Generation GPU is one step ahead of our evolving real-time pipeline for live-action filmmakers. It's adding efficiency, ease, and, more importantly, creative power directly to filmmakers.\n\u2014 Rapha\u00ebl Goudin, Virtual Production Supervisor, Versatile Media Ltd.\nNVIDIA continues to deliver solutions that light the path forward for an industry in transition, easing the adoption of the latest standards, and bringing flexibility and scalability to the broadcast market.\nNew Omniverse platform updates, connections to Adobe Firefly, and Ada-Generation systems to accelerate interoperable 3D workflows and industrial digitalization.\n20th Century Studios\nThe Academy Award nominations are in\u2014and for the 15th year in a row\u2014NVIDIA technologies worked behind the scenes of every film nominated for Best Visual Effects.\nExplore a hub of SDKs, resources, and news for developers working in the Media and Entertainment industry.\nFeatured\nSee how NVIDIA and our partners are helping the industry accelerate their production pipelines, deliver higher quality content, enhance live entertainment, and optimize distribution and monetization.\nVideos\nDevelop custom 3D pipelines and simulate large-scale, physically accurate virtual worlds with NVIDIA Omniverse Enterprise.\nStreamline building a state-of-the-art session-based recommender pipeline with this new free hands-on lab.\nThis session will walk you through what Universal Scene Description (USD) is, how assets are constructed with it, and why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nHelp us inspire the next generation by joining the NVIDIA Partner Network (NPN).\nOur experts can help your business unlock its potential.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/industries/media-entertainment/#subscribe-me-solutions": "AI-Enabled Content Creation, Distribution, and Consumption\nNew technologies are transforming the media and entertainment industry\u2014 AI-accelerated production pipelines deliver higher-quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.\nFor decades, NVIDIA has helped create and deliver award-winning content, and now it\u2019s redefining the future of M&E with state-of-the-art AI, hardware, software platforms, and networking solutions.\nHear from innovators and creators who are using NVIDIA GPUs to deliver captivating cinematic experiences. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX\u2122 All Stars.\nDiscover the power of AI, generative AI, virtual production, cloud-based workflows, and immersive graphics revolutionizing content creation, delivery, and consumption.\nAccelerate production pipelines with AI and real-time technologies.\nThe world's top film and television studios use NVIDIA technologies to power the most advanced, visually rich feature films and TV shows ever made. Discover how NVIDIA AI, RTX graphics, and state-of-the-art hardware and software platforms help make box office record-breakers, hit TV shows, and Academy Award-winning pictures possible.\nSolutions for immersive real-time graphics, IP video, and AI.\nNVIDIA technologies are helping broadcasters revolutionize how content is created, managed, distributed, and consumed. The latest enterprise-class NVIDIA GPUs, combined with NVIDIA networking technologies, enable all-new workflows for live broadcast. Gain new creative capabilities and deliver incredible viewer experiences with AI solutions and next-generation infrastructure.\nBuild brands, engage customers, and deliver insights with AI.\nConsumer behaviors are changing rapidly with the proliferation of high-performance connected devices. Agencies and corporate in-house creative teams must innovate with dynamic, experiential, and branded content that captivates and engages audiences in new ways. With NVIDIA GPUs, real-time technologies, and artificial intelligence, advertisers and brand leaders can create immersive real-time experiences while gaining much deeper consumer insights across all platforms.\nReal-time graphics, AI, virtualization, and data analytics solutions.\nNVIDIA RTX enables gaming companies to create breathtaking, interactive worlds with performance that exceeds gamers\u2019 expectations. Increasingly, game developers are making full use of virtualized production pipelines, integrating real-time ray tracing, and leveraging AI for deeper customer insights.\nLearn from global leaders in media and entertainment about the impact of real-time graphics, AI, and high-performance networking.\nCourtesy of Sony Pictures Animation\nSony Pictures Animation developed FlixiVerse, an app built on Omniverse Enterprise, allowing 2D artists to accelerate creative workflows with more iterations and easier transitions into 3D environments. See how they leveraged OpenUSD and Nucleus\u2019 auto-updating capabilities to give their artists greater control in pre-production.\nHear from innovators and creators across the M&E industry who are using RTX solutions to deliver captivating cinematic experiences in film and television. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX All Stars.\nRegistration Required\nImage courtesy of WPP\nThe world\u2019s largest marketing services organization is the first to launch automotive marketing services on Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nImage courtesy of V\u016b\nFrom powering LED Volumes and artist workstations to enabling AI and Generative AI workflows, the NVIDIA RTX\u2122 5000 Ada Generation GPU gives V\u016b the power and reliability to unleash the full potential of creative content.\nImage courtesy of V\u016b\nBroadcasters can automatically generate videos with text and develop lifelike virtual humans with Hour One\u2019s solutions, powered by NVIDIA Technologies.\nThe sheer power provided by the new RTX 6000 Ada GPUs has had a massive impact on how we interact with Neural Radiance Fields\u2026 What NVIDIA and HP have done not only makes existing graphically demanding tasks even faster, but it also unlocks a new chapter in real-time workflows that was simply not possible until now.\n\u2014 Landis Fields, Real-Time Principal Creative, Industrial Light & Magic\nThe NVIDIA RTX 6000 Ada Generation GPU is one step ahead of our evolving real-time pipeline for live-action filmmakers. It's adding efficiency, ease, and, more importantly, creative power directly to filmmakers.\n\u2014 Rapha\u00ebl Goudin, Virtual Production Supervisor, Versatile Media Ltd.\nNVIDIA continues to deliver solutions that light the path forward for an industry in transition, easing the adoption of the latest standards, and bringing flexibility and scalability to the broadcast market.\nNew Omniverse platform updates, connections to Adobe Firefly, and Ada-Generation systems to accelerate interoperable 3D workflows and industrial digitalization.\n20th Century Studios\nThe Academy Award nominations are in\u2014and for the 15th year in a row\u2014NVIDIA technologies worked behind the scenes of every film nominated for Best Visual Effects.\nExplore a hub of SDKs, resources, and news for developers working in the Media and Entertainment industry.\nFeatured\nSee how NVIDIA and our partners are helping the industry accelerate their production pipelines, deliver higher quality content, enhance live entertainment, and optimize distribution and monetization.\nVideos\nDevelop custom 3D pipelines and simulate large-scale, physically accurate virtual worlds with NVIDIA Omniverse Enterprise.\nStreamline building a state-of-the-art session-based recommender pipeline with this new free hands-on lab.\nThis session will walk you through what Universal Scene Description (USD) is, how assets are constructed with it, and why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nHelp us inspire the next generation by joining the NVIDIA Partner Network (NPN).\nOur experts can help your business unlock its potential.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/solutions/quadro-vr/": "As real as it gets.\nExtended reality (XR) is revolutionizing professional workflows with technology that makes it possible to work at scale. Holding virtual models in your hands, walking through entire virtual buildings, rehearsing complex surgical procedures in virtual environments, \u2014 XR is completely changing how people experience the workplace.\nNVIDIA's XR platform \u2014 which includes NVIDIA VR Ready GPUs, groundbreaking XR tools, and development software \u2014 drives the world's greatest VR experiences.\nNVIDIA's VR platform \u2013 which includes NVIDIA Quadro\u2122 VR Ready GPUs, software, and VRWorks\u2122 SDKs \u2013 drives the world's greatest VR experiences.\nNVIDIA CloudXR\u2122, a groundbreaking innovation built on NVIDIA RTX\u2122 technology, delivers VR and AR across 5G and Wi-Fi networks.\nNVIDIA VRWorks\u2122 enables a new level of presence by bringing physically realistic visuals, sound, touch interactions, and simulated environments to virtual reality.\nThe NVIDIA VR Ready program ensures system components \u2013 GPU, CPU, HMD, and drivers \u2013 will provide the best immersive virtual reality experiences.\nNVIDIA Omniverse Create is an app that accelerates advanced scene composition and allows users to interact with their assembled scenes.\nNVIDIA VCR enables developers and users to accurately capture and replay VR sessions for performance testing, scene troubleshooting, and more.\nFrom foveated displays to collaboration platforms for virtual worlds, explore the latest in virtual and augmented reality and how it can be integrated into your workflows.\nFactory 42 combined captivating storytelling with cutting-edge technology to elevate the AR experience and deliver high-fidelity, photorealistic virtual environments over 5G networks using NVIDIA RTX and CloudXR.\nNVIDIA Virtual Reality Capture and Replay (VCR) enables developers and users to accurately capture and replay VR sessions for performance testing, scene troubleshooting, and more. Now available for early access users.\nStreaming XR is changing the model of distributing immersive applications. Learn how servers are built to deliver immersive workloads and take advantage of compute power to combine XR applications with AI and other computing functions.\nExtended reality, or XR, is a collective term that refers to immersive technologies, including virtual reality, augmented reality, and mixed reality. Learn more about what this means for our world today.\nNVIDIA CloudXR users harness the full power and visual richness delivered by NVIDIA\u2019s RTX GPUs while enjoying the freedom and mobility of untethered AR and VR devices.\nVolvo brings new levels of collaboration to design reviews by streaming ESI Group\u2019s IC.IDO using NVIDIA CloudXR.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/data-center/solutions/mlops/#teraco": "The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates data science pipelines and streamlines development and deployment of production AI, including generative AI, computer vision, speech AI, and more. With over 100 frameworks, pretrained models, and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI and deliver enterprise-ready MLOps with enterprise-grade security, reliability, including API stability, and support.",
    "https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/": "Data analytics and database workflows have traditionally relied on CPUs for compute. Accelerated data science can dramatically boost the performance of end-to-end analytics, speeding up value generation while reducing cost. Databases, including Apache Spark, play critical roles in handling, processing, and analyzing large volumes of data for data analytics.\nBlackwell\u2019s Decompression Engine and ability to access massive amounts of memory in the NVIDIA Grace\u2122 CPU over a high-speed link\u2014900 gigabytes per second (GB/s) of bidirectional bandwidth\u2014accelerate the full pipeline of database queries for the highest performance in data analytics and data science with support for the latest compression formats such as LZ4, Snappy, and Deflate.",
    "https://www.nvidia.com/en-us/data-center/products/": "NVIDIA AI Enterprise is an end-to-end, secure, and cloud-native AI software platform that accelerates the data science pipeline and streamlines the development and deployment of production AI.\nAvailable in the cloud, data center, and at the edge, NVIDIA AI Enterprise provides businesses with a smooth transition to AI\u2014from pilot to production\u2014that offers security, support, manageability, and stability.",
    "https://www.nvidia.com/en-us/self-driving-cars/in-vehicle-computing/#nav-lvl1-tab4-lvl2-tab2": "NVIDIA DriveWorks provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plug-ins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework. It\u2019s modular, open, and designed to be compliant with automotive industry software standards.",
    "https://www.nvidia.com/en-us/networking/ethernet-adapters/#nav-lvl1-tab4-lvl2-tab6": "Providing up to four ports of connectivity and 400Gb/s of throughput, the NVIDIA ConnectX-7 NIC provides hardware-accelerated networking, storage, security, and manageability services at data center scale for cloud, telecommunications, AI, and enterprise workloads. ConnectX-7 empowers agile and high-performance networking solutions with features such as Accelerated Switching and Packet Processing (ASAP2), advanced RoCE, GPUDirect Storage, and in-line hardware acceleration for Transport Layer Security (TLS), IP Security (IPsec), and MAC Security (MACsec) encryption and decryption. ConnectX-7 enables organizations to meet their current and future networking needs in both high-bandwidth and high-density environments.",
    "https://www.nvidia.com/en-us/industries/telecommunications/#page-content": "The nexus of AI, the Internet of Things (IoT), and accelerated computing at the edge is turbocharging network performance and efficiency. The world\u2019s leading telcos are turning to NVIDIA technologies to create AI-enabled solutions, build software-defined and accelerated infrastructure for 5G, and bring connected intelligence to smart devices at the edge.\nView Report: State of AI in Telecom 2024\nAnsys, Keysight, Nokia, and Samsung are among the first to use NVIDIA Aerial Omniverse Digital Twin, Aerial CUDA-Accelerated RAN, and Sionna Neural Radio Framework.\nNVIDIA is a founding member of the AI-RAN Alliance, which was formed to advance cutting-edge research and development in AI that will transform RAN for 5G and upcoming 6G. The collaborative initiative aims to enhance global mobile network efficiency, reduce power consumption, and retrofit existing infrastructure by bringing together AI and RAN.\nServiceNow and NVIDIA introduced Now Assist for Telecommunications Service Management (TSM), built on the Now Platform with NVIDIA AI Enterprise to boost agent productivity, speed time to resolution, and enhance customer experiences.\nThe RAN is the artery of the global cellular industry, serving over five billion users.The NVIDIA Aerial\u2122 platform and NVIDIA-accelerated computing deliver industry-leading performance for 5G RAN networks in the field, as well as best-in-class total cost of ownership (TCO) and return on investment (ROI), by supporting generative AI and 5G on the same hardware and pioneering 6G research tools for the future.\nAs we enter an era where society coexists with AI, the demand for data processing and electricity requirements will rapidly increase\u2026 Our collaboration with NVIDIA will help our infrastructure achieve a significantly higher performance with the utilization of AI, including optimization of the RAN. We expect it can also help us reduce energy consumption and create a network of interconnected data centers that can be used to share resources and host a range of generative AI applications.\n- Junichi Miyakawa, President and CEO, SoftBank Corp.\nNetwork operations are becoming increasingly complex, generating vast amounts of valuable data. By leveraging generative AI to extract timely, actionable insights from this data, telcos can optimize network operations, improve customer experiences, and unlock new revenue streams.\nT-Mobile deployed a conversational AI-based chatbot, a self-service center, agent-assist functionality, and transcription services in their customer experience centers. Conversations between customers and agents are now transcribed to text\u2014live\u2014to better assist customer experience center agents. According to T-Mobile, in the first 18 months, they realized a significant return on their investment.\n- The AI-Powered Telco\nTelecom companies are perfectly positioned to expand their data centers with the accelerated computing infrastructure to support sovereign AI models and manufacture intelligence. This new class of data centers, known as AI factories, enables local governments, enterprises, and startups to build, develop, and deploy generative AI applications with enhanced security, performance, and fine-tuning for local language and cultural standards.\nAt Jio, we\u2019re committed to fueling India\u2019s technology renaissance by democratizing access to cutting-edge technologies, and our collaboration with NVIDIA is a significant step in this direction. Together, we will develop a state-of-the-art AI cloud infrastructure that\u2019s secure, sustainable, and deeply relevant across India, accelerating the nation\u2019s journey.\n- Mukesh Ambani, Chairman and Managing Director, Reliance Industries\nExplore the use cases driving telco investment in AI, including examples of telco deployments, and get an introduction to the ecosystem that can support your AI journey.\nLearn about telcos who are working with NVIDIA\u2019s AI ecosystem and the applications they\u2019re investing in to capitalize on enterprise service opportunities.\nLearn why a DPU or SmartNIC is one of the best ways to improve data center efficiency, and reduce server power consumption by up to 30%.\nExplore advances in 5G network acceleration and security, how AI-on-5G and edge applications are delivering new services, and how telcos are improving operations with AI.\nStay connected with the latest telecommunications news from NVIDIA.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce/rtx-remix/": "Create stunning RTX remasters of classic games. Built on NVIDIA Omniverse, RTX Remix allows modders to easily capture game assets, automatically enhance materials with generative AI tools, and quickly create stunning RTX remasters with full ray tracing and DLSS 3.5 with Ray Reconstruction.\nThe RTX Remix app is your central UI for creating RTX mods of classic games. Easily import game captures, enhance assets, relight scenes with path-traced lighting, and see updates live in the RTX Remix viewport.\nRTX Remix is built on NVIDIA Omniverse\u2122, a hub to streamline 3D workflows, allowing you to move assets quickly between RTX Remix and popular 3D tools like Blender and Adobe Substance via the industry-standard Universal Scene Description (OpenUSD) framework.\nRTX Remix\u2019s generative AI texture tools analyze low-resolution textures from classic games, generate physically accurate materials\u2014including normal and roughness maps\u2014and upscale the resolution by up to 4X.\nThe RTX Remix runtime dynamically replaces original assets with modded assets at playback while injecting RTX technologies including path tracing, DLSS 3 and Reflex. Quickly tune mods in real time with the in-game overlay and capture assets from the game via the RTX Remix creator app. The RTX Remix runtime is open-sourced on GitHub for the modding community to contribute to.\nDownload and install NVIDIA Omniverse with RTX Remix.\nCreate an Omniverse account and log in.\nLaunch RTX Remix from Omniverse.\nCheck out our documentation\nWatch RTX Remix tutorials\nJoin the RTX Remix Discord\nSee Community Resources on ModDB\nCheck out the FAQ\nSystem Requirements\nPersonal Information\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/omniverse/cloud/#nav-lvl1-tab1-lvl2-tab1": "A fully managed platform-as-a-service offering for developing generative AI-enabled OpenUSD applications.\nNVIDIA Omniverse\u2122 Cloud is a platform of APIs, SDKs, and services available within a full-stack cloud environment for enterprise developers to easily integrate Universal Scene Description (OpenUSD) and RTX rendering technologies into their 3D industrial digitalization applications.\nFast-track access to secure cloud service infrastructure and NVIDIA Omniverse software and services\u2014from anywhere.\nAccess a fully optimized infrastructure and development platform to accommodate the most demanding 3D and digitalization workloads\u2014all with a single subscription.\nTap into a true PaaS experience that enables enterprise teams to build advanced OpenUSD-based tools and applications for 3D workflows and digital twins.\nEffortlessly scale users and applications as your industrial digitalization projects grow.\nSee how you can leverage Omniverse Cloud as a platform-as-a-service to enable industrial digitalization efforts.\nWPP\nProduce high-quality content with generative AI tools built on NVIDIA Picasso, and publish interactive brand experiences with NVIDIA\u2019s Graphics Delivery Network (GDN).\nForetellix\nForetellix, an AV validation tool developer, unlocks sensor simulation with Omniverse Cloud APIs to improve safety while accelerating workflows and reducing costs.\nAmazon Robotics\nBootstrap training and accuracy of computer vision networks with NVIDIA Omniverse Replicator.\nPegatron\nImprove warehouse or factory layouts and train intelligent robotic assistants with NVIDIA Isaac Sim\u2122 and Omniverse Replicator.\n*Pricing for Graphics Delivery Network (GDN) is separate from Omniverse Cloud platform-as-a-service.\nDevelopers can supercharge advanced 3D applications and experience development by accessing Omniverse Cloud APIs.\nComing Soon\nGDN uses NVIDIA\u2019s global cloud streaming infrastructure to deliver high-fidelity, interactive 3D experiences to any web device.\nNVIDIA Omniverse\u2122 Cloud is a fully managed platform-as-a-service (PaaS) for developing generative AI-enabled OpenUSD applications. It provides developers and enterprises with a full-stack cloud environment to easily integrate Universal Scene Description (OpenUSD) and RTX rendering technologies into their 3D industrial digitalization applications.\nDeployed on NVIDIA OVX servers, Omniverse Cloud features a suite of customizable sample applications and frameworks for developers to build custom workflows. These include 3D asset aggregation and scene assembly, digital twin development, synthetic data generation, robotics testing and simulation, and autonomous vehicle training and validation.\nOmniverse Cloud platform-as-a-service includes access to NVIDIA experts and Enterprise Support to minimize system downtime and maximize system utilization and user productivity.\nOmniverse Cloud PaaS is currently available to enterprises as a private cloud offering from NVIDIA. The service is cloud-agnostic and is currently available on Microsoft Azure.\nYes, Omniverse developers can deploy containers available on NVIDIA NGC in public clouds like AWS, Microsoft Azure, and others.\n*An Omniverse Enterprise license is required.\nOmniverse Cloud platform-as-a-service is available as an enterprise private offer. Please contact sales.\nThank you for your interest in NVIDIA Omniverse Enterprise, Omniverse Cloud, and OVX. We would love to help you get started. Fill out the form and an expert will get back to you shortly.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/omniverse/solutions/3d-design-collaboration/": "There are two methods to get started with developing on NVIDIA Omniverse:\nPlatform SDK\nFor developers looking to build an application from scratch, NVIDIA offers Omniverse Kit SDK and free sample applications that can be easily customized and extended.\nDownload the platform SDK here.\nCloud APIs\nFor developers looking to take only the pieces they need, NVIDIA offers Omniverse core technologies that are exposed as simple APIs that developers can self-host on any cloud, multi-cloud, or virtual private cloud, or, consume as a managed service from NVIDIA Omniverse Cloud on Microsoft Azure.\nOmniverse core APIs give developers the ability to integrate USD data ingest, and RTX-enabled output.\nApply for early access to APIs.",
    "https://www.nvidia.com/en-us/industries/media-and-entertainment/#page-content": "AI-Enabled Content Creation, Distribution, and Consumption\nNew technologies are transforming the media and entertainment industry\u2014 AI-accelerated production pipelines deliver higher-quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.\nFor decades, NVIDIA has helped create and deliver award-winning content, and now it\u2019s redefining the future of M&E with state-of-the-art AI, hardware, software platforms, and networking solutions.\nHear from innovators and creators who are using NVIDIA GPUs to deliver captivating cinematic experiences. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX\u2122 All Stars.\nDiscover the power of AI, generative AI, virtual production, cloud-based workflows, and immersive graphics revolutionizing content creation, delivery, and consumption.\nAccelerate production pipelines with AI and real-time technologies.\nThe world's top film and television studios use NVIDIA technologies to power the most advanced, visually rich feature films and TV shows ever made. Discover how NVIDIA AI, RTX graphics, and state-of-the-art hardware and software platforms help make box office record-breakers, hit TV shows, and Academy Award-winning pictures possible.\nSolutions for immersive real-time graphics, IP video, and AI.\nNVIDIA technologies are helping broadcasters revolutionize how content is created, managed, distributed, and consumed. The latest enterprise-class NVIDIA GPUs, combined with NVIDIA networking technologies, enable all-new workflows for live broadcast. Gain new creative capabilities and deliver incredible viewer experiences with AI solutions and next-generation infrastructure.\nBuild brands, engage customers, and deliver insights with AI.\nConsumer behaviors are changing rapidly with the proliferation of high-performance connected devices. Agencies and corporate in-house creative teams must innovate with dynamic, experiential, and branded content that captivates and engages audiences in new ways. With NVIDIA GPUs, real-time technologies, and artificial intelligence, advertisers and brand leaders can create immersive real-time experiences while gaining much deeper consumer insights across all platforms.\nReal-time graphics, AI, virtualization, and data analytics solutions.\nNVIDIA RTX enables gaming companies to create breathtaking, interactive worlds with performance that exceeds gamers\u2019 expectations. Increasingly, game developers are making full use of virtualized production pipelines, integrating real-time ray tracing, and leveraging AI for deeper customer insights.\nLearn from global leaders in media and entertainment about the impact of real-time graphics, AI, and high-performance networking.\nCourtesy of Sony Pictures Animation\nSony Pictures Animation developed FlixiVerse, an app built on Omniverse Enterprise, allowing 2D artists to accelerate creative workflows with more iterations and easier transitions into 3D environments. See how they leveraged OpenUSD and Nucleus\u2019 auto-updating capabilities to give their artists greater control in pre-production.\nHear from innovators and creators across the M&E industry who are using RTX solutions to deliver captivating cinematic experiences in film and television. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX All Stars.\nRegistration Required\nImage courtesy of WPP\nThe world\u2019s largest marketing services organization is the first to launch automotive marketing services on Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nImage courtesy of V\u016b\nFrom powering LED Volumes and artist workstations to enabling AI and Generative AI workflows, the NVIDIA RTX\u2122 5000 Ada Generation GPU gives V\u016b the power and reliability to unleash the full potential of creative content.\nImage courtesy of V\u016b\nBroadcasters can automatically generate videos with text and develop lifelike virtual humans with Hour One\u2019s solutions, powered by NVIDIA Technologies.\nThe sheer power provided by the new RTX 6000 Ada GPUs has had a massive impact on how we interact with Neural Radiance Fields\u2026 What NVIDIA and HP have done not only makes existing graphically demanding tasks even faster, but it also unlocks a new chapter in real-time workflows that was simply not possible until now.\n\u2014 Landis Fields, Real-Time Principal Creative, Industrial Light & Magic\nThe NVIDIA RTX 6000 Ada Generation GPU is one step ahead of our evolving real-time pipeline for live-action filmmakers. It's adding efficiency, ease, and, more importantly, creative power directly to filmmakers.\n\u2014 Rapha\u00ebl Goudin, Virtual Production Supervisor, Versatile Media Ltd.\nNVIDIA continues to deliver solutions that light the path forward for an industry in transition, easing the adoption of the latest standards, and bringing flexibility and scalability to the broadcast market.\nNew Omniverse platform updates, connections to Adobe Firefly, and Ada-Generation systems to accelerate interoperable 3D workflows and industrial digitalization.\n20th Century Studios\nThe Academy Award nominations are in\u2014and for the 15th year in a row\u2014NVIDIA technologies worked behind the scenes of every film nominated for Best Visual Effects.\nExplore a hub of SDKs, resources, and news for developers working in the Media and Entertainment industry.\nFeatured\nSee how NVIDIA and our partners are helping the industry accelerate their production pipelines, deliver higher quality content, enhance live entertainment, and optimize distribution and monetization.\nVideos\nDevelop custom 3D pipelines and simulate large-scale, physically accurate virtual worlds with NVIDIA Omniverse Enterprise.\nStreamline building a state-of-the-art session-based recommender pipeline with this new free hands-on lab.\nThis session will walk you through what Universal Scene Description (USD) is, how assets are constructed with it, and why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nHelp us inspire the next generation by joining the NVIDIA Partner Network (NPN).\nOur experts can help your business unlock its potential.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/research/ai-playground/": "Try State-of-the-Art Generative AI Models From Your Browser NVIDIA AI Foundation offers an easy-to-use interface to quickly experience generative AI models from your browser without any setup. After you explore the model, you can customize it and take it to production with NVIDIA AI Enterprise. Try AI Foundation Models",
    "https://www.nvidia.com/en-us/networking/infiniband-switching/": "Complex workloads demand ultra-fast processing of high-resolution simulations, extreme-size datasets, and highly parallelized algorithms. As these computing requirements continue to grow, NVIDIA Quantum InfiniBand\u2014the world\u2019s only fully offloadable, In-Network Computing platform\u2014provides the dramatic leap in performance needed to achieve unmatched data center performance with less cost and complexity.",
    "https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-analytics/": "Businesses utilize analytics to understand their data and drive business decisions. While data analytics has unlocked vast potential, traditional CPU-based data processing and analysis have increased overhead and added complexity to business operations, decreasing the return on investment. Accelerated data science ushers in a new era of data analytics, allowing for organizations and practitioners to get the most out of their data and their infrastructure.\nAccelerated data science delivers improvements across the end-to-end data analytics workflow, whether you\u2019re transforming data for enterprise consumption or visualizing terabyte-scale data to understand a particular problem domain. Data practitioners can leverage NVIDIA GPUs with ease using their preferred toolset, bringing the power of high-performance computing to your organization with a minimal learning curve.\nBy harnessing the power of high-performance data analytics, businesses can better serve their customers, develop products faster, and enable innovations across their enterprise.",
    "https://www.nvidia.com/en-us/data-center/products/ovx/": "NVIDIA Omniverse\u2122 makes it possible to connect, develop, and operate the next wave of industrial digitalization applications. With powerful RTX graphics and AI capabilities, OVX delivers exceptional performance for Universal Scene Description (OpenUSD)-based 3D and simulation workflows built on Omniverse.",
    "https://www.nvidia.com/en-us/networking/infiniband-long-haul-systems/": "Untold Secrets of the Efficient Data Center\nIn an independent research study, key IT executives identified one key technology that can be used to support cloud-scale data centers models. Read the report to find out what was the number one technology for delivering efficiency in the cloud and the key to top performance in AI and ML environments.",
    "https://www.nvidia.com/en-us/industries/industrial-sector/siemens/": "NVIDIA and Siemens are collaborating to connect the Siemens Xcelerator and NVIDIA Omniverse platforms to unlock industrial digitalization.\nSee how NVIDIA and Siemens are revolutionizing manufacturing and product lifecycle management by unifying data with Universal Scene Description (OpenUSD).\nSee how Siemens is bringing the real and digital worlds even closer by integrating NVIDIA Omniverse technologies into Teamcenter X, built on the Siemens Xcelerator platform.\nSiemens is driving a new era of industrial digitalization with NVIDIA Omniverse and generative AI integration across the Siemens Xcelerator portfolio.\nOmniverse Cloud will be available as APIs, extending the reach of the world\u2019s leading platform for creating industrial digital twins across the entire ecosystem of software makers.\nThe integration between Siemens Xcelerator and NVIDIA Omniverse enables FREYR Battery to meet surging demand for high-density, cost-effective battery cells.\nTo achieve climate neutrality by 2050, German national railway operator, Deutsche Bahn, is building autonomous railway networks and trains to maximize efficiency of existing railroad capacity for the transport of goods and passengers.\nHear from NVIDIA CEO Jensen Huang, Siemens CEO Roland Busch, and BMW AG board member Milan Nedeljkovi\u0107 as they discuss the next stage of industrial automation.\nConnecting Siemens Xcelerator and NVIDIA Omniverse will usher in a new era of industrial automation, enabling industrial companies of all sizes to build closed-loop, truly real-time, full-design-fidelity immersive digital twins.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/omniverse/cloud/#nav-lvl1-tab4-lvl2-tab1": "A fully managed platform-as-a-service offering for developing generative AI-enabled OpenUSD applications.\nNVIDIA Omniverse\u2122 Cloud is a platform of APIs, SDKs, and services available within a full-stack cloud environment for enterprise developers to easily integrate Universal Scene Description (OpenUSD) and RTX rendering technologies into their 3D industrial digitalization applications.\nFast-track access to secure cloud service infrastructure and NVIDIA Omniverse software and services\u2014from anywhere.\nAccess a fully optimized infrastructure and development platform to accommodate the most demanding 3D and digitalization workloads\u2014all with a single subscription.\nTap into a true PaaS experience that enables enterprise teams to build advanced OpenUSD-based tools and applications for 3D workflows and digital twins.\nEffortlessly scale users and applications as your industrial digitalization projects grow.\nSee how you can leverage Omniverse Cloud as a platform-as-a-service to enable industrial digitalization efforts.\nWPP\nProduce high-quality content with generative AI tools built on NVIDIA Picasso, and publish interactive brand experiences with NVIDIA\u2019s Graphics Delivery Network (GDN).\nForetellix\nForetellix, an AV validation tool developer, unlocks sensor simulation with Omniverse Cloud APIs to improve safety while accelerating workflows and reducing costs.\nAmazon Robotics\nBootstrap training and accuracy of computer vision networks with NVIDIA Omniverse Replicator.\nPegatron\nImprove warehouse or factory layouts and train intelligent robotic assistants with NVIDIA Isaac Sim\u2122 and Omniverse Replicator.\n*Pricing for Graphics Delivery Network (GDN) is separate from Omniverse Cloud platform-as-a-service.\nDevelopers can supercharge advanced 3D applications and experience development by accessing Omniverse Cloud APIs.\nComing Soon\nGDN uses NVIDIA\u2019s global cloud streaming infrastructure to deliver high-fidelity, interactive 3D experiences to any web device.\nNVIDIA Omniverse\u2122 Cloud is a fully managed platform-as-a-service (PaaS) for developing generative AI-enabled OpenUSD applications. It provides developers and enterprises with a full-stack cloud environment to easily integrate Universal Scene Description (OpenUSD) and RTX rendering technologies into their 3D industrial digitalization applications.\nDeployed on NVIDIA OVX servers, Omniverse Cloud features a suite of customizable sample applications and frameworks for developers to build custom workflows. These include 3D asset aggregation and scene assembly, digital twin development, synthetic data generation, robotics testing and simulation, and autonomous vehicle training and validation.\nOmniverse Cloud platform-as-a-service includes access to NVIDIA experts and Enterprise Support to minimize system downtime and maximize system utilization and user productivity.\nOmniverse Cloud PaaS is currently available to enterprises as a private cloud offering from NVIDIA. The service is cloud-agnostic and is currently available on Microsoft Azure.\nYes, Omniverse developers can deploy containers available on NVIDIA NGC in public clouds like AWS, Microsoft Azure, and others.\n*An Omniverse Enterprise license is required.\nOmniverse Cloud platform-as-a-service is available as an enterprise private offer. Please contact sales.\nThank you for your interest in NVIDIA Omniverse Enterprise, Omniverse Cloud, and OVX. We would love to help you get started. Fill out the form and an expert will get back to you shortly.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/data-center/virtualization/": "NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software, optimized for every organization to excel at AI, certified to deploy anywhere from the enterprise data center to the public cloud, and includes global enterprise support so AI projects stay on track, allowing organizations to focus on harnessing the business value of AI.",
    "https://www.nvidia.com/en-us/studio/professional-workstations/": "Whether it's design, animation, video editing, or VFX \u2013 as an artist you are defined by your creativity and an unapologetic obsession for your craft. NVIDIA Studio desktop and mobile workstations are engineered to let you focus on your ideas, not your system. Packing the ultimate in performance, massive memory, and exclusive professional features, you have everything you need to deliver your finest work yet.\nWhen it comes to mission-critical work, performance is nothing without reliability. NVIDIA RTX workstations excel in both areas thanks to their meticulous design and innovation at every level. Expect supercharged performance from pro-grade graphics cards, CPUs, and ECC RAM while software application certifications, system optimizers, and enterprise-grade support provide you the confidence to work unhindered.\nNVIDIA Studio workstations feature NVIDIA RTX GPUs for professional graphics and compute performance. Thanks to up to 16GB of ECC memory in mobile systems and up to 48GB of ECC memory in a desktop, even the most complex projects are handled with ease. Plus, with NVIDIA RT Cores and Tensor Cores for real-time ray tracing and AI-acceleration, you can render photorealistic images, edit 8K video, color grade, or produce your next live broadcast spectacularly fast.\nWorking across multiple design apps simultaneously is an essential part of many creative workflows, which is why massive memory capacity matters. NVIDIA RTX delivers enough ultra-fast graphics memory and power letting you load huge project files, run all your creative apps at the same time, and still enjoy a smooth interactive design experience. No more worrying about performance and system stability, even the largest projects and the tightest deadlines are delivered effortlessly and stress-free.\nRender large scene files with ease in the application viewport with RTX-accelerated rendering and AI-denoising. Enhance performance and image quality with DLSS in select applications.\nBuild entire worlds in 3D with high-resolution textures and geometry with massive graphics memory capacities. Deliver complex renders free of errors with ECC memory and large GPU framebuffers\u2014up to 48GB from a desktop or server or up to 16GB from a laptop.\nCapture imaginations with large scale visualizations. Create a single, unified projected image with up to 32 high-resolution video panels using NVIDIA Mosaic multi-display technology with bezel correction. Overlap, blend, and adjust an image across up to 16 curved displays or surfaces for a pixel-perfect result with NVIDIA\u2019s Warp and Blend SDK.\nFor when you need to go big, NVIDIA Quadro Sync lets you synchronize multiple Quadro or NVIDIA RTX desktop GPUs with displays or projects to create large-scale visualizations.\nGPUDirect for Video accelerates your workflow by avoiding unnecessary system memory copies and CPU overhead. Your data goes straight to graphics card memory with GPUDirect for Video.\nCreate a personal render farm with a high-density multi-GPU workstation. NVIDIA RTX GPUs feature a unique blower design that gives you maximum flexibility for the entire system design. and are datacenter-tested and certified, giving you the reassurance and reliability for rack-mounted workstation and server solutions.\nArnold Standalone render done in time of scene, time (seconds).\nV-Ray 5.0 Benchmark \u2013 CUDA \u2013 Vpaths Score.\nBlender Cycles Open Data CLI OPTIX Geomean (Score \u2013 Samples/Minute).\nPerformance may vary by system, application workflow, or scene. Tests run on 13th Gen Intel(R) Core(TM) i7-13700H. 64GB system memory, NVIDIA Driver 528.07 MSHybrid. Apple MacBook Pro 16\" M2 Max SoC (12-Core CPU 3.5GHz, 38-Core GPU). GPU TGP: RTX 5000: (150W), RTX 4000: (115W), RTX 3500, RTX 3000: (80W), RTX 2000: (35W).\nNever run out of graphics memory again. With up to 48GB of memory from the desktop, or 16GB from a laptop, edit and grade up to 8K high-resolution video in real-time with more layers, transitions, and effects.\nDo more with video using AI or Machine Learning like AI up-res, auto-color matching, auto-reframing, Z-depth map extraction from faces, and much more.\nManage and customize your workspace for specific tasks like video editing and color grading with nView Desktop Management Software.\nAccelerate your workflow by avoiding unnecessary system memory copies and CPU overhead. Copy data straight to graphics card memory with GPUDirect for Video.\nDaVinci Resolve dual encoder test H265 - 8K time (s).\nRedCine-X Pro Geomean (FPS).\nAdobe Premiere Pro total encode time (2 tests) Total Time (Seconds).\nCreate compelling photorealistic renderings faster with lifelike reflections, shadows, and lighting with ray-tracing acceleration.\nHarness the power of artificial intelligence with features like DLSS and AI-accelerated denoising to remain in the creative flow while quickly exploring different design options.\nWalk through large 3D models at lifelike scale in virtual reality to view designs from all angles and viewpoints.\nHitting memory limits has become a thing of the past with up to 48GB of GPU memory in desktop workstations, or up to 16GB of GPU memory from a laptop.\nHave the creative freedom to use multiple applications simultaneously, with large GPU memory that enables simultaneous usage between graphic design, photography and 3D applications like Adobe Photoshop, Substance Painter, Lightroom and Dimension.\nUse the power of AI to enhance image quality, add effects, edit faster, and even create 3D assets from 2D images.\nCreate realistic, ray-traced 3D assets from high-quality photos, bringing real-world materials and objects into the virtual world.\nAdobe Photoshop - Super Resolution \u2013 BatchTimeSave Total Time (Seconds).\nThe future of advertising is becoming more immersive than ever. Create hyper-realistic virtual and augmented realities using high-performance professional graphics cards in both desktop and mobile workstations.\nFrom digital signage to massive video walls and immersive domes capture imaginations with the largest, most engaging experiences. Leverage features like Mosaic multi-display, warp and blend, and Quadro Sync.\nIn the broadcast game, time is money. NVIDIA RTX graphics cards bring you the best in AI, on-air graphics, virtual sets and video editing, plus unrestricted video encoding sessions to ensure smooth operation when it matters most.\nFind the Perfect Professional RTX Studio Product for You\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/media-and-entertainment/#success-stories": "AI-Enabled Content Creation, Distribution, and Consumption\nNew technologies are transforming the media and entertainment industry\u2014 AI-accelerated production pipelines deliver higher-quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.\nFor decades, NVIDIA has helped create and deliver award-winning content, and now it\u2019s redefining the future of M&E with state-of-the-art AI, hardware, software platforms, and networking solutions.\nHear from innovators and creators who are using NVIDIA GPUs to deliver captivating cinematic experiences. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX\u2122 All Stars.\nDiscover the power of AI, generative AI, virtual production, cloud-based workflows, and immersive graphics revolutionizing content creation, delivery, and consumption.\nAccelerate production pipelines with AI and real-time technologies.\nThe world's top film and television studios use NVIDIA technologies to power the most advanced, visually rich feature films and TV shows ever made. Discover how NVIDIA AI, RTX graphics, and state-of-the-art hardware and software platforms help make box office record-breakers, hit TV shows, and Academy Award-winning pictures possible.\nSolutions for immersive real-time graphics, IP video, and AI.\nNVIDIA technologies are helping broadcasters revolutionize how content is created, managed, distributed, and consumed. The latest enterprise-class NVIDIA GPUs, combined with NVIDIA networking technologies, enable all-new workflows for live broadcast. Gain new creative capabilities and deliver incredible viewer experiences with AI solutions and next-generation infrastructure.\nBuild brands, engage customers, and deliver insights with AI.\nConsumer behaviors are changing rapidly with the proliferation of high-performance connected devices. Agencies and corporate in-house creative teams must innovate with dynamic, experiential, and branded content that captivates and engages audiences in new ways. With NVIDIA GPUs, real-time technologies, and artificial intelligence, advertisers and brand leaders can create immersive real-time experiences while gaining much deeper consumer insights across all platforms.\nReal-time graphics, AI, virtualization, and data analytics solutions.\nNVIDIA RTX enables gaming companies to create breathtaking, interactive worlds with performance that exceeds gamers\u2019 expectations. Increasingly, game developers are making full use of virtualized production pipelines, integrating real-time ray tracing, and leveraging AI for deeper customer insights.\nLearn from global leaders in media and entertainment about the impact of real-time graphics, AI, and high-performance networking.\nCourtesy of Sony Pictures Animation\nSony Pictures Animation developed FlixiVerse, an app built on Omniverse Enterprise, allowing 2D artists to accelerate creative workflows with more iterations and easier transitions into 3D environments. See how they leveraged OpenUSD and Nucleus\u2019 auto-updating capabilities to give their artists greater control in pre-production.\nHear from innovators and creators across the M&E industry who are using RTX solutions to deliver captivating cinematic experiences in film and television. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX All Stars.\nRegistration Required\nImage courtesy of WPP\nThe world\u2019s largest marketing services organization is the first to launch automotive marketing services on Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nImage courtesy of V\u016b\nFrom powering LED Volumes and artist workstations to enabling AI and Generative AI workflows, the NVIDIA RTX\u2122 5000 Ada Generation GPU gives V\u016b the power and reliability to unleash the full potential of creative content.\nImage courtesy of V\u016b\nBroadcasters can automatically generate videos with text and develop lifelike virtual humans with Hour One\u2019s solutions, powered by NVIDIA Technologies.\nThe sheer power provided by the new RTX 6000 Ada GPUs has had a massive impact on how we interact with Neural Radiance Fields\u2026 What NVIDIA and HP have done not only makes existing graphically demanding tasks even faster, but it also unlocks a new chapter in real-time workflows that was simply not possible until now.\n\u2014 Landis Fields, Real-Time Principal Creative, Industrial Light & Magic\nThe NVIDIA RTX 6000 Ada Generation GPU is one step ahead of our evolving real-time pipeline for live-action filmmakers. It's adding efficiency, ease, and, more importantly, creative power directly to filmmakers.\n\u2014 Rapha\u00ebl Goudin, Virtual Production Supervisor, Versatile Media Ltd.\nNVIDIA continues to deliver solutions that light the path forward for an industry in transition, easing the adoption of the latest standards, and bringing flexibility and scalability to the broadcast market.\nNew Omniverse platform updates, connections to Adobe Firefly, and Ada-Generation systems to accelerate interoperable 3D workflows and industrial digitalization.\n20th Century Studios\nThe Academy Award nominations are in\u2014and for the 15th year in a row\u2014NVIDIA technologies worked behind the scenes of every film nominated for Best Visual Effects.\nExplore a hub of SDKs, resources, and news for developers working in the Media and Entertainment industry.\nFeatured\nSee how NVIDIA and our partners are helping the industry accelerate their production pipelines, deliver higher quality content, enhance live entertainment, and optimize distribution and monetization.\nVideos\nDevelop custom 3D pipelines and simulate large-scale, physically accurate virtual worlds with NVIDIA Omniverse Enterprise.\nStreamline building a state-of-the-art session-based recommender pipeline with this new free hands-on lab.\nThis session will walk you through what Universal Scene Description (USD) is, how assets are constructed with it, and why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nHelp us inspire the next generation by joining the NVIDIA Partner Network (NPN).\nOur experts can help your business unlock its potential.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/energy/": "Deliver a reliable supply of lower-cost fuels and power, while optimizing energy efficiency.\nTo meet global demands, energy companies are turning to a software-defined approach to explore, produce, transport, and deliver lower-cost energy while pursuing net-zero emission goals. They\u2019re leveraging AI and high-performance computing (HPC) to reduce environmental impact from subsurface operations, automate manually intensive surface operations, and bring real-time intelligence to the grid edge.\nLearn how Shell used NVIDIA DGX\u2122 systems to determine salt boundaries in reservoir modeling, enable 4K iterative image reconstruction, test new designs for industrial plants, and drive advancements in sustainable new materials.\nSiemens Gamesa is optimizing their offshore wind farms for maximum power output at minimal cost using NVIDIA Omniverse\u2122 and NVIDIA Modulus. Find out how neural super-resolution accelerates simulation times from 40 days to 15 minutes.\nAccelerate reservoir simulation and seismic processing for fuel production.\nLearn how AI is accelerating reservoir simulation and seismic processing, enhancing pipeline monitoring, and protecting worker health and safety, while reducing emissions and environmental impact.\nBuild industrial and scientific digital twins for sustainability and safety.\nFind out how AI is being used to develop physically accurate industrial digital twins, scale renewable energy generation, simulate climate and weather, speed up computational fluid dynamics (CFD) workloads, and optimize industrial site efficiency.\nEnhance power generation, transmission, and distribution for grid resiliency.\nExplore the future of software-defined smart grids, including predictive maintenance of grid infrastructure, management of distributed energy resources, synthetic data generation of grid assets, outage scheduling, truck roll optimization, and utility contact center virtual assistants.\nLearn from industry leaders using AI to optimize processes, reduce risk, and trim costs.\nImage courtesy of BP.\nSee how BP achieved 35X runtime speedups by porting their production reverse time migration (RTM) code onto NVIDIA HGX\u2122 A100 and leveraging the cuFFT library.\n* Registration required.\nExplore how Chevron utilized NVIDIA IndeX\u00ae, a 3D volumetric interactive visualization SDK, in Microsoft Azure to streamline analysis of core samples\u2014in larger volumes and at higher resolution.\nStone Ridge Technology benchmarked their ECHELON reservoir simulation software on the NVIDIA Hopper GPU architecture, including the NVIDIA Grace Hopper Superchip, H100-NVL, and H100-PCIe. Learn how the company achieved up to 3.8x faster simulations with up to 25-million cell models.\nLearn how global energy companies such as Siemens Energy are building industrial digital twins to support predictive maintenance at power plants and how that could save the energy industry an estimated $1.7 billion a year.\nImage courtesy of Noteworthy AI.\nTake a look at FirstEnergy\u2019s onboard smart camera system\u2014developed by Noteworthy AI and powered by the NVIDIA\u00ae Jetson\u2122 edge AI platform\u2014which automatically monitors millions of utility poles and tens of millions of grid devices for maintenance.\nShell has ongoing work with NVIDIA: more realistic 3D reservoir models (e.g., dipping reservoir) for CO2 storage, layered geology with horizontal and vertical heterogeneity, computationally efficient Fourier neural operator (FNO)-based networks dealing with larger input datasets and providing acceptable predictions over longer time windows (hundreds of years), and the capability to build next-generation digital twin models of deep earth for climate change scenario (CCS) applications in real time with uncertainty assessment.\n\u2014 Pandu Devarakota, Principal Science Expert, Shell\nWe can examine the contribution of AI to the energy sector from three dimensions: energy forecasting, carbon capture, and predictive maintenance... AI algorithms are being used for energy forecasting, to predict energy demand, and to optimize economic value... AI can be used to reduce carbon emissions by analyzing data from multiple sources regarding weather, soil, and crop yield... to optimize our supply chain logistics and reduce our carbon footprint... AI can also help energy companies monitor the performance of their assets and equipment.\n\u2014 Nayef Otaibi, Vice President and Chief Digital Officer, Saudi Aramco\nWe will continue to collect data, not just on how our wind turbines operate, but also for weather forecasting, site planning, and other areas to optimize wind turbine sites. We're exploring augmented reality and extended reality as wind turbines are complicated machines with many types of failure modes. It's imperative to make sure the wind turbines operate safely and service technicians know how to do service repairs in the right way.\n\u2014 Lasse Lundberg Nowack, Vice President, Engineering Development Power Solutions, Vestas\nBy using synthetic data generation in NVIDIA Omniverse, our goal was to automatically create thousands of labeled photorealistic examples of various defects in grid assets. We are in the process of using real images and these synthetic images to train inspection models.\n\u2014 Ankush Agarwal, Director of Advanced Analytics, Exelon\nIn Oregon, we are experiencing the impacts of climate change firsthand and recognize the urgent need for innovation at the grid edge as we transition to a clean energy future. Investing in new technologies for the grid is a key strategy for PGE to achieve its climate goals and provide customers with clean, affordable, and resilient energy.\n\u2014 Ananth Sundaram, Senior Manager of Integrated Grid, Portland General Electric (PGE)\nSystems powered by NVIDIA A100 80GB Tensor Core GPUs demonstrate superb performance uplifts compared to CPU performance running SLB\u2019s INTERSECT high-resolution reservoir simulator.\nLearn how Shearwater achieved 10x speed-up of Reverse Time Migration (RTM) and Kirchhoff algorithms, powered by NVIDIA GPUs, to lower total power consumption for compute-intensive subsurface workloads, improve energy efficiency, and reduce operating costs for oil and gas companies.\nAclara will be the first company to embed Utilidata\u2019s distributed AI platform, Karman, in a smart meter to enable a connected grid that delivers clean and reliable energy. Built on a custom NVIDIA module that leverages AI, Karman captures robust, high-quality data to improve grid operations and manage distributed energy resources.\nUtilidata announced that Portland General Electric will pilot Utilidata\u2019s smart grid chip, a first-of-its-kind distributed AI platform powered by NVIDIA Jetson, in Oregon to support decarbonization goals.\nLearn about the AI and HPC hardware, software, and networking solutions for energy companies.\nThe NVIDIA Grace Hopper\u2122 Superchip is a breakthrough accelerated CPU designed from the ground up for giant-scale AI and HPC applications. The superchip will deliver up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world\u2019s most complex problems.\nThe latest iteration of NVIDIA DGX\u2122 systems and the foundation of NVIDIA DGX SuperPOD\u2122, DGX H100 is the AI powerhouse that\u2019s accelerated by the groundbreaking performance of the NVIDIA H100 Tensor Core GPU.\nNVIDIA DGX Cloud is a multi-node AI-training-as-a-service solution optimized for the unique demands of enterprise AI. It\u2019s a combined software and infrastructure solution for AI training that includes a full-stack developer suite, leadership-class infrastructure, and concierge support, allowing businesses to get started immediately with predictable, all-in-one pricing.\nWith NVIDIA AI Enterprise, energy companies can speed up development of use case applications, such as reservoir simulation, seismic processing, and predictive maintenance. Learn how to get free, short-term access to NVIDIA AI Enterprise in curated labs through NVIDIA LaunchPad.\nThe NVIDIA HPC SDK includes the proven compilers, libraries and software tools essential to maximizing developer productivity and the performance and portability of HPC modeling and simulation applications.\nNVIDIA Modulus is an open-source framework for building, training, and fine-tuning physics-informed machine learning (physics-ML) models with a simple Python interface. With Modulus, you can build models for enterprise-scale digital twin applications across multiple physics domains, from CFD to structural analysis to electromagnetics to climate science.\nNVIDIA Omniverse is an extensible, open platform built for 3D virtual collaboration and real-time physically accurate simulation. Omniverse combined with NVIDIA Modulus, a framework for developing physics machine learning neural network models, enables digital twins for wind farms, power plants, electric grids, and someday Earth itself.\nNVIDIA Jetson brings accelerated AI performance to the edge in a power-efficient and compact form factor. Together with the NVIDIA JetPack\u2122 SDK and NVIDIA Isaac\u2122 software for Robotics Operating System, these Jetson modules, including NVIDIA Jetson Orin Nano\u2122, support a full range of edge AI and robotics applications.\nNVIDIA NeMo\u2122, part of the NVIDIA AI platform, is an end-to-end, cloud-native enterprise framework for building, customizing, and deploying generative AI models with billions of parameters. The NeMo framework provides an accelerated workflow for training with 3D parallelism techniques, several customization techniques, and optimized at-scale inference of large-scale models for language and image applications.\nFeatured\nTo manage renewable energy at scale, NVIDIA and its ecosystem of partners are using AI to optimize solar and wind farms, simulate climate and weather, maintain power grids, advance carbon capture, and power fusion breakthroughs.\nVideos\nWebinars\nGain an understanding of the various building blocks of NVIDIA Modulus, the basics of physics-informed deep learning, and how the framework integrates with the overall Omniverse platform.\nLearn how to use NVIDIA Base Command\u2122 Platform to accelerate your containerized AI training workloads, discover the tools necessary to build an AI center of excellence, and get the basics of working with, modifying, and running Docker containers from NVIDIA NGC\u2122.\nLearn how to use Jupyter iPython notebooks on a Jetson Nano Developer Kit to build a deep learning classification project with computer vision models. This easy-to-use, powerful computer runs multiple neural networks in parallel.\nMeet NVIDIA Inception, the free program designed to help startups evolve faster through access to cutting-edge technology and NVIDIA experts, connections with venture capitalists, and co-marketing support to raise visibility.\nConnect with millions of like-minded developers in the NVIDIA Developer Program to do your life\u2019s work. Gain access to free containers, pretrained models, SDKs, technical documentation, and peer and domain expert help.\nExpand and support your portfolio with NVIDIA\u2019s Venture Capital (VC) Alliance, an initiative between NVIDIA and investors around the world who are focused on startups building cutting-edge technology with AI, data science, and HPC.\nOur solutions for the energy industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.\nChat with NVIDIA energy experts to help solve your business challenges.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/studio/compare-gpus/#subscribe-creators": "Explore the full range of high-performance GPUs that will help bring your creative visions to life.\nGraphics Memory\n3D Animation/ Motion Graphics\nVideo Editing\nPhotography/ Graphic Design\nBroadcasting\nGaming\nSTEM\nRay Tracing Cores\nAI & Tensor Cores\nEncoders\nAdvanced Multi-App Work\nSoftware Certification\nEnterprise Support\nRay Tracing Cores: for accurate lighting, shadows, reflections and higher quality rendering in less time. AI & Tensor Cores: for accelerated AI operations like up-resing, photo enhancements, color matching, face tagging, and style transfer. Advanced Multi-App Workflows: for demanding workflows typically involving multiple creative apps, each requiring their own set of dedicated system resources. Software Certification: software vendors who develop creative applications test and certify specific hardware for optimal and consistent operation. Enterprise Support: dedicated features and support for enterprise users. Graphics Memory: fast memory dedicated to graphics intensive tasks. More graphics memory means larger, more complex tasks can be completed by the GPU.\nGraphics Memory\nExplore the range of high-performance products compatible with NVIDIA Studio technology.\nCreative tutorials, artist showcases, contests, and exclusive offers.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/omniverse/solutions/3d-design-collaboration/#nav-lvl1-tab2": "There are two methods to get started with developing on NVIDIA Omniverse:\nPlatform SDK\nFor developers looking to build an application from scratch, NVIDIA offers Omniverse Kit SDK and free sample applications that can be easily customized and extended.\nDownload the platform SDK here.\nCloud APIs\nFor developers looking to take only the pieces they need, NVIDIA offers Omniverse core technologies that are exposed as simple APIs that developers can self-host on any cloud, multi-cloud, or virtual private cloud, or, consume as a managed service from NVIDIA Omniverse Cloud on Microsoft Azure.\nOmniverse core APIs give developers the ability to integrate USD data ingest, and RTX-enabled output.\nApply for early access to APIs.",
    "https://www.nvidia.com/en-us/data-center/products/ovx/#reso": "NVIDIA Omniverse\u2122 makes it possible to connect, develop, and operate the next wave of industrial digitalization applications. With powerful RTX graphics and AI capabilities, OVX delivers exceptional performance for Universal Scene Description (OpenUSD)-based 3D and simulation workflows built on Omniverse.",
    "https://www.nvidia.com/en-us/design-visualization/resources/rtx-all-stars-ebook/#nav-lvl1-tab4-lvl2-tab8": "Ebook RTX All Stars Get inspired by the artists, creators, and designers who are using NVIDIA RTX to transform workflows and bring their best work to life. Download Now",
    "https://www.nvidia.com/en-us/design-visualization/resources/rtx-all-stars-ebook/#form": "Ebook RTX All Stars Get inspired by the artists, creators, and designers who are using NVIDIA RTX to transform workflows and bring their best work to life. Download Now",
    "https://www.nvidia.com/en-us/industries/media-and-entertainment/#introduction": "AI-Enabled Content Creation, Distribution, and Consumption\nNew technologies are transforming the media and entertainment industry\u2014 AI-accelerated production pipelines deliver higher-quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.\nFor decades, NVIDIA has helped create and deliver award-winning content, and now it\u2019s redefining the future of M&E with state-of-the-art AI, hardware, software platforms, and networking solutions.\nHear from innovators and creators who are using NVIDIA GPUs to deliver captivating cinematic experiences. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX\u2122 All Stars.\nDiscover the power of AI, generative AI, virtual production, cloud-based workflows, and immersive graphics revolutionizing content creation, delivery, and consumption.\nAccelerate production pipelines with AI and real-time technologies.\nThe world's top film and television studios use NVIDIA technologies to power the most advanced, visually rich feature films and TV shows ever made. Discover how NVIDIA AI, RTX graphics, and state-of-the-art hardware and software platforms help make box office record-breakers, hit TV shows, and Academy Award-winning pictures possible.\nSolutions for immersive real-time graphics, IP video, and AI.\nNVIDIA technologies are helping broadcasters revolutionize how content is created, managed, distributed, and consumed. The latest enterprise-class NVIDIA GPUs, combined with NVIDIA networking technologies, enable all-new workflows for live broadcast. Gain new creative capabilities and deliver incredible viewer experiences with AI solutions and next-generation infrastructure.\nBuild brands, engage customers, and deliver insights with AI.\nConsumer behaviors are changing rapidly with the proliferation of high-performance connected devices. Agencies and corporate in-house creative teams must innovate with dynamic, experiential, and branded content that captivates and engages audiences in new ways. With NVIDIA GPUs, real-time technologies, and artificial intelligence, advertisers and brand leaders can create immersive real-time experiences while gaining much deeper consumer insights across all platforms.\nReal-time graphics, AI, virtualization, and data analytics solutions.\nNVIDIA RTX enables gaming companies to create breathtaking, interactive worlds with performance that exceeds gamers\u2019 expectations. Increasingly, game developers are making full use of virtualized production pipelines, integrating real-time ray tracing, and leveraging AI for deeper customer insights.\nLearn from global leaders in media and entertainment about the impact of real-time graphics, AI, and high-performance networking.\nCourtesy of Sony Pictures Animation\nSony Pictures Animation developed FlixiVerse, an app built on Omniverse Enterprise, allowing 2D artists to accelerate creative workflows with more iterations and easier transitions into 3D environments. See how they leveraged OpenUSD and Nucleus\u2019 auto-updating capabilities to give their artists greater control in pre-production.\nHear from innovators and creators across the M&E industry who are using RTX solutions to deliver captivating cinematic experiences in film and television. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX All Stars.\nRegistration Required\nImage courtesy of WPP\nThe world\u2019s largest marketing services organization is the first to launch automotive marketing services on Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nImage courtesy of V\u016b\nFrom powering LED Volumes and artist workstations to enabling AI and Generative AI workflows, the NVIDIA RTX\u2122 5000 Ada Generation GPU gives V\u016b the power and reliability to unleash the full potential of creative content.\nImage courtesy of V\u016b\nBroadcasters can automatically generate videos with text and develop lifelike virtual humans with Hour One\u2019s solutions, powered by NVIDIA Technologies.\nThe sheer power provided by the new RTX 6000 Ada GPUs has had a massive impact on how we interact with Neural Radiance Fields\u2026 What NVIDIA and HP have done not only makes existing graphically demanding tasks even faster, but it also unlocks a new chapter in real-time workflows that was simply not possible until now.\n\u2014 Landis Fields, Real-Time Principal Creative, Industrial Light & Magic\nThe NVIDIA RTX 6000 Ada Generation GPU is one step ahead of our evolving real-time pipeline for live-action filmmakers. It's adding efficiency, ease, and, more importantly, creative power directly to filmmakers.\n\u2014 Rapha\u00ebl Goudin, Virtual Production Supervisor, Versatile Media Ltd.\nNVIDIA continues to deliver solutions that light the path forward for an industry in transition, easing the adoption of the latest standards, and bringing flexibility and scalability to the broadcast market.\nNew Omniverse platform updates, connections to Adobe Firefly, and Ada-Generation systems to accelerate interoperable 3D workflows and industrial digitalization.\n20th Century Studios\nThe Academy Award nominations are in\u2014and for the 15th year in a row\u2014NVIDIA technologies worked behind the scenes of every film nominated for Best Visual Effects.\nExplore a hub of SDKs, resources, and news for developers working in the Media and Entertainment industry.\nFeatured\nSee how NVIDIA and our partners are helping the industry accelerate their production pipelines, deliver higher quality content, enhance live entertainment, and optimize distribution and monetization.\nVideos\nDevelop custom 3D pipelines and simulate large-scale, physically accurate virtual worlds with NVIDIA Omniverse Enterprise.\nStreamline building a state-of-the-art session-based recommender pipeline with this new free hands-on lab.\nThis session will walk you through what Universal Scene Description (USD) is, how assets are constructed with it, and why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nHelp us inspire the next generation by joining the NVIDIA Partner Network (NPN).\nOur experts can help your business unlock its potential.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/studio/professional-workstations/#nav-lvl1-tab4-lvl2-tab6": "Whether it's design, animation, video editing, or VFX \u2013 as an artist you are defined by your creativity and an unapologetic obsession for your craft. NVIDIA Studio desktop and mobile workstations are engineered to let you focus on your ideas, not your system. Packing the ultimate in performance, massive memory, and exclusive professional features, you have everything you need to deliver your finest work yet.\nWhen it comes to mission-critical work, performance is nothing without reliability. NVIDIA RTX workstations excel in both areas thanks to their meticulous design and innovation at every level. Expect supercharged performance from pro-grade graphics cards, CPUs, and ECC RAM while software application certifications, system optimizers, and enterprise-grade support provide you the confidence to work unhindered.\nNVIDIA Studio workstations feature NVIDIA RTX GPUs for professional graphics and compute performance. Thanks to up to 16GB of ECC memory in mobile systems and up to 48GB of ECC memory in a desktop, even the most complex projects are handled with ease. Plus, with NVIDIA RT Cores and Tensor Cores for real-time ray tracing and AI-acceleration, you can render photorealistic images, edit 8K video, color grade, or produce your next live broadcast spectacularly fast.\nWorking across multiple design apps simultaneously is an essential part of many creative workflows, which is why massive memory capacity matters. NVIDIA RTX delivers enough ultra-fast graphics memory and power letting you load huge project files, run all your creative apps at the same time, and still enjoy a smooth interactive design experience. No more worrying about performance and system stability, even the largest projects and the tightest deadlines are delivered effortlessly and stress-free.\nRender large scene files with ease in the application viewport with RTX-accelerated rendering and AI-denoising. Enhance performance and image quality with DLSS in select applications.\nBuild entire worlds in 3D with high-resolution textures and geometry with massive graphics memory capacities. Deliver complex renders free of errors with ECC memory and large GPU framebuffers\u2014up to 48GB from a desktop or server or up to 16GB from a laptop.\nCapture imaginations with large scale visualizations. Create a single, unified projected image with up to 32 high-resolution video panels using NVIDIA Mosaic multi-display technology with bezel correction. Overlap, blend, and adjust an image across up to 16 curved displays or surfaces for a pixel-perfect result with NVIDIA\u2019s Warp and Blend SDK.\nFor when you need to go big, NVIDIA Quadro Sync lets you synchronize multiple Quadro or NVIDIA RTX desktop GPUs with displays or projects to create large-scale visualizations.\nGPUDirect for Video accelerates your workflow by avoiding unnecessary system memory copies and CPU overhead. Your data goes straight to graphics card memory with GPUDirect for Video.\nCreate a personal render farm with a high-density multi-GPU workstation. NVIDIA RTX GPUs feature a unique blower design that gives you maximum flexibility for the entire system design. and are datacenter-tested and certified, giving you the reassurance and reliability for rack-mounted workstation and server solutions.\nArnold Standalone render done in time of scene, time (seconds).\nV-Ray 5.0 Benchmark \u2013 CUDA \u2013 Vpaths Score.\nBlender Cycles Open Data CLI OPTIX Geomean (Score \u2013 Samples/Minute).\nPerformance may vary by system, application workflow, or scene. Tests run on 13th Gen Intel(R) Core(TM) i7-13700H. 64GB system memory, NVIDIA Driver 528.07 MSHybrid. Apple MacBook Pro 16\" M2 Max SoC (12-Core CPU 3.5GHz, 38-Core GPU). GPU TGP: RTX 5000: (150W), RTX 4000: (115W), RTX 3500, RTX 3000: (80W), RTX 2000: (35W).\nNever run out of graphics memory again. With up to 48GB of memory from the desktop, or 16GB from a laptop, edit and grade up to 8K high-resolution video in real-time with more layers, transitions, and effects.\nDo more with video using AI or Machine Learning like AI up-res, auto-color matching, auto-reframing, Z-depth map extraction from faces, and much more.\nManage and customize your workspace for specific tasks like video editing and color grading with nView Desktop Management Software.\nAccelerate your workflow by avoiding unnecessary system memory copies and CPU overhead. Copy data straight to graphics card memory with GPUDirect for Video.\nDaVinci Resolve dual encoder test H265 - 8K time (s).\nRedCine-X Pro Geomean (FPS).\nAdobe Premiere Pro total encode time (2 tests) Total Time (Seconds).\nCreate compelling photorealistic renderings faster with lifelike reflections, shadows, and lighting with ray-tracing acceleration.\nHarness the power of artificial intelligence with features like DLSS and AI-accelerated denoising to remain in the creative flow while quickly exploring different design options.\nWalk through large 3D models at lifelike scale in virtual reality to view designs from all angles and viewpoints.\nHitting memory limits has become a thing of the past with up to 48GB of GPU memory in desktop workstations, or up to 16GB of GPU memory from a laptop.\nHave the creative freedom to use multiple applications simultaneously, with large GPU memory that enables simultaneous usage between graphic design, photography and 3D applications like Adobe Photoshop, Substance Painter, Lightroom and Dimension.\nUse the power of AI to enhance image quality, add effects, edit faster, and even create 3D assets from 2D images.\nCreate realistic, ray-traced 3D assets from high-quality photos, bringing real-world materials and objects into the virtual world.\nAdobe Photoshop - Super Resolution \u2013 BatchTimeSave Total Time (Seconds).\nThe future of advertising is becoming more immersive than ever. Create hyper-realistic virtual and augmented realities using high-performance professional graphics cards in both desktop and mobile workstations.\nFrom digital signage to massive video walls and immersive domes capture imaginations with the largest, most engaging experiences. Leverage features like Mosaic multi-display, warp and blend, and Quadro Sync.\nIn the broadcast game, time is money. NVIDIA RTX graphics cards bring you the best in AI, on-air graphics, virtual sets and video editing, plus unrestricted video encoding sessions to ensure smooth operation when it matters most.\nFind the Perfect Professional RTX Studio Product for You\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/self-driving-cars/partners/pony-ai/": "Pony.ai is a leading global autonomous driving technology company that develops intelligent systems for safer, more efficient transportation. Its platform leverages NVIDIA DRIVE Orin\u2122 for low latency, high performance, and high reliability. This software-defined architecture helps Pony.ai achieve scalable deployment across self-driving trucks and robotaxis, and accelerate its future of a robust, mass-production solution for AVs.\nThe need for redundant and diverse sensors and computing systems makes it challenging to design and optimize the processing pipeline. In this post, explore the evolution of Pony.ai\u2019s on-vehicle sensor data processing pipeline.\nLearn about the high-performance, energy-efficient AI compute platform to be integrated into the fleet of Toyota Sienna level 4 autonomous vehicles.\nSee the technological milestones achieved with road testing in China, including Pony.ai\u2019s soft launch of China's first-ever autonomous vehicle robotaxi service.\nExplore the GTC 2022 Session with Ke Li, Software Engineer, Pony.ai and Petr Shepelev, Senior Systems Software Engineer, NVIDIA\nNVIDIA automotive solutions are available to automakers, tier 1 suppliers, startups, and research institutions working on the future of transportation.\nThis form is for automotive inquires only. For other inquiries, please click here.",
    "https://www.nvidia.com/object/support.html": "NVIDIA\u2019s support services are designed to meet the needs of both the consumer and enterprise customer, with multiple options to help ensure an exceptional customer experience.\nPlease select the appropriate option below to learn more.\nFind support for products such as:\nFind support for enterprise-level products such as:",
    "https://www.nvidia.com/en-us/networking/ethernet-adapters/#nav-lvl1-tab1": "Providing up to four ports of connectivity and 400Gb/s of throughput, the NVIDIA ConnectX-7 NIC provides hardware-accelerated networking, storage, security, and manageability services at data center scale for cloud, telecommunications, AI, and enterprise workloads. ConnectX-7 empowers agile and high-performance networking solutions with features such as Accelerated Switching and Packet Processing (ASAP2), advanced RoCE, GPUDirect Storage, and in-line hardware acceleration for Transport Layer Security (TLS), IP Security (IPsec), and MAC Security (MACsec) encryption and decryption. ConnectX-7 enables organizations to meet their current and future networking needs in both high-bandwidth and high-density environments.",
    "https://www.nvidia.com/en-us/design-visualization/solutions/cloud-xr/#page-content": "Project Aurora simplifies deployment of on-premises XR applications at lab or enterprise scale. Customers are supported by a flexible ecosystem of OEMs, value-added resellers, software integration, and distribution partners to create and deliver custom, certified builds. With the collaboration of NVIDIA Professional Services, the delivery, set up, and start up of these builds is fully managed for the customer.",
    "https://www.nvidia.com/en-us/geforce-now/": "Your fast pass to 24 hours of GeForce RTX-powered cloud gaming. Experience all premium member benefits, no membership required.\nGeForce NOW connects to digital PC game stores so you can stream the games you already own. Plus, game purchases you make on your personal store accounts will always stay with you.\nGeForce NOW instantly transforms your laptop, desktop, Mac, TV, Android device, iPhone, or iPad into the powerful PC gaming rig you\u2019ve always dreamed of.\nOur premium membership plans offer you fastest access to the highest performance GeForce RTX rigs for a high-resolution, ultra-low latency, and competitive experience.\nSay goodbye to large game downloads, updates, and patches. All GeForce NOW games are always up to date, so you can spend less time waiting and more time gaming.\nStream directly from GeForce RTX GPUs.\nExperience incredibly realistic effects.\nJump straight to the front of the queue.\nPlay for hours without interruption.\nShadows, textures, and effects\u2014all maxed.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/data-center/tensor-cores/": "Advanced HPC\nHPC is a fundamental pillar of modern science. To unlock next-generation discoveries, scientists use simulations to better understand complex molecules for drug discovery, physics for potential sources of energy, and atmospheric data to better predict and prepare for extreme weather patterns. NVIDIA Tensor Cores offer a full range of precisions, including FP64, to accelerate scientific computing with the highest accuracy needed.\nThe HPC SDK provides the essential compilers, libraries, and tools for developing HPC applications for the NVIDIA platform.",
    "https://www.nvidia.com/Download/driverResults.aspx/190616/en-us/": "NVIDIA Studio Drivers provide artists, creators, and 3D developers the best performance and reliability when working with creative applications. To achieve the highest level of reliability, Studio Drivers undergo extensive testing against multi-app creator workflows and multiple revisions of the top creative applications from Adobe to Autodesk and beyond.\nApplications The June NVIDIA Studio Driver provides optimal support for the latest new creative applications including Blender 3.2, BorisFX Sapphire release 2022.5 and Topaz Denoise AI 3.7.0.\nLearn more about these new releases in our June Studio Blog here.\nGeForce RTX 30 Series:GeForce RTX 3090 Ti, GeForce RTX 3090, GeForce RTX 3080 Ti, GeForce RTX 3080, GeForce RTX 3070 Ti, GeForce RTX 3070, GeForce RTX 3060 Ti, GeForce RTX 3060, GeForce RTX 3050\nGeForce RTX 20 Series:GeForce RTX 2080 Ti, GeForce RTX 2080 SUPER, GeForce RTX 2080, GeForce RTX 2070 SUPER, GeForce RTX 2070, GeForce RTX 2060 SUPER, GeForce RTX 2060\nGeForce 16 Series:GeForce GTX 1660 SUPER, GeForce GTX 1650 SUPER, GeForce GTX 1660 Ti, GeForce GTX 1660, GeForce GTX 1650, GeForce GTX 1630\nGeForce 10 Series:GeForce GTX 1080 Ti, GeForce GTX 1080, GeForce GTX 1070 Ti, GeForce GTX 1070, GeForce GTX 1060, GeForce GTX 1050 Ti, GeForce GTX 1050\nNVIDIA TITAN Series:NVIDIA TITAN RTX, NVIDIA TITAN V, NVIDIA TITAN Xp, NVIDIA TITAN X (Pascal)",
    "https://www.nvidia.com/en-us/self-driving-cars/software/#nav-lvl1-tab1": "NVIDIA DriveWorks provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plug-ins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework. It\u2019s modular, open, and designed to be compliant with automotive industry software standards.",
    "https://www.nvidia.com/en-us/design-visualization/resources/rtx-all-stars-ebook/#nav-lvl1-tab1": "Ebook RTX All Stars Get inspired by the artists, creators, and designers who are using NVIDIA RTX to transform workflows and bring their best work to life. Download Now",
    "https://www.nvidia.com/en-us/design-visualization/solutions/nvidia-mosaic-technology/": "Whether you want to see your work across multiple displays or project your ideas in 4K, you can with NVIDIA Mosaic\u2122 multi-display technology. With NVIDIA Mosaic, you can easily span any application across up to 16 high-resolution panels or projectors from a single system, conveniently treating the multiple displays as a single desktop, without application software changes or visual artifacts.\nNVIDIA RTX and NVIDIA Quadro professional visualization products deliver the power of Mosaic technology, making it easy to configure a multi-display solution that expands your view.",
    "https://www.nvidia.com/en-us/design-visualization/solutions/cloud-xr/#nav-lvl1-tab3": "Project Aurora simplifies deployment of on-premises XR applications at lab or enterprise scale. Customers are supported by a flexible ecosystem of OEMs, value-added resellers, software integration, and distribution partners to create and deliver custom, certified builds. With the collaboration of NVIDIA Professional Services, the delivery, set up, and start up of these builds is fully managed for the customer.",
    "https://www.nvidia.com/en-us/industries/telecommunications/ai-factories/": "Protecting data sovereignty with secure AI infrastructure for governments, enterprises, and startups.\nTelecom operators are perfectly positioned to expand their data centers with accelerated computing infrastructure to support sovereign AI models and manufacture intelligence. This new class of data centers, known as AI factories, enhances AI capabilities for local governments, enterprises, and startups. And it allows nations to utilize telecom operators to host their sovereign AI infrastructure for enhanced security, performance, and fine-tuning with local language and cultural standards. NVIDIA is accelerating the development and deployment of AI factories around the world including France, India, Italy, Japan, Singapore, and Switzerland.\nLeading telecom companies Indosat, Singtel, and Telconet are working with NVIDIA to become sovereign \"AI factories\" for governments, enterprises, and startups\u2014enabling them to build and deploy generative AI applications on high-performance, secure infrastructure.\nProvide secure infrastructure for regional AI model development and deployment.\nTelecom operators can use their distributed regional data centers (RDCs) as accelerated computing infrastructure to build, fine-tune, and deploy sovereign AI models. This allows AI models to be aligned with national security interests, reduces inference costs by deploying AI applications to in-region users, and improves energy efficiency of generative AI by using existing compute infrastructure.\nOffer new revenue-generating services at the network edge.\nThe telecoms industry is expanding beyond network connectivity to offer AI-powered applications at the edge. Telcos can leverage the expertise of NVIDIA\u2019s ecosystem of independent software providers to deliver innovative 5G applications, including intelligent video analytics for autonomous shopping, smart traffic monitoring to reduce urban congestion, and immersive 5G extended reality (XR) experiences.\nSingtel and NVIDIA launched a new initiative to provide robust AI infrastructure and cloud services in Singapore and across Asia. This collaboration supports the Singapore government's updated National AI Strategy 2.0 to drive innovation and create new value through AI.\nSwisscom and NVIDIA will build full-stack generative AI supercomputers to establish a trusted AI factory for Swiss customers. Swisscom's secure, high-performance infrastructure enables government, enterprises, and startups to build, host, and deploy sovereign AI.\nNVIDIA is working with Scaleway, a subsidiary of French telecommunications provider iliad Group, to expand access to sovereign accelerated computing in the EU, enabling companies to deploy AI applications and scale up faster.\nNVIDIA and the Tata Group are collaborating to deliver AI computing infrastructure and platforms for developing AI solutions. The collaboration will bring advanced AI capabilities within reach of thousands of organizations, businesses, and AI researchers and hundreds of startups in India.\nNVIDIA and Reliance Industries announced a collaboration to develop India\u2019s own foundation large language model trained on the nation\u2019s diverse languages and tailored for generative AI applications to serve the world\u2019s most populous nation.\nIf telcos start converting network exchanges into compute locations\u2014colocating GPUs and compute at the exchanges\u2014that becomes a goldmine for telcos to enable latency-sensitive AI use cases, such as large language models\u2026 Telcos, with their ownership of server networks and fixed networks, can ensure secure transit of data from one source to the other destination. This plays a critical role in governments adopting AI applications at country scale.\n\u2014 Manoj Prasanna Kumar, Head \u2013 Enterprise Platforms, Singapore Telecommunications Limited (Singtel)\nEveryone talks about generative AI, but the gap between expectations and reality is tremendous. A customer must be sure what happens with its data, where it happens, and how it happens. Switzerland, with its many multinational organizations, needs trusted and unique sovereign building blocks for AI. That\u2019s where we step in. We\u2019re developing it together in a reliable and secure manner, with a distinct Swiss flavor, hand in hand with our collaborator partner, NVIDIA.\n\u2014 Christoph Aeschlimann, CEO, Swisscom\nAt Jio, we\u2019re committed to fueling India\u2019s technology renaissance by democratizing access to cutting-edge technologies, and our collaboration with NVIDIA is a significant step in this direction. Together, we will develop a state-of-the-art AI cloud infrastructure that\u2019s secure, sustainable, and deeply relevant across India, accelerating the nation\u2019s journey toward becoming an AI powerhouse.\n\u2014 Mukesh Ambani, Chairman and Managing Director, Reliance Industries\nOur collaboration with NVIDIA will help our infrastructure achieve a significantly higher performance with the utilization of AI, including optimization of the RAN. We expect it can also help us reduce energy consumption and create a network of interconnected data centers that can be used to share resources and host a range of generative AI applications.\n\u2014 Junichi Miyakawa, President and CEO, SoftBank Corp.\nLearn about accelerated computing systems, a full-stack AI platform, and the NVIDIA Partner Network.\nNVIDIA accelerated computing offers systems that address different AI factory provider\u2019s needs. NVIDIA DGX SuperPOD\u2122 is a turnkey NVIDIA solution for enterprises that want to adopt AI quickly and develop internal use cases. NVIDIA HGX\u2122 and NVIDIA GH200 Grace Hopper Superchip systems enable service providers, including telecom operators, to build large multi-tenant AI factory infrastructure with NVIDIA-certified OEMs, ODMs, and partners.\nThe NVIDIA AI platform powers end-to-end AI workflows, from the data science pipeline to development and deployment of production generative AI. NVIDIA NeMo\u2122 lets developers build custom large language models (LLMs) from scratch. NVIDIA AI Foundation models enable AI cloud services to quickly customize generative AI. NVIDIA LaunchPad offers hands-on labs to get AI practitioners and IT teams quickly started. And NGC\u2122 provides a catalog of GPU-accelerated models and SDKs to infuse AI into applications. NVIDIA AI Factory partners can use this AI platform to create additional services.\nThe NPN ecosystem is composed of NVIDIA experts who have the knowledge and skills that can help customers solve their most challenging problems and accelerate their business with NVIDIA solutions. The NPN is structured around partner types and competencies, making it possible to find the perfect NVIDIA partners to address current business needs and achieve success in today's ever-changing market.\nThe NVIDIA HGX AI supercomputing platform brings together the full power of NVIDIA GPUs, NVIDIA NVLink\u2122, NVIDIA networking, and fully optimized AI and high-performance computing (HPC) software stacks to provide the highest application performance and drive the fastest time to insights. HGX enables telecom operators to build secure, high-performance AI factory infrastructure.\nNVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of generative AI applications. This includes NeMo for building, customizing, and deploying generative AI models anywhere. NeMo consists of training and inferencing frameworks, guardrailing toolkits, data curation tools, and pretrained models, offering enterprises an easy, cost-effective, and fast way to adopt generative AI.\nAs the most advanced platform for generative AI, NVIDIA AI meets enterprise application needs at every layer of the stack--including accelerated computing, essential AI software, pre-trained models, and AI foundries. With NVIDIA AI, enterprises can build, customize, and deploy generative AI models for any application, anywhere.\nJoin our free NVIDIA Developer Program to access the 600+ SDKs, AI models, free training, community forums, tech blogs, and technical resources that can accelerate your work and advance your skills. Build on your existing technical knowledge or learn a new technology by taking advantage of a free self-paced course.\nOur expert-led courses and workshops provide learners with the knowledge and hands-on experience necessary to unlock the full potential of NVIDIA solutions. NVIDIA Training offers customized training plans designed to bridge technical skills gaps and provide relevant, timely, and cost-effective solutions for an organization's growth and development.\nNVIDIA Inception provides startups with access to the latest developer resources, preferred pricing on NVIDIA software and hardware, and exposure to the venture capital community. The program is free and available for tech startups of all stages.\nOur experts can help your business unlock potential and unleash innovation.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/": "State of AI in Financial Services: 2024 Trends\nDive into the data compiled from a survey of over 400 financial services professionals\u2014including executives, data scientists, developers, engineers, and IT specialists\u2014from around the world. This year\u2019s results reveal the trends, challenges, and opportunities that define the state of AI in financial services in 2024.",
    "https://www.nvidia.com/en-us/geforce/gaming-laptops/max-q-technologies/": "CPU power efficiency is critical for maximizing performance, and on laptops, power is shared between the CPU and GPU. Max-Q\u2019s CPU Optimizer optimizes this power using a low-level framework, letting the GPU driver optimize next-gen CPUs\u2019 performance, temperature, and power.\nPairing this new framework with CPU optimizations like deep power states, improved work dispatch, and driver thread synchronization significantly improves CPU efficiency\u2014and the power saved is transferred to the GPU, giving it more performance.",
    "https://www.nvidia.com/en-us/networking/infiniband-switching/#nav-lvl1-tab4-lvl2-tab2": "Complex workloads demand ultra-fast processing of high-resolution simulations, extreme-size datasets, and highly parallelized algorithms. As these computing requirements continue to grow, NVIDIA Quantum InfiniBand\u2014the world\u2019s only fully offloadable, In-Network Computing platform\u2014provides the dramatic leap in performance needed to achieve unmatched data center performance with less cost and complexity.",
    "https://www.nvidia.com/en-us/omniverse/usd/": "Universal Scene Description (OpenUSD) is more than just a file format. It\u2019s an open and extensible ecosystem for describing, composing, simulating, and collaborating within 3D worlds.\nOriginally invented by Pixar Animation Studio, OpenUSD encompasses a collection of fundamental tools and capabilities that accelerate workflows, teams, and projects, whether you\u2019re creating assets and environments for large-scale, AI-enabled virtual worlds or building the tools that will make these worlds possible.",
    "https://www.nvidia.com/en-us/networking/multi-host/": "Eliminate Performance Bottlenecks\nNVIDIA\u00ae Mellanox\u00ae Multi-Host technology enables next generation Cloud, Web 2.0 and high-performance data centers to design and build new scale-out heterogeneous compute and storage racks with direct connectivity between multiple hosts and the centralized network controller. This enables direct data access with the lowest latency to significantly improve densities and maximizes data transfer rates.\nNVIDIA\u2019s Multi-Host technology provides the ability to allow multiple compute or storage hosts to connect into a single interconnect adapter, by separating the adapter PCIe bus into several independent interfaces. Each interface connects to a separate host CPU\u2014with no performance degradation and improves operational agility and efficiency.\nImage courtesy of Facebook: Yosemite V3 multi-host server\nThe ConnectX-6 Dx SmartNIC adds significant improvements to NVIDIA Multi-Host applications by offering advanced QoS features that ensure complete isolation among the multiple hosts connected to the NIC, and by achieving superior fairness among the hosts. ConnectX-6 Dx is equipped with a large shared ingress buffer designed to hold bursty traffic when the incoming traffic rate exceeds the rate of traffic that can be absorbed by the host. The shared buffer configuration allows a single flow to consume the entire buffer space when no competition for buffer usage exists. When multiple flows consume the shared ingress buffer, the buffer is allocated in a manner that ensures that each host and each priority within the hosts are served in a fair manner.\nMulti-Host enables direct connectivity from multiple hosts to a single network controller. Allowing flexible and heterogeneous data center design with direct access to data while reducing capital and operating expenses.\nMulti-Host technology allows for different CPU architectures (x86, Power, ARM, etc.) and each host to be kept completely independent from the others. Hosts sharing the same network interface save on switch ports, cables, real estate and power.\nMulti-Host technology allows direct connectivity from multiple hosts to the network, enabling direct data access which lowers latency and overcomes performance bottlenecks to maximize data processing and transfer rates.\nConnectX Ethernet Adapter Card Brochure for OCP\nMulti-Host Evaluation Kit\nMulti-Host Evaluation Kit User Manual\nExternally Connected Multi-Host Solution\nConnectX-6 Dx Product Brief\nConnectX-6 VPI IC Product Brief\nConnectX-5 VPI Socket Direct Product Brief\nConnectX-5 VPI IC Product Brief\nConnectX-4 Lx for OCP Product Brief\nMaximizing Server Performance with NVIDIA Socket Direct Adapters\nDUG's Massive Cloud Service\nWe're here to help you build the most efficient, high performance network.",
    "https://www.nvidia.com/en-us/geforce/rtx-remix/#nav-lvl1-tab4-lvl2-tab1": "Create stunning RTX remasters of classic games. Built on NVIDIA Omniverse, RTX Remix allows modders to easily capture game assets, automatically enhance materials with generative AI tools, and quickly create stunning RTX remasters with full ray tracing and DLSS 3.5 with Ray Reconstruction.\nThe RTX Remix app is your central UI for creating RTX mods of classic games. Easily import game captures, enhance assets, relight scenes with path-traced lighting, and see updates live in the RTX Remix viewport.\nRTX Remix is built on NVIDIA Omniverse\u2122, a hub to streamline 3D workflows, allowing you to move assets quickly between RTX Remix and popular 3D tools like Blender and Adobe Substance via the industry-standard Universal Scene Description (OpenUSD) framework.\nRTX Remix\u2019s generative AI texture tools analyze low-resolution textures from classic games, generate physically accurate materials\u2014including normal and roughness maps\u2014and upscale the resolution by up to 4X.\nThe RTX Remix runtime dynamically replaces original assets with modded assets at playback while injecting RTX technologies including path tracing, DLSS 3 and Reflex. Quickly tune mods in real time with the in-game overlay and capture assets from the game via the RTX Remix creator app. The RTX Remix runtime is open-sourced on GitHub for the modding community to contribute to.\nDownload and install NVIDIA Omniverse with RTX Remix.\nCreate an Omniverse account and log in.\nLaunch RTX Remix from Omniverse.\nCheck out our documentation\nWatch RTX Remix tutorials\nJoin the RTX Remix Discord\nSee Community Resources on ModDB\nCheck out the FAQ\nSystem Requirements\nPersonal Information\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/industrial-sector/siemens/#nav-lvl1-tab4-lvl2-tab7": "NVIDIA and Siemens are collaborating to connect the Siemens Xcelerator and NVIDIA Omniverse platforms to unlock industrial digitalization.\nSee how NVIDIA and Siemens are revolutionizing manufacturing and product lifecycle management by unifying data with Universal Scene Description (OpenUSD).\nSee how Siemens is bringing the real and digital worlds even closer by integrating NVIDIA Omniverse technologies into Teamcenter X, built on the Siemens Xcelerator platform.\nSiemens is driving a new era of industrial digitalization with NVIDIA Omniverse and generative AI integration across the Siemens Xcelerator portfolio.\nOmniverse Cloud will be available as APIs, extending the reach of the world\u2019s leading platform for creating industrial digital twins across the entire ecosystem of software makers.\nThe integration between Siemens Xcelerator and NVIDIA Omniverse enables FREYR Battery to meet surging demand for high-density, cost-effective battery cells.\nTo achieve climate neutrality by 2050, German national railway operator, Deutsche Bahn, is building autonomous railway networks and trains to maximize efficiency of existing railroad capacity for the transport of goods and passengers.\nHear from NVIDIA CEO Jensen Huang, Siemens CEO Roland Busch, and BMW AG board member Milan Nedeljkovi\u0107 as they discuss the next stage of industrial automation.\nConnecting Siemens Xcelerator and NVIDIA Omniverse will usher in a new era of industrial automation, enabling industrial companies of all sizes to build closed-loop, truly real-time, full-design-fidelity immersive digital twins.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/software/quadro-experience/": "Take the guesswork out of new driver releases. NVIDIA RTX Experience sends notifications as soon as a new NVIDIA RTX Enterprise driver is available, giving you access to increased performance, improved driver stability, and new features. When you\u2019re ready to update, the simple one-click download and installation from NVIDIA RTX Experience ensures that your driver is updated, optimized, and certified for your favorite applications when you see fit. And if you change your mind on the new driver, you can easily revert to your previous driver version with the driver rollback feature.",
    "https://www.nvidia.com/en-us/industries/energy/oil-gas-operations/": "Accelerate subsurface workloads with AI, high-performance computing (HPC) and visualization.\nOil and gas enterprises are becoming integrated energy companies, using improved processes to better explore, produce, transport, and distribute fuels to consumers around the world. Global initiatives for decarbonization are accelerating the transition from fossil fuels to alternative fuels with a smaller carbon footprint and scaling renewable energy, such as wind, solar, nuclear, hydroelectric, green hydrogen and geothermal.\nLearn how ExxonMobil, Shell, SLB, and Petrobras are using AI and HPC to enhance energy exploration and production, reduce operational emissions, and accelerate carbon capture, utilization, and storage (CCUS) development.\nSee how Stone Ridge Technology accelerated simulations of multi-million-cell deep-water reservoirs, offshore oil fields, and deep-water gas fields with ECHELON 2.0 running on Eni's HPC5 cluster.\nLearn from energy companies using AI to improve energy production and reduce operating costs.\nLearn how Saudi Aramco built an AI assistant to enhance seismic data processing\u2014compiled with NVIDIA\u00ae TensorRT\u2122-LLM, deployed using NVIDIA Triton\u2122 Inference Server, and fine-tuned with NVIDIA NeMo\u2122 Guardrails.\nSaudi Aramco\nLearn how Petrobras built SolverBR\u2014a specialized linear solver powered by the Arm\u00ae-based NVIDIA Grace\u2122 CPU\u2014and achieved up to a 60 percent speedup in reservoir simulations.\nLearn how Shell used NVIDIA DGX systems to determine salt boundaries in reservoir modeling, enable 4K iterative image reconstruction, test new designs for industrial plants, and drive advancements in sustainable new materials.\nShell\nAs the world moves toward a more sustainable future, global leaders in energy are accelerating their key HPC and AI workloads with NVIDIA\u2019s full-stack platform. The result? Some of the most powerful, efficient supercomputers in the industry\u2014including those from Eni, ExxonMobil, Petrobras, Saudi Aramco, Total, and the U.S. Department of Energy\u2014are built on NVIDIA technology and continually rank near the top of the TOP500 and Green500 lists.\nOur collaboration with NVIDIA provides great value because NVIDIA brings expertise in AI and a powerful HPC platform to conduct these studies. Conversely, Shell injects realism and provides the energy experience that provides great value to NVIDIA.\n\u2013 Detlef Hohl, Chief Scientist of Computation and Data Science, Shell\nShell has ongoing work with NVIDIA: more realistic 3D reservoir models (e.g., dipping reservoir) for CO2 storage, layered geology with horizontal and vertical heterogeneity, computationally efficient FNO-based networks dealing larger input datasets and providing acceptable predictions over longer time windows (hundreds of years), and next-generation digital twin models of deep earth for carbon capture and storage (CCS) applications in real time with uncertainty assessment.\n\u2013 Pandu Devarakota, Principal Science Expert, Shell\nIn 2022, over 70 percent of computing resources at BP\u2019s Center for High-Performance Computing were used by reverse time migration (RTM)-related applications. In RTM benchmarking and validation tests, we found that one NVIDIA HGX A100 with no compression achieved up to a 35X peak shot runtime speedup compared to our in-house CLXAP cluster.\n\u2013 Muhong Zhou, Senior HPC Software Developer, BP\nWe can examine the contribution of AI to the energy sector from three dimensions: energy forecasting, carbon capture, and predictive maintenance... AI algorithms are being used for energy forecasting, to predict energy demand, and to optimize economic value... AI can be used to reduce carbon emissions by analyzing data from multiple sources regarding weather, soil, and crop yield... to optimize our supply chain logistics and reduce our carbon footprint... AI can also help energy companies monitor the performance of their assets and equipment.\n\u2013 Nayef Otaibi, Vice President and Chief Digital Officer, Saudi Aramco\nThe exploration and production (E&P) industry generates a vast amount of data, including well logs, seismic data, production data, drilling data, and other sources. Natural language processing (NLP) and large language models (LLMs) have provided the ability to integrate sources with descriptive, diagnostic, prescriptive, and predictive insights that enhance return on investment. In reservoir modeling, NLP and LLMs improve integrating sources from well logs, seismic data, and production data\u2014bringing critical understanding to the subsurface that\u2019s significant to our operations.\n\u2013 Saud Zakwani, Head of Data Science, Petroleum Development Oman\nAI can help in site selection and allocation by studying the physics, geology, and metrology of different locations to optimize solar plants or wind farms and make them more cost-effective and productive. Once facilities are deployed, we can look at AI to balance the grid and identify production capacity predicted from renewable energy. AI can help optimize a large installation of batteries, such as charging and discharging or maintenance issues.\n\u2013 Yehia Khoja, Ministry of Energy, Head of AI and Business Development, Kingdom of Saudi Arabia\nSystems powered by NVIDIA A100 80GB Tensor Core GPUs demonstrate superb performance uplifts compared to CPU performance running SLB\u2019s INTERSECT high-resolution reservoir simulator.\nShearwater GeoServices is optimizing their Reveal seismic processing software for NVIDIA GPUs to help energy companies enhance seismic data and efficiently run compute-intensive imaging algorithms.\nImage courtesy of AWS and MATLAB.\nUnderstand how geoscientists can use shallow deep learning-based algorithms with MATLAB on AWS and AI models to automatically recognize distinct geologic features in seismic images.\nLearn how to develop and deploy AI-based seismic facies classification by leveraging cloud-based HPC resources for faster prototyping and development with large 3D seismic datasets.\nLearn about the AI and HPC hardware and software for oil and gas.\nNVIDIA DGX H100 expands the frontiers of business innovation and optimization. The latest iteration of NVIDIA\u2019s legendary DGX systems and the foundation of NVIDIA DGX SuperPOD\u2122, DGX H100 is the AI powerhouse that\u2019s accelerated by the groundbreaking performance of the NVIDIA H100 Tensor Core GPU.\nNVIDIA DGX SuperPOD is an AI data center infrastructure platform that enables IT to deliver performance without compromise for every user and workload. DGX SuperPOD offers leadership-class accelerated infrastructure and agile, scalable performance for the most challenging AI and HPC workloads, with industry-proven results.\nNVIDIA DGX Cloud is a multi-node AI-training-as-a-service solution optimized for the unique demands of enterprise AI. Access NVIDIA DGX Cloud to experience a combined software and infrastructure solution for AI training that includes a full-stack AI developer suite, leadership-class infrastructure, and concierge support.\nThe NVIDIA Grace\u2122 Hopper\u2122 Superchip is a breakthrough accelerated CPU designed from the ground up for giant-scale AI and HPC applications. The superchip delivers up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world\u2019s most complex problems.\nThe NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries, and software tools essential to maximizing developer productivity and the performance and portability of HPC modeling and simulation applications.\nWith NVIDIA AI Enterprise, energy companies can speed up development of use case applications, such as reservoir simulation, seismic processing, and predictive maintenance. Learn how to get access to NVIDIA AI Enterprise with free curated labs to start testing.\nNVIDIA vGPU software enables powerful GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization, as well as the performance of NVIDIA GPUs required for modern workloads.\nNVIDIA NeMo\u2122, part of the NVIDIA AI platform, is an end-to-end, cloud-native enterprise framework for building, customizing, and deploying generative AI models with billions of parameters. Energy companies are exploring large language models in sentiment analysis for oil price prediction, as well as integrating sources from well logs, seismic data, and production data to generate real-time insights.\nNVIDIA Metropolis features GPU-accelerated SDKs and developer tools that help developers optimally build, deploy, and scale AI-enabled video analytics and IoT applications\u2014from the edge to the cloud.\nUse NVIDIA RAPIDS\u2122 to apply a wide variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH\u2019s single-source shortest path, cuML\u2019s k-nearest neighbor (KNN), DBSCAN, and logistic regression, for data analysis at scale.\nGain an understanding of the various building blocks of NVIDIA Modulus, the basics of physics-informed deep learning, and how the framework integrates with the overall NVIDIA Omniverse\u2122 platform.\nLearn how to reduce complexity and improve portability and efficiency of your code by using a containerized environment for HPC application development.\nLearn how to use NVIDIA Base Command\u2122 Platform to accelerate containerized AI training workloads, identify the tools necessary to build an AI center of excellence, and get the basics of working with, modifying, and running Docker containers from NVIDIA NGC\u2122.\nTransform your AI workloads with the NVIDIA H100 Tensor Core GPU, featuring Multi-Instance GPU (MIG), the Transformer Engine, and NVIDIA AI Enterprise.\nExplore NVIDIA Inception, the free program designed to help startups evolve faster through access to cutting-edge technology and NVIDIA experts, connections with venture capitalists, and co-marketing support to raise visibility.\nConnect with millions of like-minded developers in the NVIDIA Developer Program to do your life\u2019s work, and gain access to free containers, pretrained models, SDKs, technical documentation, and peer and domain expert help.\nExpand and support your portfolio with NVIDIA\u2019s Venture Capital (VC) Alliance, an initiative between NVIDIA and investors around the world who are focused on startups building cutting-edge technology with AI, data science, and HPC.\nNVIDIA solutions for the energy industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.\nChat with NVIDIA energy experts to help solve your business challenges.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/solutions/rendering/": "NVIDIA Omniverse\u2122 is an open platform for virtual collaboration and real-time physically accurate simulation. Creators, designers, and engineers can accelerate their workflows with one-click interoperability between leading software tools in a shared virtual world. Running on NVIDIA RTX\u2122, breathtaking, high-fidelity models can be instantly shared to any device.",
    "https://www.nvidia.com/en-us/studio/compare-gpus/#nav-lvl1-tab4-lvl2-tab1": "Explore the full range of high-performance GPUs that will help bring your creative visions to life.\nGraphics Memory\n3D Animation/ Motion Graphics\nVideo Editing\nPhotography/ Graphic Design\nBroadcasting\nGaming\nSTEM\nRay Tracing Cores\nAI & Tensor Cores\nEncoders\nAdvanced Multi-App Work\nSoftware Certification\nEnterprise Support\nRay Tracing Cores: for accurate lighting, shadows, reflections and higher quality rendering in less time. AI & Tensor Cores: for accelerated AI operations like up-resing, photo enhancements, color matching, face tagging, and style transfer. Advanced Multi-App Workflows: for demanding workflows typically involving multiple creative apps, each requiring their own set of dedicated system resources. Software Certification: software vendors who develop creative applications test and certify specific hardware for optimal and consistent operation. Enterprise Support: dedicated features and support for enterprise users. Graphics Memory: fast memory dedicated to graphics intensive tasks. More graphics memory means larger, more complex tasks can be completed by the GPU.\nGraphics Memory\nExplore the range of high-performance products compatible with NVIDIA Studio technology.\nCreative tutorials, artist showcases, contests, and exclusive offers.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/ampere-architecture/": "The NVIDIA\u00ae RTX\u2122 platform revolutionized professional visual computing forever. The NVIDIA Ampere architecture builds on the power of RTX to significantly enhance the performance of rendering, graphics, AI, and compute workloads. Engineered to perfection and featuring cutting-edge innovations, NVIDIA Ampere takes RTX to new heights for professional workloads.",
    "https://www.nvidia.com/en-us/design-visualization/quadro-vdws/": "Powerful Workstation Performance from Anywhere.\nNVIDIA RTX Virtual Workstation (vWS) software combined with our world-leading GPUs are a dynamic force for visual computing, delivering the most powerful virtual workstations from the data center or cloud to any device. Millions of creative and technical professionals can access the most demanding applications from anywhere, with awe-inspiring performance that rivals physical workstations, all while meeting the need for greater security.\nNVIDIA RTX vWS is the only virtual workstation that supports NVIDIA RTX technology, bringing advanced features like ray tracing, AI-denoising, and Deep Learning Super Sampling (DLSS) to a virtual environment. Supporting the latest generation of NVIDIA GPUs unlocks the best performance possible, so designers and engineers can create their best work faster. IT can virtualize any application from the data center with an experience that is indistinguishable from a physical workstation \u2014 enabling workstation performance from any device.\nSimplify real-time graphics workflows and connect users and teams with design tools, assets, and projects for collaborative iteration in a virtual world -- delivered from the data center or cloud with NVIDIA RTX vWS.\nIntegrate augmented reality (AR) and virtual reality (VR) into workflows to improve design reviews, virtual production, location-based entertainment, and more with NVIDIA CloudXR, fully scalable for data center and edge networks with NVIDIA RTX vWS.\nLower IT costs and get more business agility with vGPU Live Migration and Management & Monitoring tools.\nPower the most demanding workloads and dramatically speed performance by aggregating multiple NVIDIA vGPUs.\nIncrease productivity and utilization while decreasing costs leveraging GPU-accelerated compute resources to run mixed workloads.\nKeep end users productive with advanced performance and graphics features along with support for major ISV applications. All files and designs remain in the data center, greatly improving security and manageability.\nNVIDIA RTX Virtual Workstations provide performance that is on par with physical workstations. When selecting a GPU for your virtual workstation deployment consider both performance as well as performance per dollar. As you can see, those looking for the fastest performance, and support for the largest models should select the NVIDIA L40.\nUp to 3.8X Better Graphics Performance with L401\nUp to 1.4X Better Graphics Performance/Dollar with L41\n1 One user per GPU, running on a server configured with 64GB RAM per user. Cost includes GPU HW + 4 years of VGPU SW. SPECviewperf results tested on a server with 2x Xeon Gold 6154 3.0GHz (3.7GHz Turbo), VMware vSphere 7.0 U2, host/guest driver 470.63. NVIDIA RTX vWS 13, SPECviewperf 2020, 4K Geomean\nToyota leads the way in converting design work using high-end CAD to VDI with NVIDIA RTX vWS.\nRead Story >\nPaul Strickland Scanner Centre enables radiologists working remotely to access and report high-resolution patient scans.\nRead Story >\nThe Netherlands Cancer Institute updated their IT infrastructure to expedite research and streamline patient care.\nDNEG enabled access to virtual workstations from anywhere with performance on par with physical workstations.\nExperience RTX vWS with Test Drive, or register for a 90-day free trial. Simplify deployment of RTX vWS with fully tested and certified NVIDIA EGX Platform for Professional Visualization available from an NVIDIA Partner.\nNVIDIA RTX vWS can be accessed in minutes via an NVIDIA Partner Network Cloud Service Provider (CSP) to enable trusted NVIDIA accelerated workstation performance that can be scaled up and down to match business needs.\nVirtual Desktop (VDI) for knowledge workers who use office productivity applications & multimedia.\nApplication streaming with Remote Desktop Session Host (RDSH) solutions.\nFind an NVIDIA partner who sells the NVIDIA vGPU solution.\nAccess the latest NVIDIA vGPU software.\nContact NVIDIA Enterprise Support.",
    "https://www.nvidia.com/en-us/networking/ethernet-switching/": "Data Centers have changed. APIs have replaced CLIs, and the scope and scale needed to manage cloud and AI-scale networks make simulation, automation, and validation a necessity. Consisting of Air, Cumulus Linux, and NetQ, the NVIDIA Spectrum Ethernet software stack is purpose-built for operational innovation. Combining network digital twins with powerful, simple automation and actionable visibility, Spectrum Ethernet accelerates Day 0, Day 1, and Day 2 ops for faster time to value and better business outcomes. In this session, learn how to leverage Air, Cumulus, and NetQ for your mission-critical cloud networking.",
    "https://www.nvidia.com/en-us/data-center/solutions/mlops/#nav-lvl1-tab1-lvl2-tab2": "The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates data science pipelines and streamlines development and deployment of production AI, including generative AI, computer vision, speech AI, and more. With over 100 frameworks, pretrained models, and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI and deliver enterprise-ready MLOps with enterprise-grade security, reliability, including API stability, and support.",
    "https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s41879/": "Artificial Intelligence Computing Leadership from NVIDIA\nMy Account\nLog In\nLog Out\nEN\nEN\n\u7b80\u4e2d\n\u65e5\u672c\u8a9e\n\ud55c\uad6d\uc5b4\n\u7e41\u4e2d\nNVIDIA On-Demand\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nThis site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. 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    "https://www.nvidia.com/en-us/industries/automotive/": "NVIDIA\u2019s automotive solutions offer the performance and scalability to design, visualize, and simulate the future of driving. Create virtual showrooms and car configurators, develop in-vehicle AI assistants, and validate autonomous driving technology\u2014all with NVIDIA AI, Omniverse\u2122, and accelerated computing platforms.\nCome learn from experts how advances in AI and accelerated computing can profoundly impact your industry\u2014from HPC and manufacturing to healthcare, robotics, and beyond. Join us online March 20-23.\nLearn from automakers who are using GPUs and AI to drive the future, today.\nImage Courtesy of BMW Group\nBMW Group and NVIDIA are working together to transform the automotive manufacturing lifecycle by building AI-enabled, simulated digital twins of the BMW factory.\nMercedes is partnering with NVIDIA to bring its next generation of vehicles into the autonomous era, delivering intelligent cockpits redesigned for an AI driver.\nImage Courtesy of Rimac Rimac Automobili\nTry the Rimac Nevera 3D Configurator on NVIDIA Omniverse Cloud and experience a physically accurate, advanced 3D configurator\u2014built on and streamed from NVIDIA Omniverse Cloud.\nStarting in 2025, all-new Jaguar and Land Rover vehicles will be built on the NVIDIA DRIVE software-defined platform\u2014from the cloud with NVIDIA data center solutions to the car with NVIDIA DRIVE Orin\u2122.\nElectric vehicle pioneer NIO is building next-generation software-defined vehicles with AI technology that spans from the cloud to the car.\nNVIDIA\u2019s AI experts approach problems from many angles to find the most optimal solution. Their know-how enabled us to reduce training time from weeks to days, improving accuracy of our models.\n\u2013 Robert Thiel, Manager, Head of Artificial Intelligence, Continental Automotive\nThe complex scenarios faced by mass-produced cars and the massive amount of data these fleets generate are the cornerstones of NIO\u2019s autonomous driving capabilities. By using NVIDIA high-performance compute solutions, NIO can accelerate the path to autonomous driving.\n\u2013 Bai Yuli, Head of AI, NIO\nOur collaboration with NVIDIA allows us to develop the future of factory logistics today.\n\u2013 J\u00fcrgen Maidl, Senior Vice President of Logistics, The BMW Group\nLeading companies across the transportation industry\u2014 including BYD, GAC, Nuro, Plus, WeRide, and XPENG \u2014choose NVIDIA DRIVE\u2122 Thor to power their next-generation vehicles.\nLearn how Foretellix, CARLA, and other simulation developers are using Omniverse Cloud APIs to deliver sensor simulation for AV training, testing, and validation. Continental and Stellantis are also using these APIs to build digital twins and tools to unify workflows.\nAISpeech, Baidu, Cerence, DeepRoute, SenseAuto, SoundHound, Stack, and Wavye are advancing intelligent AI assistants, driver and passenger monitoring, and more using NVIDIA\u2019s edge-to-cloud technology.\nThe automotive industry is being transformed by AI and software-defined vehicles. Hear from industry leaders share their perspectives on how AI is shaping the future of transportation.\nLeading automakers like Lotus are adopting advanced configurator solutions by key creative partners and developers such as BITONE, Configit, Katana, WPP, and Zerolight.\nFeatured\nLearn more about how BMW Group is adopting NVIDIA Omniverse in the official virtual opening on the automaker's new electric vehicle plant.\nGTC On-Demand\nWebinars\nWaabi CEO and founder Raquel Urtasun joins NVIDIA\u2019s Katie Burke Washabaugh to talk about the role simulation technology plays in developing production-level autonomous vehicles.\nLearn how to integrate your sensor of choice for NVIDIA DRIVE.\nIn this course, you\u2019ll be guided through a working example of a custom plug-in for a sensor using the DriveWorks SDK and implement core elements of the plugin.\nLearn how deep learning works through hands-on exercises in computer vision and natural language processing. You\u2019ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You\u2019ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.\nLearn how to quickly build and deploy production quality conversational AI applications with real-time transcription and natural language processing (NLP) capabilities.\nGet access to free SDKs, training, and technical resources to successfully build applications on all NVIDIA technology platforms by joining our Developer Program.\nAccelerate your startup by joining the NVIDIA Inception Program. It provides over 13,000 cutting-edge startups worldwide with critical go-to-market support, technical expertise, training, and introductions to funding opportunities.\nDevelop and master the skills you need in AI, HPC, and the metaverse through the NVIDIA Deep Learning Institute (DLI). Choose from a catalog of over 80 self-paced courses and instructor-led workshops.\nOur experts can help your business unlock new capabilities and take your success to the next level.",
    "https://www.nvidia.com/#nav-lvl1-tab4-lvl2-tab8": "June 2, 7 p.m. Taiwan Time.\nAI\nJoin NVIDIA Founder and CEO Jensen Huang and SAP CEO Christian Klein on June 4 as they discuss the many ways AI can help transform your business.\nLearn how to manage AI inference at scale through real-world case studies and best practices for ensuring data security, compliance, and innovation.\nDon\u2019t miss the opening keynote when NVIDIA Founder and CEO Jensen Huang joins Snowflake CEO Sridhar Ramaswamy to discuss what the future holds in the era of AI.\nImage Courtesy of Foxconn\nImage courtesy of Accuray\nNVIDIA AI models and microservices advance edge computing, route mapping, and app performance.\n*In-person registration is required.\nLatest AI performance gains and features for RTX AI PCs unveiled at Microsoft Build.\nImage courtesy of: JIYUE\nThe Dawn of a New Industrial Revolution\nBring Out the Best in Your Business With Jensen Huang at SAP Sapphire\nWebinar: Deploying Generative AI in Production\nJensen Huang Talks the Future of AI at Snowflake Data Cloud Summit\nNVIDIA and Microsoft Deliver Optimized AI for Developers\nNew Performance Optimizations Supercharge NVIDIA RTX AI PCs\nAll the informative and inspiring sessions are now available to watch at your own convenience. Don\u2019t miss this opportunity to discover the latest breakthroughs from the conference for the era of AI. Watch On Demand Now\nAI is powering change in every industry. From generative AI and speech recognition to medical imaging and improved supply chain management, AI is providing enterprises the compute power, tools, and algorithms their teams need to do their life's work.\nQuick Links\nJoin NVIDIA Founder and CEO Jensen Huang and SAP CEO Christian Klein on June 4 as they discuss the ways AI can help bring out the best in your business.\nLearn how to manage AI inference at scale through real-world case studies and best practices.\nThe Dell AI Factory with NVIDIA is turbocharging generative AI adoption for enterprises.\nJensen Huang joins Snowflake CEO Sridhar Ramaswamy to discuss the future of AI.\nNVIDIA\u2019s founder and CEO will join ServiceNow\u2019s president and COO on stage for a live keynote.\nNew features include support for voice and image search, plus new models.\nThis supercomputing hub is a digital sandbox where students can apply AI in the classroom.\nA new partnership will bring essential AI skills to workforces in the U.S. and Japan.\nExplore new enterprise-grade building blocks to create and deploy custom AI applications.\nNVIDIA RTX\u2122 and NVIDIA Omniverse\u2122 deliver the performance to help professionals, creators, developers, and students worldwide enhance creative workflows and build, operate, and connect metaverse applications.\nSoftServe\nOpenUSD-powered virtual factory solutions help enhance manufacturing workflows for leading German automotive technology company.\nSiemens, HD Hyundai\nOpenUSD integration into Siemens\u2019 technologies is powering a new wave of industrial digitalization.\nThe latest news and demos unveiled at GTC highlight the potential of OpenUSD and Omniverse Cloud APIs in transforming creative workflows.\nSiemens, Ansys, Cadence, Hexagon, Microsoft Azure, Rockwell Automation, Trimble and more adopt Omniverse technologies.\nTrain AI agents to optimize synchronization between robots and humans within their environment, enabling seamless navigation through unpredictable or complex events.\nSiemens is driving a new era of industrial digitalization with Omniverse and generative AI integration across the Siemens Xcelerator portfolio.\nKatana, Nissan\nNew Omniverse Cloud technologies let developers beam interactive, OpenUSD industrial digital twins into spatial computing.\nCadence\nThe NVIDIA GB200 NVL72 system digital twin is supported by Ansys, Cadence, Motivair, and more.\nAnsys, Keysight, Nokia, and Samsung are among the first on NVIDIA 6G Research Cloud platform.\nHigh-performance computing (HPC) is the ability to process data and perform complex calculations at high speeds. HPC is one of the most essential tools fueling the advancement of computational science.\nSupercomputers are incorporating NVIDIA Grace Hopper and CUDA-Q to advance quantum research.\nThe U.S. National Science Foundation has launched the National Artificial Intelligence Research Resource pilot, with NVIDIA as a major contributor.\nEarth-2 provides a path to simulate and visualize the global atmosphere at unprecedented speed and scale.\nNVIDIA and Quantum Machines debut DGX\u2122 Quantum-integrated architecture using the open-source CUDA\u00ae Quantum software platform.\nA new ebook shares best practices for system design, current trends, and expert insights.\nNVIDIA Clara\u2122 Holoscan, BlueField\u00ae DPUs, and MetroX\u00ae-3 enable streaming processing at the edge.\nNVIDIA Omniverse\u2122 lets designers, builders, and operators use the power of virtual worlds.\nThe National Oceanic and Atmospheric Administration has selected Lockheed Martin and NVIDIA for the project.\nNVIDIA GeForce RTX\u2122 powers the world\u2019s fastest GPUs and the ultimate platform for gamers and creators. Enjoy beautiful ray tracing, AI-powered DLSS, and much more in games and applications, on your desktop, laptop, in the cloud, or in your living room.\nDelivering a quantum leap in performance and AI-powered graphics\nOver 500 RTX games and apps are now powered by DLSS, ray tracing & AI-powered technologies. Check out the latest.\nWith NVIDIA DLSS 3 and Reflex.\nLearn more about the world's fastest laptops for gamers and creators.\nAvailable now with DLSS 3.5.\nLearn more about the best displays that are rigorously tested for the highest standards.\nSee what\u2019s streaming this week on GeForce NOW.\nLearn about Twitch Enhanced Broadcasting, powered by GeForce RTX.\nExtraordinary artists, inspiring art, and creator news\u2014every week.\nFrom developing autonomous vehicles on NVIDIA DRIVE\u00ae to creating factory digital twins and retail experiences with NVIDIA Omniverse, our automotive solutions offer the performance and scalability to design, visualize, simulate, and create all types of future transportation.\nLeading automotive partners are adopting NVIDIA DRIVE\u00ae for their next-generation vehicles.\nLeading companies across the transportation industry count on NVIDIA DRIVE\u2122 Thor to advance their next-generation vehicles.\nForetellix\nThe new APIs deliver large-scale, high-fidelity, and physically based sensor simulations to accelerate autonomous vehicle development.\nFrom EV makers adopting NVIDIA DRIVE\u2122 Thor to Omniverse\u2122 Cloud APIs for simulation, come learn about the latest automotive announcements at GTC 2024.\nBYD\nLearn how generative AI developers are building intelligent AI assistants using NVIDIA\u2019s edge-to-cloud technology.\nNVIDIA partners are fusing the physical and digital worlds to redefine the automotive industry.\nExplore unique perspectives from industry leaders on how AI is shaping the future of transportation.\nWPP, Zerolight, Ford, and Lotus are embracing the interactive 3D platform.\nImage Courtesy of Li Auto\nLi Auto, Great Wall Motor, Xiaomi, and ZEEKR are adopting the NVIDIA DRIVE platform.\nVirtual factory and autonomous vehicle simulation engines hosted on Azure will streamline design, production, and validation.\nThe NVIDIA Jetson\u2122 and Isaac\u2122 platforms provide end-to-end solutions to develop and deploy AI-powered autonomous machines and edge computing applications across manufacturing, logistics, healthcare, smart cities, and retail.\nIntrinsic uses NVIDIA AI to advance robotic manipulation, showcasing leaps in robotic grasping.\nThe GR00T general-purpose foundation model will act as the mind of robots, making them capable of learning skills to solve a variety of helpful tasks.\nIntroducing new foundation models, a robot learning framework, AI workflow orchestration, and robot perception tools.\nThis powerful new cloud-native compute orchestration service delivers a single pane of glass for scheduling and managing autonomous machine workloads.\nJohnson & Johnson\nUsing NVIDIA AI and robotics to deliver real-time insights before, during, and after surgical procedures.\nNVIDIA introduces powerful microservices and APIs to bring edge AI to production faster than ever before.\nNVIDIA announces the most complete AI embedded software stack for robotics, vision AI, and edge applications.\nLearn how electronics giants tap into industrial automation with NVIDIA Metropolis for Factories.\nCheck out the rugged, power-efficient NVIDIA Jetson AGX Orin\u2122 Industrial system-on-module.\nThe company is accelerating robotics-based inspection in automotive and electronics manufacturing.\nFrom the cloud to the office to the data center to the edge, NVIDIA provides solutions that deliver breakthrough performance on enterprise AI and HPC workloads at any scale, driving business decisions in real time and resulting in faster time to value.\nNVIDIA AI models and microservices advance edge computing, route mapping, and app performance.\nSwitzerland\u2019s Alps Supercomputer and others will deliver 200 exaFLOPS to advance research.\nThe latest in accelerated compute and networking will boost performance for AI and beyond.\nNVIDIA H200 Tensor Core GPUs delivered the fastest inference performance on generative AI tests.\nDesigned for massive-scale AI and optimized for trillion-parameter-scale generative AI and GPU computing.\nPowering a new era of computing, the NVIDIA Blackwell platform has arrived.\nThe next-generation DGX SuperPOD processes massive trillion-parameter models for generative AI.\nThe NVIDIA GB200 NVL72 exascale computer enables real-time inference and training in a single rack.\nPowered by the NVIDIA Blackwell architecture, DGX B200 is a unified platform optimized for enterprise AI workloads.\nThe new simulation platform will help scientists advance quantum computing and algorithm research.\nNVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.\nWatch NVIDIA founder and CEO Jensen Huang deliver a live keynote sharing how the era of AI is driving a new industrial revolution across the globe.\nSee the AI breakthroughs driving the new industrial revolution.\nAccuray\nOur work is truly unique. Part science. Part art. Every breakthrough helps shape what\u2019s next.\nNVIDIA was named the world\u2019s most innovative company by Fast Company, while CEO Jensen Huang was elected to the U.S. National Academy of Engineering for helping to fuel the AI revolution.\nSee entrepreneur Kanjun Qiu and NVIDIA\u2019s Bryan Catanzaro discuss bridging the gap between imagination and automation at NVIDIA GTC.\nThanks to our employees, NVIDIA is once again one of the top places to work in the U.S., according to Glassdoor. Discover why it\u2019s like no place you\u2019ve ever worked.\nThe NVIDIA Partner Network honors industry leaders with \u2018Partner of the Year\u2019 awards.\nTe Hiku Media\u2019s uses NVIDIA NeMo toolkit for speech recognition.\nDiscover how the NVIDIA cuOpt route optimization engine helps with railway safety and manufacturing optimizations.\nLearn how Manikandan made the choice between two careers that involved chips: either cooking them or engineering them.\nSMS was acquired by NVIDIA Corporation of Santa Clara, CA in May 2022 and was dissolved as a separate corporate entity. NVIDIA is incorporating SMS technology into its Omniverse platform and OpenUSD. For legacy support content please refer to the following: SMLib and NLib.",
    "https://www.nvidia.com/en-us/data-center/products/egx/": "We had an excellent partnership with NVIDIA on Rise of the Tomb Raider. Now, thanks to NVIDIA RTX technology, we are pleased to announce that Shadow of the Tomb Raider will, quite fittingly, feature real-time shadows. - Rich Briggs, Senior Brand Director, Crystal Dynamics",
    "https://www.nvidia.com/object/support.html#nav-lvl1-tab2": "NVIDIA\u2019s support services are designed to meet the needs of both the consumer and enterprise customer, with multiple options to help ensure an exceptional customer experience.\nPlease select the appropriate option below to learn more.\nFind support for products such as:\nFind support for enterprise-level products such as:",
    "https://www.nvidia.com/en-us/design-visualization/software/quadro-experience/#nav-lvl1-tab4": "Take the guesswork out of new driver releases. NVIDIA RTX Experience sends notifications as soon as a new NVIDIA RTX Enterprise driver is available, giving you access to increased performance, improved driver stability, and new features. When you\u2019re ready to update, the simple one-click download and installation from NVIDIA RTX Experience ensures that your driver is updated, optimized, and certified for your favorite applications when you see fit. And if you change your mind on the new driver, you can easily revert to your previous driver version with the driver rollback feature.",
    "https://www.nvidia.com/en-us/networking/infiniband-long-haul-systems/#nav-lvl1-tab4-lvl2-tab1": "Untold Secrets of the Efficient Data Center\nIn an independent research study, key IT executives identified one key technology that can be used to support cloud-scale data centers models. Read the report to find out what was the number one technology for delivering efficiency in the cloud and the key to top performance in AI and ML environments.",
    "https://www.nvidia.com/en-us/data-center/products/#page-content": "NVIDIA AI Enterprise is an end-to-end, secure, and cloud-native AI software platform that accelerates the data science pipeline and streamlines the development and deployment of production AI.\nAvailable in the cloud, data center, and at the edge, NVIDIA AI Enterprise provides businesses with a smooth transition to AI\u2014from pilot to production\u2014that offers security, support, manageability, and stability.",
    "https://www.nvidia.com/en-us/geforce/gaming-laptops/max-q-technologies/#nav-lvl1-tab4-lvl2-tab1": "CPU power efficiency is critical for maximizing performance, and on laptops, power is shared between the CPU and GPU. Max-Q\u2019s CPU Optimizer optimizes this power using a low-level framework, letting the GPU driver optimize next-gen CPUs\u2019 performance, temperature, and power.\nPairing this new framework with CPU optimizations like deep power states, improved work dispatch, and driver thread synchronization significantly improves CPU efficiency\u2014and the power saved is transferred to the GPU, giving it more performance.",
    "https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/#nav-lvl1-tab4-lvl2-tab1": "Data analytics and database workflows have traditionally relied on CPUs for compute. Accelerated data science can dramatically boost the performance of end-to-end analytics, speeding up value generation while reducing cost. Databases, including Apache Spark, play critical roles in handling, processing, and analyzing large volumes of data for data analytics.\nBlackwell\u2019s Decompression Engine and ability to access massive amounts of memory in the NVIDIA Grace\u2122 CPU over a high-speed link\u2014900 gigabytes per second (GB/s) of bidirectional bandwidth\u2014accelerate the full pipeline of database queries for the highest performance in data analytics and data science with support for the latest compression formats such as LZ4, Snappy, and Deflate.",
    "https://www.nvidia.com/object/support.html#page-content": "NVIDIA\u2019s support services are designed to meet the needs of both the consumer and enterprise customer, with multiple options to help ensure an exceptional customer experience.\nPlease select the appropriate option below to learn more.\nFind support for products such as:\nFind support for enterprise-level products such as:",
    "https://www.nvidia.com/en-us/networking/ethernet-switching/#products": "Data Centers have changed. APIs have replaced CLIs, and the scope and scale needed to manage cloud and AI-scale networks make simulation, automation, and validation a necessity. Consisting of Air, Cumulus Linux, and NetQ, the NVIDIA Spectrum Ethernet software stack is purpose-built for operational innovation. Combining network digital twins with powerful, simple automation and actionable visibility, Spectrum Ethernet accelerates Day 0, Day 1, and Day 2 ops for faster time to value and better business outcomes. In this session, learn how to leverage Air, Cumulus, and NetQ for your mission-critical cloud networking.",
    "https://www.nvidia.com/en-us/design-visualization/quadro-vdws/#nav-lvl1-tab1-lvl2-tab1": "Powerful Workstation Performance from Anywhere.\nNVIDIA RTX Virtual Workstation (vWS) software combined with our world-leading GPUs are a dynamic force for visual computing, delivering the most powerful virtual workstations from the data center or cloud to any device. Millions of creative and technical professionals can access the most demanding applications from anywhere, with awe-inspiring performance that rivals physical workstations, all while meeting the need for greater security.\nNVIDIA RTX vWS is the only virtual workstation that supports NVIDIA RTX technology, bringing advanced features like ray tracing, AI-denoising, and Deep Learning Super Sampling (DLSS) to a virtual environment. Supporting the latest generation of NVIDIA GPUs unlocks the best performance possible, so designers and engineers can create their best work faster. IT can virtualize any application from the data center with an experience that is indistinguishable from a physical workstation \u2014 enabling workstation performance from any device.\nSimplify real-time graphics workflows and connect users and teams with design tools, assets, and projects for collaborative iteration in a virtual world -- delivered from the data center or cloud with NVIDIA RTX vWS.\nIntegrate augmented reality (AR) and virtual reality (VR) into workflows to improve design reviews, virtual production, location-based entertainment, and more with NVIDIA CloudXR, fully scalable for data center and edge networks with NVIDIA RTX vWS.\nLower IT costs and get more business agility with vGPU Live Migration and Management & Monitoring tools.\nPower the most demanding workloads and dramatically speed performance by aggregating multiple NVIDIA vGPUs.\nIncrease productivity and utilization while decreasing costs leveraging GPU-accelerated compute resources to run mixed workloads.\nKeep end users productive with advanced performance and graphics features along with support for major ISV applications. All files and designs remain in the data center, greatly improving security and manageability.\nNVIDIA RTX Virtual Workstations provide performance that is on par with physical workstations. When selecting a GPU for your virtual workstation deployment consider both performance as well as performance per dollar. As you can see, those looking for the fastest performance, and support for the largest models should select the NVIDIA L40.\nUp to 3.8X Better Graphics Performance with L401\nUp to 1.4X Better Graphics Performance/Dollar with L41\n1 One user per GPU, running on a server configured with 64GB RAM per user. Cost includes GPU HW + 4 years of VGPU SW. SPECviewperf results tested on a server with 2x Xeon Gold 6154 3.0GHz (3.7GHz Turbo), VMware vSphere 7.0 U2, host/guest driver 470.63. NVIDIA RTX vWS 13, SPECviewperf 2020, 4K Geomean\nToyota leads the way in converting design work using high-end CAD to VDI with NVIDIA RTX vWS.\nRead Story >\nPaul Strickland Scanner Centre enables radiologists working remotely to access and report high-resolution patient scans.\nRead Story >\nThe Netherlands Cancer Institute updated their IT infrastructure to expedite research and streamline patient care.\nDNEG enabled access to virtual workstations from anywhere with performance on par with physical workstations.\nExperience RTX vWS with Test Drive, or register for a 90-day free trial. Simplify deployment of RTX vWS with fully tested and certified NVIDIA EGX Platform for Professional Visualization available from an NVIDIA Partner.\nNVIDIA RTX vWS can be accessed in minutes via an NVIDIA Partner Network Cloud Service Provider (CSP) to enable trusted NVIDIA accelerated workstation performance that can be scaled up and down to match business needs.\nVirtual Desktop (VDI) for knowledge workers who use office productivity applications & multimedia.\nApplication streaming with Remote Desktop Session Host (RDSH) solutions.\nFind an NVIDIA partner who sells the NVIDIA vGPU solution.\nAccess the latest NVIDIA vGPU software.\nContact NVIDIA Enterprise Support.",
    "https://www.nvidia.com/en-us/research/ai-playground/#intro": "Try State-of-the-Art Generative AI Models From Your Browser NVIDIA AI Foundation offers an easy-to-use interface to quickly experience generative AI models from your browser without any setup. After you explore the model, you can customize it and take it to production with NVIDIA AI Enterprise. Try AI Foundation Models",
    "https://www.nvidia.com/en-us/data-center/virtualization/#nav-lvl1-tab4-lvl2-tab7": "NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software, optimized for every organization to excel at AI, certified to deploy anywhere from the enterprise data center to the public cloud, and includes global enterprise support so AI projects stay on track, allowing organizations to focus on harnessing the business value of AI.",
    "https://www.nvidia.com/en-us/geforce/news/dlss-3-ea-sports-f1-24-dlss-2-capes/?nvid=nv-int-drvr-712013": "F1\u00ae 24 is available from today, May 28th, for players of the digital-exclusive Champions Edition and EA Play Pro subscribers, with the general release following on May 31st. When GeForce RTX gamers take to the track, they\u2019ll discover day-one support for a massive range of experience-enhancing technology, including DLSS, DLAA and Reflex.\nDLSS enables all GeForce RTX users to accelerate frame rates, while DLAA allows gamers with high-performing systems to use a native resolution image to maximize image quality.\nNVIDIA Reflex is a game-changing technology that reduces system latency on GeForce graphics cards and laptops so your actions occur quicker, giving you a competitive edge in multiplayer races, and making single-player races more responsive and enjoyable.\nAdditionally, GeForce RTX gamers can leverage the power of their GPU\u2019s dedicated Ray Tracing Cores to get the highest possible frame rates when activating F1\u00ae 24\u2019s ray-traced effects. Ray-Traced Reflections enhance the realism and fidelity of cars, glass, water and other suitably reflective surfaces. Ray-Traced Shadows enable every winglet and flourish on an F1\u00ae car to be accurately shadowed and self-shadowed, further heightening realism and immersion. And the new Ray-Traced Dynamic Diffuse Global Illumination setting takes trackside lighting to the next level, and enhances the quality of ray-traced reflections and shadows.\nActivating all three ray-traced effects tests the mettle of any system, but with DLSS you can race with both excellent frame rates and incredible image quality. On GeForce RTX 40 Series desktop graphics cards, enabling DLSS 3 multiples frame rates by an average of 2X at 4K, with every ray-traced effect and other option maxed out. That enables owners of the GeForce RTX 4070, and faster cards, to play F1\u00ae 24 at its very best. And for owners of the fastest cards, they can enjoy super fast, super smooth 120 frames per second-plus racing.",
    "https://www.nvidia.com/en-us/geforce-now/games/": "GeForce NOW connects to digital PC game stores so you can stream the games you already own.\nNew games are added to our library every GFN Thursday\u2014our dedicated day for highlighting the newest games, features, and news*.\nHere's a look at the games joining the GeForce NOW library in January:\nFarlanders (New Release on Steam) Surviving the Abyss (New Release on Steam) Tortuga - A Pirate's Tale (New Release on Epic Games, Jan. 19) Epistory - Typing Chronicles (New Release on Epic Games, Jan. 19) Absolute Drift (Steam) BLACKTAIL (Steam and Epic Games) Dwarf Fortress (Steam) Hello Neighbor 2 (Steam and Epic Games) NEBULOUS: Fleet Command (Steam) Shadow Tactics - Aiko's Choice (Epic Games Store)\n*Some games listed may not appear until later in the week, including new game launches. You must already own or purchase titles to play them on GeForce NOW. Game availability per device may vary.",
    "https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/#nav-lvl1-tab1-lvl2-tab2": "Data analytics and database workflows have traditionally relied on CPUs for compute. Accelerated data science can dramatically boost the performance of end-to-end analytics, speeding up value generation while reducing cost. Databases, including Apache Spark, play critical roles in handling, processing, and analyzing large volumes of data for data analytics.\nBlackwell\u2019s Decompression Engine and ability to access massive amounts of memory in the NVIDIA Grace\u2122 CPU over a high-speed link\u2014900 gigabytes per second (GB/s) of bidirectional bandwidth\u2014accelerate the full pipeline of database queries for the highest performance in data analytics and data science with support for the latest compression formats such as LZ4, Snappy, and Deflate.",
    "https://www.nvidia.com/en-us/data-center/tensor-cores/#nav-lvl1-tab2": "Advanced HPC\nHPC is a fundamental pillar of modern science. To unlock next-generation discoveries, scientists use simulations to better understand complex molecules for drug discovery, physics for potential sources of energy, and atmospheric data to better predict and prepare for extreme weather patterns. NVIDIA Tensor Cores offer a full range of precisions, including FP64, to accelerate scientific computing with the highest accuracy needed.\nThe HPC SDK provides the essential compilers, libraries, and tools for developing HPC applications for the NVIDIA platform.",
    "https://www.nvidia.com/en-us/networking/ethernet-switching/#nav-lvl1-tab4-lvl2-tab7": "Data Centers have changed. APIs have replaced CLIs, and the scope and scale needed to manage cloud and AI-scale networks make simulation, automation, and validation a necessity. Consisting of Air, Cumulus Linux, and NetQ, the NVIDIA Spectrum Ethernet software stack is purpose-built for operational innovation. Combining network digital twins with powerful, simple automation and actionable visibility, Spectrum Ethernet accelerates Day 0, Day 1, and Day 2 ops for faster time to value and better business outcomes. In this session, learn how to leverage Air, Cumulus, and NetQ for your mission-critical cloud networking.",
    "https://www.nvidia.com/en-us/geforce/forums/": "Loading NVIDIA GeForce Forums!\nPlease stand by!\nThis site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site.\nHere are the instructions how to enable JavaScript in your web browser.",
    "https://www.nvidia.com/en-us/networking/ethernet/connectx-4-lx/": "ConnectX-4 Lx adapter cards enable data centers to leverage leading interconnect adapters to increase their operational efficiency to improve server utilization and maximize application productivity, while reducing total cost of ownership (TCO).\nConnectX-4 Lx provides support for 1, 10, 25, 40, and 50GbE bandwidth, sub-microsecond latency and a 70 million packets per second message rate. It includes native hardware support for RDMA over converged Ethernet, Ethernet stateless offload engines, overlay networks, and NVIDIA GPUDirect\u00ae Technology.",
    "https://www.nvidia.com/en-us/industries/automotive/#nav-lvl1-tab4-lvl2-tab8": "NVIDIA\u2019s automotive solutions offer the performance and scalability to design, visualize, and simulate the future of driving. Create virtual showrooms and car configurators, develop in-vehicle AI assistants, and validate autonomous driving technology\u2014all with NVIDIA AI, Omniverse\u2122, and accelerated computing platforms.\nCome learn from experts how advances in AI and accelerated computing can profoundly impact your industry\u2014from HPC and manufacturing to healthcare, robotics, and beyond. Join us online March 20-23.\nLearn from automakers who are using GPUs and AI to drive the future, today.\nImage Courtesy of BMW Group\nBMW Group and NVIDIA are working together to transform the automotive manufacturing lifecycle by building AI-enabled, simulated digital twins of the BMW factory.\nMercedes is partnering with NVIDIA to bring its next generation of vehicles into the autonomous era, delivering intelligent cockpits redesigned for an AI driver.\nImage Courtesy of Rimac Rimac Automobili\nTry the Rimac Nevera 3D Configurator on NVIDIA Omniverse Cloud and experience a physically accurate, advanced 3D configurator\u2014built on and streamed from NVIDIA Omniverse Cloud.\nStarting in 2025, all-new Jaguar and Land Rover vehicles will be built on the NVIDIA DRIVE software-defined platform\u2014from the cloud with NVIDIA data center solutions to the car with NVIDIA DRIVE Orin\u2122.\nElectric vehicle pioneer NIO is building next-generation software-defined vehicles with AI technology that spans from the cloud to the car.\nNVIDIA\u2019s AI experts approach problems from many angles to find the most optimal solution. Their know-how enabled us to reduce training time from weeks to days, improving accuracy of our models.\n\u2013 Robert Thiel, Manager, Head of Artificial Intelligence, Continental Automotive\nThe complex scenarios faced by mass-produced cars and the massive amount of data these fleets generate are the cornerstones of NIO\u2019s autonomous driving capabilities. By using NVIDIA high-performance compute solutions, NIO can accelerate the path to autonomous driving.\n\u2013 Bai Yuli, Head of AI, NIO\nOur collaboration with NVIDIA allows us to develop the future of factory logistics today.\n\u2013 J\u00fcrgen Maidl, Senior Vice President of Logistics, The BMW Group\nLeading companies across the transportation industry\u2014 including BYD, GAC, Nuro, Plus, WeRide, and XPENG \u2014choose NVIDIA DRIVE\u2122 Thor to power their next-generation vehicles.\nLearn how Foretellix, CARLA, and other simulation developers are using Omniverse Cloud APIs to deliver sensor simulation for AV training, testing, and validation. Continental and Stellantis are also using these APIs to build digital twins and tools to unify workflows.\nAISpeech, Baidu, Cerence, DeepRoute, SenseAuto, SoundHound, Stack, and Wavye are advancing intelligent AI assistants, driver and passenger monitoring, and more using NVIDIA\u2019s edge-to-cloud technology.\nThe automotive industry is being transformed by AI and software-defined vehicles. Hear from industry leaders share their perspectives on how AI is shaping the future of transportation.\nLeading automakers like Lotus are adopting advanced configurator solutions by key creative partners and developers such as BITONE, Configit, Katana, WPP, and Zerolight.\nFeatured\nLearn more about how BMW Group is adopting NVIDIA Omniverse in the official virtual opening on the automaker's new electric vehicle plant.\nGTC On-Demand\nWebinars\nWaabi CEO and founder Raquel Urtasun joins NVIDIA\u2019s Katie Burke Washabaugh to talk about the role simulation technology plays in developing production-level autonomous vehicles.\nLearn how to integrate your sensor of choice for NVIDIA DRIVE.\nIn this course, you\u2019ll be guided through a working example of a custom plug-in for a sensor using the DriveWorks SDK and implement core elements of the plugin.\nLearn how deep learning works through hands-on exercises in computer vision and natural language processing. You\u2019ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You\u2019ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.\nLearn how to quickly build and deploy production quality conversational AI applications with real-time transcription and natural language processing (NLP) capabilities.\nGet access to free SDKs, training, and technical resources to successfully build applications on all NVIDIA technology platforms by joining our Developer Program.\nAccelerate your startup by joining the NVIDIA Inception Program. It provides over 13,000 cutting-edge startups worldwide with critical go-to-market support, technical expertise, training, and introductions to funding opportunities.\nDevelop and master the skills you need in AI, HPC, and the metaverse through the NVIDIA Deep Learning Institute (DLI). Choose from a catalog of over 80 self-paced courses and instructor-led workshops.\nOur experts can help your business unlock new capabilities and take your success to the next level.",
    "https://www.nvidia.com/en-us/omniverse/solutions/3d-design-collaboration/#nav-lvl1-tab4": "There are two methods to get started with developing on NVIDIA Omniverse:\nPlatform SDK\nFor developers looking to build an application from scratch, NVIDIA offers Omniverse Kit SDK and free sample applications that can be easily customized and extended.\nDownload the platform SDK here.\nCloud APIs\nFor developers looking to take only the pieces they need, NVIDIA offers Omniverse core technologies that are exposed as simple APIs that developers can self-host on any cloud, multi-cloud, or virtual private cloud, or, consume as a managed service from NVIDIA Omniverse Cloud on Microsoft Azure.\nOmniverse core APIs give developers the ability to integrate USD data ingest, and RTX-enabled output.\nApply for early access to APIs.",
    "https://www.nvidia.com/en-us/design-visualization/creators/": "Experience real time virtual creative collaboration with NVIDIA Omniverse. Learn More >\nSupporting hobbyists, aspiring artists, and industry professionals alike, the NVIDIA Studio platform supercharges your creative process with RTX and AI. Our industry-leading RTX GPUs, paired with our exclusive driver technology, enhance your creative apps with a level of performance and ability that's nothing short of inspiring. With NVIDIA Studio accelerating your workflows and ideas, you\u2019re free to realize your most ambitious projects yet.\nModel and render rich virtual worlds with blazing fast performance thanks to the RT cores in NVIDIA RTX\u2122 GPUs, and preview your results faster with AI denoising and DLSS 3.5. Plus, you can connect and accelerate your 3D apps workflows and collaborate in real time with NVIDIA Omniverse\u2122.\nFor NVIDIA RTX Workstation performance, please visit here.\nBlender Cycles Render up to 2.3X faster.\nBLENDER\nShorter wait times are better. Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11. Blender 3.6 measures render time of various scenes using Blender OpenData benchmark with the OptiX render engine.\nAutodesk Arnold With Maya Render up to 5.9X faster.\nAUTODESK ARNOLD\nShorter wait times are better. Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.Maya with Arnold 2023 (7.2.1) renderer performance measures render time of the NVIDIA SOL 3D model.\nShoot, edit, and deliver faster in 4K, 8K, and even 12K, saving you time and effort. Take advantage of specialized RTX tensor cores that deliver cutting-edge AI performance and effects, and harness dedicated encoders and decoders for accelerated video tasks.\nAdobe Premiere ProEdit video up to 34% faster.\nADOBE PREMIERE PRO\nShorter wait times are better. Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.Adobe Premiere Pro 24.1 (Dec 2023) performance measures various GPU-accelerated effects, including Lumetri Color, Gaussian Blur, Sharpen, and others.\nDaVinci Resolve Apply AI effects up to 2.6X faster\nDAVINCI RESOLVE\nShorter wait times are better. Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11. DaVinci Resolve 18.6 performance measures time to apply various AI effects such as Magic Mask, Depth Map, Speed Warp, etc.\nCapturing an image is only the beginning. Easily touch-up your high-res photos with over over 30 GPU-accelerated effects, including AI features to enhance your artwork.\nON1 Resize AIUpRes your photos up to 4.1X faster.\nON1 RESIZE AI\nShorter wait times are better. Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.ON1 Resize AI measures time to apply super resolution effect to a batch of photos.\nADOBE LIGHTROOM\nAdobe Creative Cloud gets lightning fast with NVIDIA Studio technology, letting you craft and enhance your work quicker than ever, with powerful AI tools that run faster on GeForce RTX GPUs.\nAdobe Photoshop Apply AI effects up to 13% faster.\nADOBE PHOTOSHOP\nShorter wait times are better. Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11. Adobe Photoshop performance measures time to complete super resolution feature.\nADOBE ILLUSTRATOR\nADOBE STAGER\nEffortlessly visualize worlds and spaces in stunning reality using RTX GPU-accelerated ray tracing and DLSS in apps like Unreal Engine 5, Chaos V-Ray, and Vantage.\nV-Ray Render up to 6.9X faster.\nV-RAY\nShorter wait times are better.Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.V-Ray 5 Benchmark measures render performance on various scenes.\nUNREAL ENGINE\nENSCAPE\nUnlock pro-level quality and performance in your favorite streaming apps with NVIDIA's exclusive GPU encoder, NVENC. And turn any room into a home studio with the NVIDIA Broadcast App.\nOBS StudioUp to 55% more FPS while live streaming.\nOBS STUDIO\nLaptop: Performance testing conducted by NVIDIA in December 2023 RTX 40 Series GPUs and Intel Core i7 12700H, RTX 30 Series GPUs and Intel Core i7 12700H. NVIDIA Driver 546 Windows 11.Games running at 1440p high Settings. OBS 30 capturing gameplay and webcam and encoding at 1080p60 6Mbps.\nSTREAMLABS\nXSPLIT BROADCASTER\nTWITCH STUDIO\nDISCORD\nConnect your favorite apps from Autodesk, Adobe, Epic, and more to NVIDIA Omniverse\u2122 and open a whole new universe of speed and possibility. Whether making animated films, or breathtaking pieces of digital art and design, Omniverse running on Studio laptops is the ultimate way to accelerate your creative workflows.\nUse AI to turn simple brushstrokes into realistic landscape images with the NVIDIA Canvas app. Create backgrounds quickly, or speed up your concept exploration so you can spend more time visualizing ideas. With Canvas\u2019 AI on your project team, the creative possibilities are endless.\nThe NVIDIA Broadcast app transforms your space into a home studio, upgrading webcams, microphones, and speakers into premium devices using the power of AI. Take your live streams, voice chats, and video conference calls to the next level with audio and video effects like noise removal, virtual background, and more.\nBuilt on Omniverse, RTX Remix allows modders to easily capture game assets, automatically enhance materials with powerful AI tools, and quickly create stunning RTX remasters with ray tracing and DLSS.\nBehind every NVIDIA GPU and every creator are NVIDIA Studio Drivers. Together with creative app developers, teams of testers and engineers are continually optimizing the way your NVIDIA hardware works with your favorite creative applications\u2014enhancing features, reducing the repetitive, and speeding up your workflow. Studio Drivers undergo extensive testing to deliver the performance and reliability you need so you can create at the speed of imagination.\nTo download the latest Studio drivers and exclusive creative apps like NVIDIA Omniverse and NVIDIA Broadcast, explore our tools and resources page.\nDownload GeForce Studio Driver\nDownload NVIDIA RTX/Quadro Studio Driver\nAmp up your creative side hustle with NVIDIA Studio and AI.\nNVIDIA\u2019s high-performance GPUs deliver the perfect canvas for creators to explore, create, and share their inspiring visions.\nArmando Ferreira reviews the Dell XPS 17 Studio Edition laptop, highlighting how NVIDIA Studio can help accelerate your video editing workflows.\nQuestions? Check out our FAQs to learn more.\nCreative tutorials, artist showcases, contests, and exclusive offers.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy\nMarch 22, 2022\nAt GTC: NVIDIA RTX Professional Laptop GPUs Debut, New NVIDIA Studio Laptops, a Massive Omniverse Upgrade and NVIDIA Canvas Update\nMarch Studio Driver optimizes NVIDIA Omniverse, Canvas, Blender Cycles and popular creative apps.\nRead More >\nNVIDIA Omniverse Upgrade Delivers Extraordinary Benefits to 3D Content Creators\nExplore new updates to Omniverse Apps, connectors, cloud collaboration, and enter the #MadeInMachinima contest.\nFebruary 1, 2022\nFebruary Studio Driver Adds Support for NVIDIA RTX 3080 Ti and 3070 Ti Studio Laptops\nPerformance Increase to Redshift RT Renderer, Exclusive to RTX GPUs, Elevates 3D Content Creation.\nBenefits\nModel and render large 3D scenes in real-time and create complex animations seamlessly with GPU-accelerated apps like Autodesk 3ds Max, Maya, Maxon Cinema 4D, and Blender.\nWith RTX GPUs, accelerated ray tracing lets you visualize your photorealistic materials as you create them in Autodesk Arnold, Chaos Group V-Ray, OTOY OctaneRender, Redshift by Maxon, and Blender Cycles. Learn more about NVIDIA Studio\nExperience lag-free interaction and massive speed boosts with RTX GPU-accelerated ray tracing, AI-enhanced denoising and frame-boosting DLSS 3. Learn more about NVIDIA Studio\nConnect your 3D apps, collaborate with others, and use AI tools with NVIDIA Omniverse. Learn more about NVIDIA Omniverse\nAccelerated Apps\nAutodesk Arnold\nAutodesk Maya\nAutodesk 3ds Max\nAdobe Stager\nBlender Cycles\nMaxon Cinema 4D\nDaz Studio\nNVIDIA Iray\nKeyshot\nUnity\nUnreal Engine\nOTOY OctaneRender\nRedshift by Maxon\nSketchup\nAdobe Sampler\nAdobe Designer\nAdobe Painter\nChaos Group V-Ray\nOctane Render\nSee All\n- Miki Bencz, Artstation.com\nAutodesk Arnold With Maya\nLaptopRender up to 5.9X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11. Maya with Arnold 2023 (7.2.1) renderer performance measures render time of the NVIDIA SOL 3D model.\nDesktop Render up to 6.4X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. Maya with Arnold 2023 (7.2.1) renderer performance measures render time of the NVIDIA SOL 3D model.\nLaptopRender up to 2.3X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11. Blender 3.6 measures render time of various scenes using Blender OpenData benchmark with the OptiX render engine.\nDesktopRender up to 3.4X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. Blender 3.6 measures render time of various scenes using Blender OpenData benchmark with the OptiX render engine.\nLaptopRender up to 4X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11. Render time of various scenes with OctaneRender with RTX.\nDesktopRender up to 4X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. Render time of various scenes with OctaneRender with RTX.\nDemo Videos\nIntelligently track objects and crop landscape video to social media-friendly aspect ratios fast with GPU-accelerated AI Auto Reframe in Adobe Premiere Pro, and export video up to 5X faster with NVIDIA hardware encoding.\nPlay back and edit ultra-high resolution video smoothly without pre-caching or generating proxies in Adobe Premiere Pro, Blackmagic Resolve, REDCINE-X PRO, and more. Learn more about NVIDIA Studio\nUse Auto color, Shot match, and RTX GPU-accelerated color grading to get to the perfect color in Blackmagic Resolve. Learn more about NVIDIA Studio\nAdobe After Effects\nREDCINE-X PRO\nAdobe Premiere Pro\nVegas Pro\nBlack Magic Design\nBlackmagic Resolve\n- Phil Holland, Director and Cinematographer, phfx.com\nLaptopEdit video up to 34% faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.Adobe Premiere Pro 24.1 (Dec 2023) performance measures various GPU-accelerated effects, including Lumetri Color, Gaussian Blur, Sharpen, and others.\nDesktopEdit video up to 28% faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. Adobe Premiere Pro 24.1 (Dec 2023) performance measures various GPU-accelerated effects, including Lumetri Color, Gaussian Blur, Sharpen, and others.\nDaVinci Resolve\nLaptopApply AI effects up to 2.6X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.DaVinci Resolve 18.6 performance measures time to apply various AI effects such as Magic Mask, Depth Map, Speed Warp, etc.\nDesktopApply AI effects up to 2.6X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. DaVinci Resolve 18.6 performance measures time to apply various AI effects such as Magic Mask, Depth Map, Speed Warp, etc.\nCapCut\nLaptopExport videos up to 2.6X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.CapCut measures time to export various video file formats at 4K FPS 30, including AV1, HEVC, and H.264.\nDesktopExport videos up to 2.1X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. CapCut measures time to export various video file formats at 4K FPS 30, including AV1, HEVC, and H.264.\nAccelerate Adobe Photoshop Lightroom Classic\u2019s high-resolution image rendering in the library panel and experience near-zero delay in the develop module for image adjustments on 4K and 5K displays.\nRapidly enhance and style your images with 30+ GPU-accelerated features and effects such as Select and Mask, Camera RAW, Blur Gallery, and Smart Sharpen in Adobe Photoshop. Learn more about NVIDIA Studio\nAutomatically give your RAW images crisper detail, better color rendering, and fewer artifacts using the RTX-accelerated AI \u201cEnhance Details\u201d feature in Adobe Photoshop Lightroom Classic. Learn more about NVIDIA Studio\nAdobe Photoshop\nAdobe Photoshop Lightroom\n- Gavin Strange, jam-factory.com\nON1 Resize AI LaptopUpRes your photos up to 4.1X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.ON1 Resize AI measures time to apply super resolution effect to a batch of photos.\nAdobe PhotoshopDesktopON1 Resize AI UpRes your photos up to 5.1X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. ON1 Resize AI measures time to apply super resolution effect to a batch of photos.\nQuickly interact and zoom in and out of complex vector graphics smoothly and effortlessly, thanks to GPU-acceleration in Adobe Illustrator.\nEasily use over 30 GPU-accelerated Adobe Photoshop filters and effects.\nInstantly visualize your 2D art in photorealistic 3D with RTX GPU-accelerated rendering in Adobe Stager. Learn more about NVIDIA Studio\nAdobe Illustrator\nCorelDRAW\nCorel Photo-Paint\n- Joey Camacho, RawandRendered.com\nAdobe PhotoshopLaptopApply AI effects up to 13% faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.Adobe Photoshop performance measures time to complete super resolution feature.\nAdobe PhotoshopDesktopApply AI effects up to 18% faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. Adobe Photoshop performance measures time to complete super resolution feature.\nExperience super smooth interactions with your creations using GPU-accelerated viewports in Autodesk Revit, Sketchup, Rhino, and Twinmotion.\nInteract with physically accurate photorealistic walkthroughs smoother than ever with GPU-accelerated renderers using Unreal Engine and Unity.\nDynamically view massive structures and environments in brilliantly rendered virtual reality with RTX GPU-accelerated ray tracing in Enscape. Learn more about NVIDIA Studio\nAutodesk Revit\nEnscape\nTwinmotion\nRhino\nChaos V-Ray\n- Leo Chou, tcimage3d.wixsite.com\nV-Ray LaptopRender up to 6.9X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.V-Ray 5 Benchmark measures render performance on various scenes.\nDesktopRender up to 9X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. V-Ray 5 Benchmark measures render performance on various scenes.\n\u2018NVENC\u2019 is a dedicated section of your GPU for encoding video, lifting the strain from your CPU. Run your games or show your creativity and deliver a show-stopping broadcast. Learn more\nNVIDIA RTX GPUs offer broadcasters top stream image quality and maximum performance thanks to NVIDIA\u2019s dedicated hardware encoder. Learn more about NVIDIA Studio\nThe NVIDIA Broadcast app upgrades your livestreams, voice chats, and video calls with powerful AI effects like noise removal and virtual background. Learn more\nOBS Studio\nDiscord\nStreamlabs\nXSplit Broadcaster\nTwitch Studio\nBroadcasting\nOBS StudioLaptop Up to 55% more FPS while live streaming.\nPerformance testing conducted by NVIDIA in December 2023 RTX 40 Series GPUs and Intel Core i7 12700H, RTX 30 Series GPUs and Intel Core i7 12700H. NVIDIA Driver 546 Windows 11. Games running at 1440p high Settings. OBS 30 capturing gameplay and webcam and encoding at 1080p60 6Mbps.\nDesktopUp to 50% more FPS while live streaming.\nPerformance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K with UHD 770, and 32GB RAM. NVIDIA Driver 521.58, Windows 11. Games running at 4K high settings. OBS 30 capturing gameplay and webcam and encoding at 1080p60 6Mbps.\nAV1 QualityDesktopHigher video quality with GeForce RTX 40 Series.\nPerformance testing conducted by NVIDIA in September 2022 with desktops equipped with Intel Core i9-12900K with UHD 770, and 32GB RAM. NVIDIA Driver 521.58, Windows 11. Encoding quality is measured as BD-SNR using NVENC 7th Gen with H.264, and NVENC 8th Gen with AV1, both using P7 (max quality) preset.",
    "https://www.nvidia.com/en-us/networking/interconnect/": "800 gigabits per second (Gb/s) and 400Gb/s cables and transceivers are used for linking Quantum-2 InfiniBand and Spectrum-4 SN5600 Ethernet switches together and with ConnectX-7 network adapters, BlueField-3 DPUs, and NVIDIA DGX\u2122 H100 GPU systems. The product line consists of direct-attach cables (DAC) reaching up to 3 meters (m), linear active copper cables from 3m to 5m, multimode optics to 50m, and single-mode optics to 100m, 500m, and 2 kilometers (km). Switches only use twin-port octal small form factor pluggable (OSFP) connectors. ConnectX-7 uses both OSFP and QSFP112, and BlueField-3 uses QSFP112 only.",
    "https://www.nvidia.com/en-us/geforce/tags/?tag=nvidia-dlss": "NVIDIA Home\nNVIDIA Home\nMenu\nMenu icon\nMenu\nMenu icon\nClose\nClose icon\nClose\nClose icon\nClose\nClose icon\nCaret down icon\nAccordion is closed, click to open.\nCaret down icon\nAccordion is closed, click to open.\nCaret up icon\nAccordion is open, click to close.\nCaret right icon\nClick to expand\nCaret right icon\nClick to expand\nCaret right icon\nClick to expand menu.\nCaret left icon\nClick to collapse menu.\nCaret left icon\nClick to collapse menu.\nCaret left icon\nClick to collapse menu.\nShopping Cart\nClick to see cart items\nSearch icon\nClick to search\nSkip to main content\nArtificial Intelligence Computing Leadership from NVIDIA\nMain Menu\nProducts\nHardware\nSoftware\nGaming and Creating\nGeForce Graphics Cards\nLaptops\nG-SYNC Monitors\nStudio\nSHIELD TV\nRTX AI PCs\nLaptops and Workstations\nLaptops\nNVIDIA RTX in Desktop Workstations\nNVIDIA RTX in Professional Laptops\nNVIDIA RTX-Powered AI Workstations\nCloud and Data Center\nOverview\nGrace CPU\nDGX Platform\nEGX Platform\nIGX Platform\nHGX Platform\nNVIDIA MGX\nNVIDIA OVX\nDRIVE Sim\nNetworking\nOverview\nDPUs and SuperNICs\nEthernet\nInfiniBand\nGPUs\nGeForce\nNVIDIA RTX / Quadro\nData Center\nEmbedded Systems\nJetson\nDRIVE AGX\nClara AGX\nApplication Frameworks\nAI Inference - 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Triton\nIO Acceleration\nNetworking\nVirtual GPU\nApps and Tools\nData Center\nGPU Monitoring\nNVIDIA Quadro Experience\nNVIDIA RTX Desktop Manager\nResources\nData Center & IT Resources\nTechnical Training and Certification\nEnterprise Support\nDrivers\nSecurity\nProduct Documentation\nForums\nResearchers\nNVIDIA Research Home\nResearch Areas\nAI Playground\nVideo Highlights\nCOVID-19\nNGC Catalog\nTechnical Training\nStartups\nNews\nDeveloper Blog\nOpen Source Portal\nCambridge-1 Supercomputer\n3D Deep Learning Research\nRoboticists\nProducts\nAI Training - DGX\nEdge Computing - EGX\nEmbedded Computing - Jetson\nSoftware\nRobotics - Isaac ROS\nSimulation - Isaac Sim\nTAO Toolkit\nVision AI - Deepstream SDK\nEdge Deployment Management\nSynthetic Data Generation - Replicator\nUse Cases\nHealthcare and Life Sciences\nManufacturing\nPublic Sector\nRetail\nRobotics\nMore >\nResources\nNVIDIA Blog\nRobotics Research\nDeveloper Blog\nTechnical Training\nStartups\nStartups\nShop\nDrivers\nSupport\nGeForce\nProducts\nGraphics Cards & Desktops\nRTX 40 Series\nRTX 4090\nRTX 4080 Family\nRTX 4070 Family\nRTX 4060 Family\nRTX 30 Series\nRTX 20 Series\nGTX 16 Series\nLaptops\nRTX 40 Series Laptops\nRTX 30 Series Laptops\nG-SYNC Monitors\nGeForce NOW Cloud Gaming\nRTX AI PCs\nGames & Tech\nDLSS & Ray Tracing\nDLSS\nRTX Games\nArchitecture\nNVIDIA Ada Lovelace Architecture\nMax-Q\nGaming\nGame Ready Drivers\nReflex\nG-SYNC\nVR\nStudio Creator Tools\nStudio\nNVIDIA Encoder\nBroadcast App\nRTX Remix\nOmniverse\nCanvas App\nGeForce Experience\nDrivers\nNews\nSupport\nShop\nProducts\nGraphics Cards & Desktops\nLaptops\nG-SYNC Monitors\nGeForce NOW Cloud Gaming\nRTX AI PCs\nGames & Tech\nDLSS & Ray Tracing\nArchitecture\nGaming\nStudio Creator Tools\nGeForce Experience\nDrivers\nNews\nSupport\nShop\nProducts\nProducts\nGraphics Cards & Desktops\nGraphics Cards & Desktops\nRTX 40 Series\nRTX 4090\nRTX 4080 Family\nRTX 4070 Family\nRTX 4060 Family\nRTX 30 Series\nRTX 20 Series\nGTX 16 Series\nLaptops\nLaptops\nRTX 40 Series Laptops\nRTX 30 Series Laptops\nG-SYNC Monitors\nGeForce NOW Cloud Gaming\nRTX AI PCs\nGames & Tech\nGames & Tech\nDLSS & Ray Tracing\nDLSS & Ray Tracing\nDLSS\nRTX Games\nArchitecture\nArchitecture\nNVIDIA Ada Lovelace Architecture\nMax-Q\nGaming\nGaming\nGame Ready Drivers\nReflex\nG-SYNC\nVR\nStudio Creator Tools\nStudio Creator Tools\nStudio\nNVIDIA Encoder\nBroadcast App\nRTX Remix\nOmniverse\nCanvas App\nGeForce Experience\nDrivers\nNews\nSupport\nShop\nThis site requires Javascript in order to view all its content. 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    "https://www.nvidia.com/en-us/industries/media-and-entertainment/#developer": "AI-Enabled Content Creation, Distribution, and Consumption\nNew technologies are transforming the media and entertainment industry\u2014 AI-accelerated production pipelines deliver higher-quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.\nFor decades, NVIDIA has helped create and deliver award-winning content, and now it\u2019s redefining the future of M&E with state-of-the-art AI, hardware, software platforms, and networking solutions.\nHear from innovators and creators who are using NVIDIA GPUs to deliver captivating cinematic experiences. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX\u2122 All Stars.\nDiscover the power of AI, generative AI, virtual production, cloud-based workflows, and immersive graphics revolutionizing content creation, delivery, and consumption.\nAccelerate production pipelines with AI and real-time technologies.\nThe world's top film and television studios use NVIDIA technologies to power the most advanced, visually rich feature films and TV shows ever made. Discover how NVIDIA AI, RTX graphics, and state-of-the-art hardware and software platforms help make box office record-breakers, hit TV shows, and Academy Award-winning pictures possible.\nSolutions for immersive real-time graphics, IP video, and AI.\nNVIDIA technologies are helping broadcasters revolutionize how content is created, managed, distributed, and consumed. The latest enterprise-class NVIDIA GPUs, combined with NVIDIA networking technologies, enable all-new workflows for live broadcast. Gain new creative capabilities and deliver incredible viewer experiences with AI solutions and next-generation infrastructure.\nBuild brands, engage customers, and deliver insights with AI.\nConsumer behaviors are changing rapidly with the proliferation of high-performance connected devices. Agencies and corporate in-house creative teams must innovate with dynamic, experiential, and branded content that captivates and engages audiences in new ways. With NVIDIA GPUs, real-time technologies, and artificial intelligence, advertisers and brand leaders can create immersive real-time experiences while gaining much deeper consumer insights across all platforms.\nReal-time graphics, AI, virtualization, and data analytics solutions.\nNVIDIA RTX enables gaming companies to create breathtaking, interactive worlds with performance that exceeds gamers\u2019 expectations. Increasingly, game developers are making full use of virtualized production pipelines, integrating real-time ray tracing, and leveraging AI for deeper customer insights.\nLearn from global leaders in media and entertainment about the impact of real-time graphics, AI, and high-performance networking.\nCourtesy of Sony Pictures Animation\nSony Pictures Animation developed FlixiVerse, an app built on Omniverse Enterprise, allowing 2D artists to accelerate creative workflows with more iterations and easier transitions into 3D environments. See how they leveraged OpenUSD and Nucleus\u2019 auto-updating capabilities to give their artists greater control in pre-production.\nHear from innovators and creators across the M&E industry who are using RTX solutions to deliver captivating cinematic experiences in film and television. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX All Stars.\nRegistration Required\nImage courtesy of WPP\nThe world\u2019s largest marketing services organization is the first to launch automotive marketing services on Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nImage courtesy of V\u016b\nFrom powering LED Volumes and artist workstations to enabling AI and Generative AI workflows, the NVIDIA RTX\u2122 5000 Ada Generation GPU gives V\u016b the power and reliability to unleash the full potential of creative content.\nImage courtesy of V\u016b\nBroadcasters can automatically generate videos with text and develop lifelike virtual humans with Hour One\u2019s solutions, powered by NVIDIA Technologies.\nThe sheer power provided by the new RTX 6000 Ada GPUs has had a massive impact on how we interact with Neural Radiance Fields\u2026 What NVIDIA and HP have done not only makes existing graphically demanding tasks even faster, but it also unlocks a new chapter in real-time workflows that was simply not possible until now.\n\u2014 Landis Fields, Real-Time Principal Creative, Industrial Light & Magic\nThe NVIDIA RTX 6000 Ada Generation GPU is one step ahead of our evolving real-time pipeline for live-action filmmakers. It's adding efficiency, ease, and, more importantly, creative power directly to filmmakers.\n\u2014 Rapha\u00ebl Goudin, Virtual Production Supervisor, Versatile Media Ltd.\nNVIDIA continues to deliver solutions that light the path forward for an industry in transition, easing the adoption of the latest standards, and bringing flexibility and scalability to the broadcast market.\nNew Omniverse platform updates, connections to Adobe Firefly, and Ada-Generation systems to accelerate interoperable 3D workflows and industrial digitalization.\n20th Century Studios\nThe Academy Award nominations are in\u2014and for the 15th year in a row\u2014NVIDIA technologies worked behind the scenes of every film nominated for Best Visual Effects.\nExplore a hub of SDKs, resources, and news for developers working in the Media and Entertainment industry.\nFeatured\nSee how NVIDIA and our partners are helping the industry accelerate their production pipelines, deliver higher quality content, enhance live entertainment, and optimize distribution and monetization.\nVideos\nDevelop custom 3D pipelines and simulate large-scale, physically accurate virtual worlds with NVIDIA Omniverse Enterprise.\nStreamline building a state-of-the-art session-based recommender pipeline with this new free hands-on lab.\nThis session will walk you through what Universal Scene Description (USD) is, how assets are constructed with it, and why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nHelp us inspire the next generation by joining the NVIDIA Partner Network (NPN).\nOur experts can help your business unlock its potential.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/#nav-lvl1-tab1": "June 2, 7 p.m. Taiwan Time.\nAI\nJoin NVIDIA Founder and CEO Jensen Huang and SAP CEO Christian Klein on June 4 as they discuss the many ways AI can help transform your business.\nLearn how to manage AI inference at scale through real-world case studies and best practices for ensuring data security, compliance, and innovation.\nDon\u2019t miss the opening keynote when NVIDIA Founder and CEO Jensen Huang joins Snowflake CEO Sridhar Ramaswamy to discuss what the future holds in the era of AI.\nImage Courtesy of Foxconn\nImage courtesy of Accuray\nNVIDIA AI models and microservices advance edge computing, route mapping, and app performance.\n*In-person registration is required.\nLatest AI performance gains and features for RTX AI PCs unveiled at Microsoft Build.\nImage courtesy of: JIYUE\nThe Dawn of a New Industrial Revolution\nBring Out the Best in Your Business With Jensen Huang at SAP Sapphire\nWebinar: Deploying Generative AI in Production\nJensen Huang Talks the Future of AI at Snowflake Data Cloud Summit\nNVIDIA and Microsoft Deliver Optimized AI for Developers\nNew Performance Optimizations Supercharge NVIDIA RTX AI PCs\nAll the informative and inspiring sessions are now available to watch at your own convenience. Don\u2019t miss this opportunity to discover the latest breakthroughs from the conference for the era of AI. Watch On Demand Now\nAI is powering change in every industry. From generative AI and speech recognition to medical imaging and improved supply chain management, AI is providing enterprises the compute power, tools, and algorithms their teams need to do their life's work.\nQuick Links\nJoin NVIDIA Founder and CEO Jensen Huang and SAP CEO Christian Klein on June 4 as they discuss the ways AI can help bring out the best in your business.\nLearn how to manage AI inference at scale through real-world case studies and best practices.\nThe Dell AI Factory with NVIDIA is turbocharging generative AI adoption for enterprises.\nJensen Huang joins Snowflake CEO Sridhar Ramaswamy to discuss the future of AI.\nNVIDIA\u2019s founder and CEO will join ServiceNow\u2019s president and COO on stage for a live keynote.\nNew features include support for voice and image search, plus new models.\nThis supercomputing hub is a digital sandbox where students can apply AI in the classroom.\nA new partnership will bring essential AI skills to workforces in the U.S. and Japan.\nExplore new enterprise-grade building blocks to create and deploy custom AI applications.\nNVIDIA RTX\u2122 and NVIDIA Omniverse\u2122 deliver the performance to help professionals, creators, developers, and students worldwide enhance creative workflows and build, operate, and connect metaverse applications.\nSoftServe\nOpenUSD-powered virtual factory solutions help enhance manufacturing workflows for leading German automotive technology company.\nSiemens, HD Hyundai\nOpenUSD integration into Siemens\u2019 technologies is powering a new wave of industrial digitalization.\nThe latest news and demos unveiled at GTC highlight the potential of OpenUSD and Omniverse Cloud APIs in transforming creative workflows.\nSiemens, Ansys, Cadence, Hexagon, Microsoft Azure, Rockwell Automation, Trimble and more adopt Omniverse technologies.\nTrain AI agents to optimize synchronization between robots and humans within their environment, enabling seamless navigation through unpredictable or complex events.\nSiemens is driving a new era of industrial digitalization with Omniverse and generative AI integration across the Siemens Xcelerator portfolio.\nKatana, Nissan\nNew Omniverse Cloud technologies let developers beam interactive, OpenUSD industrial digital twins into spatial computing.\nCadence\nThe NVIDIA GB200 NVL72 system digital twin is supported by Ansys, Cadence, Motivair, and more.\nAnsys, Keysight, Nokia, and Samsung are among the first on NVIDIA 6G Research Cloud platform.\nHigh-performance computing (HPC) is the ability to process data and perform complex calculations at high speeds. HPC is one of the most essential tools fueling the advancement of computational science.\nSupercomputers are incorporating NVIDIA Grace Hopper and CUDA-Q to advance quantum research.\nThe U.S. National Science Foundation has launched the National Artificial Intelligence Research Resource pilot, with NVIDIA as a major contributor.\nEarth-2 provides a path to simulate and visualize the global atmosphere at unprecedented speed and scale.\nNVIDIA and Quantum Machines debut DGX\u2122 Quantum-integrated architecture using the open-source CUDA\u00ae Quantum software platform.\nA new ebook shares best practices for system design, current trends, and expert insights.\nNVIDIA Clara\u2122 Holoscan, BlueField\u00ae DPUs, and MetroX\u00ae-3 enable streaming processing at the edge.\nNVIDIA Omniverse\u2122 lets designers, builders, and operators use the power of virtual worlds.\nThe National Oceanic and Atmospheric Administration has selected Lockheed Martin and NVIDIA for the project.\nNVIDIA GeForce RTX\u2122 powers the world\u2019s fastest GPUs and the ultimate platform for gamers and creators. Enjoy beautiful ray tracing, AI-powered DLSS, and much more in games and applications, on your desktop, laptop, in the cloud, or in your living room.\nDelivering a quantum leap in performance and AI-powered graphics\nOver 500 RTX games and apps are now powered by DLSS, ray tracing & AI-powered technologies. Check out the latest.\nWith NVIDIA DLSS 3 and Reflex.\nLearn more about the world's fastest laptops for gamers and creators.\nAvailable now with DLSS 3.5.\nLearn more about the best displays that are rigorously tested for the highest standards.\nSee what\u2019s streaming this week on GeForce NOW.\nLearn about Twitch Enhanced Broadcasting, powered by GeForce RTX.\nExtraordinary artists, inspiring art, and creator news\u2014every week.\nFrom developing autonomous vehicles on NVIDIA DRIVE\u00ae to creating factory digital twins and retail experiences with NVIDIA Omniverse, our automotive solutions offer the performance and scalability to design, visualize, simulate, and create all types of future transportation.\nLeading automotive partners are adopting NVIDIA DRIVE\u00ae for their next-generation vehicles.\nLeading companies across the transportation industry count on NVIDIA DRIVE\u2122 Thor to advance their next-generation vehicles.\nForetellix\nThe new APIs deliver large-scale, high-fidelity, and physically based sensor simulations to accelerate autonomous vehicle development.\nFrom EV makers adopting NVIDIA DRIVE\u2122 Thor to Omniverse\u2122 Cloud APIs for simulation, come learn about the latest automotive announcements at GTC 2024.\nBYD\nLearn how generative AI developers are building intelligent AI assistants using NVIDIA\u2019s edge-to-cloud technology.\nNVIDIA partners are fusing the physical and digital worlds to redefine the automotive industry.\nExplore unique perspectives from industry leaders on how AI is shaping the future of transportation.\nWPP, Zerolight, Ford, and Lotus are embracing the interactive 3D platform.\nImage Courtesy of Li Auto\nLi Auto, Great Wall Motor, Xiaomi, and ZEEKR are adopting the NVIDIA DRIVE platform.\nVirtual factory and autonomous vehicle simulation engines hosted on Azure will streamline design, production, and validation.\nThe NVIDIA Jetson\u2122 and Isaac\u2122 platforms provide end-to-end solutions to develop and deploy AI-powered autonomous machines and edge computing applications across manufacturing, logistics, healthcare, smart cities, and retail.\nIntrinsic uses NVIDIA AI to advance robotic manipulation, showcasing leaps in robotic grasping.\nThe GR00T general-purpose foundation model will act as the mind of robots, making them capable of learning skills to solve a variety of helpful tasks.\nIntroducing new foundation models, a robot learning framework, AI workflow orchestration, and robot perception tools.\nThis powerful new cloud-native compute orchestration service delivers a single pane of glass for scheduling and managing autonomous machine workloads.\nJohnson & Johnson\nUsing NVIDIA AI and robotics to deliver real-time insights before, during, and after surgical procedures.\nNVIDIA introduces powerful microservices and APIs to bring edge AI to production faster than ever before.\nNVIDIA announces the most complete AI embedded software stack for robotics, vision AI, and edge applications.\nLearn how electronics giants tap into industrial automation with NVIDIA Metropolis for Factories.\nCheck out the rugged, power-efficient NVIDIA Jetson AGX Orin\u2122 Industrial system-on-module.\nThe company is accelerating robotics-based inspection in automotive and electronics manufacturing.\nFrom the cloud to the office to the data center to the edge, NVIDIA provides solutions that deliver breakthrough performance on enterprise AI and HPC workloads at any scale, driving business decisions in real time and resulting in faster time to value.\nNVIDIA AI models and microservices advance edge computing, route mapping, and app performance.\nSwitzerland\u2019s Alps Supercomputer and others will deliver 200 exaFLOPS to advance research.\nThe latest in accelerated compute and networking will boost performance for AI and beyond.\nNVIDIA H200 Tensor Core GPUs delivered the fastest inference performance on generative AI tests.\nDesigned for massive-scale AI and optimized for trillion-parameter-scale generative AI and GPU computing.\nPowering a new era of computing, the NVIDIA Blackwell platform has arrived.\nThe next-generation DGX SuperPOD processes massive trillion-parameter models for generative AI.\nThe NVIDIA GB200 NVL72 exascale computer enables real-time inference and training in a single rack.\nPowered by the NVIDIA Blackwell architecture, DGX B200 is a unified platform optimized for enterprise AI workloads.\nThe new simulation platform will help scientists advance quantum computing and algorithm research.\nNVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.\nWatch NVIDIA founder and CEO Jensen Huang deliver a live keynote sharing how the era of AI is driving a new industrial revolution across the globe.\nSee the AI breakthroughs driving the new industrial revolution.\nAccuray\nOur work is truly unique. Part science. Part art. Every breakthrough helps shape what\u2019s next.\nNVIDIA was named the world\u2019s most innovative company by Fast Company, while CEO Jensen Huang was elected to the U.S. National Academy of Engineering for helping to fuel the AI revolution.\nSee entrepreneur Kanjun Qiu and NVIDIA\u2019s Bryan Catanzaro discuss bridging the gap between imagination and automation at NVIDIA GTC.\nThanks to our employees, NVIDIA is once again one of the top places to work in the U.S., according to Glassdoor. Discover why it\u2019s like no place you\u2019ve ever worked.\nThe NVIDIA Partner Network honors industry leaders with \u2018Partner of the Year\u2019 awards.\nTe Hiku Media\u2019s uses NVIDIA NeMo toolkit for speech recognition.\nDiscover how the NVIDIA cuOpt route optimization engine helps with railway safety and manufacturing optimizations.\nLearn how Manikandan made the choice between two careers that involved chips: either cooking them or engineering them.\nSMS was acquired by NVIDIA Corporation of Santa Clara, CA in May 2022 and was dissolved as a separate corporate entity. NVIDIA is incorporating SMS technology into its Omniverse platform and OpenUSD. For legacy support content please refer to the following: SMLib and NLib.",
    "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/#nav-lvl1-tab1-lvl2-tab1": "3840x2160 Resolution, Highest Game Settings, DLSS Super Resolution Performance Mode, DLSS Frame Generation on RTX 40 Series, i9-12900K, 32GB RAM, Win 11 x64. All DLSS Frame Generation data and Cyberpunk 2077 with new Ray Tracing: Overdrive Mode based on pre-release builds.",
    "https://www.nvidia.com/en-us/design-visualization/industries/media-entertainment/#nav-lvl1-tab4-lvl2-tab7": "AI-Enabled Content Creation, Distribution, and Consumption\nNew technologies are transforming the media and entertainment industry\u2014 AI-accelerated production pipelines deliver higher-quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.\nFor decades, NVIDIA has helped create and deliver award-winning content, and now it\u2019s redefining the future of M&E with state-of-the-art AI, hardware, software platforms, and networking solutions.\nHear from innovators and creators who are using NVIDIA GPUs to deliver captivating cinematic experiences. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX\u2122 All Stars.\nDiscover the power of AI, generative AI, virtual production, cloud-based workflows, and immersive graphics revolutionizing content creation, delivery, and consumption.\nAccelerate production pipelines with AI and real-time technologies.\nThe world's top film and television studios use NVIDIA technologies to power the most advanced, visually rich feature films and TV shows ever made. Discover how NVIDIA AI, RTX graphics, and state-of-the-art hardware and software platforms help make box office record-breakers, hit TV shows, and Academy Award-winning pictures possible.\nSolutions for immersive real-time graphics, IP video, and AI.\nNVIDIA technologies are helping broadcasters revolutionize how content is created, managed, distributed, and consumed. The latest enterprise-class NVIDIA GPUs, combined with NVIDIA networking technologies, enable all-new workflows for live broadcast. Gain new creative capabilities and deliver incredible viewer experiences with AI solutions and next-generation infrastructure.\nBuild brands, engage customers, and deliver insights with AI.\nConsumer behaviors are changing rapidly with the proliferation of high-performance connected devices. Agencies and corporate in-house creative teams must innovate with dynamic, experiential, and branded content that captivates and engages audiences in new ways. With NVIDIA GPUs, real-time technologies, and artificial intelligence, advertisers and brand leaders can create immersive real-time experiences while gaining much deeper consumer insights across all platforms.\nReal-time graphics, AI, virtualization, and data analytics solutions.\nNVIDIA RTX enables gaming companies to create breathtaking, interactive worlds with performance that exceeds gamers\u2019 expectations. Increasingly, game developers are making full use of virtualized production pipelines, integrating real-time ray tracing, and leveraging AI for deeper customer insights.\nLearn from global leaders in media and entertainment about the impact of real-time graphics, AI, and high-performance networking.\nCourtesy of Sony Pictures Animation\nSony Pictures Animation developed FlixiVerse, an app built on Omniverse Enterprise, allowing 2D artists to accelerate creative workflows with more iterations and easier transitions into 3D environments. See how they leveraged OpenUSD and Nucleus\u2019 auto-updating capabilities to give their artists greater control in pre-production.\nHear from innovators and creators across the M&E industry who are using RTX solutions to deliver captivating cinematic experiences in film and television. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX All Stars.\nRegistration Required\nImage courtesy of WPP\nThe world\u2019s largest marketing services organization is the first to launch automotive marketing services on Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nImage courtesy of V\u016b\nFrom powering LED Volumes and artist workstations to enabling AI and Generative AI workflows, the NVIDIA RTX\u2122 5000 Ada Generation GPU gives V\u016b the power and reliability to unleash the full potential of creative content.\nImage courtesy of V\u016b\nBroadcasters can automatically generate videos with text and develop lifelike virtual humans with Hour One\u2019s solutions, powered by NVIDIA Technologies.\nThe sheer power provided by the new RTX 6000 Ada GPUs has had a massive impact on how we interact with Neural Radiance Fields\u2026 What NVIDIA and HP have done not only makes existing graphically demanding tasks even faster, but it also unlocks a new chapter in real-time workflows that was simply not possible until now.\n\u2014 Landis Fields, Real-Time Principal Creative, Industrial Light & Magic\nThe NVIDIA RTX 6000 Ada Generation GPU is one step ahead of our evolving real-time pipeline for live-action filmmakers. It's adding efficiency, ease, and, more importantly, creative power directly to filmmakers.\n\u2014 Rapha\u00ebl Goudin, Virtual Production Supervisor, Versatile Media Ltd.\nNVIDIA continues to deliver solutions that light the path forward for an industry in transition, easing the adoption of the latest standards, and bringing flexibility and scalability to the broadcast market.\nNew Omniverse platform updates, connections to Adobe Firefly, and Ada-Generation systems to accelerate interoperable 3D workflows and industrial digitalization.\n20th Century Studios\nThe Academy Award nominations are in\u2014and for the 15th year in a row\u2014NVIDIA technologies worked behind the scenes of every film nominated for Best Visual Effects.\nExplore a hub of SDKs, resources, and news for developers working in the Media and Entertainment industry.\nFeatured\nSee how NVIDIA and our partners are helping the industry accelerate their production pipelines, deliver higher quality content, enhance live entertainment, and optimize distribution and monetization.\nVideos\nDevelop custom 3D pipelines and simulate large-scale, physically accurate virtual worlds with NVIDIA Omniverse Enterprise.\nStreamline building a state-of-the-art session-based recommender pipeline with this new free hands-on lab.\nThis session will walk you through what Universal Scene Description (USD) is, how assets are constructed with it, and why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nHelp us inspire the next generation by joining the NVIDIA Partner Network (NPN).\nOur experts can help your business unlock its potential.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/self-driving-cars/partners/volvo-cars/": "Volvo Cars has been working with NVIDIA since 2016, integrating the high-performance, energy-efficient NVIDIA DRIVE\u00ae platform in its new models to deliver AI-assisted driving and safety features. These cutting-edge solutions feature advanced software developed both in-house and by Zenseact, Volvo Cars\u2019 autonomous driving software company.\nThis special 4-seater version of EX90, powered by the NVIDIA DRIVE Orin\u2122 compute platform, offers state-of-the-art technology for extraordinary performance and safety.\nVolvo Cars\u2019 all-electric vehicle is the first model powered by the high-performance NVIDIA DRIVE Orin\u2122 compute platform.\nAll roads to the future of autonomous, electric, and connected transportation run through one key innovation: software-defined, centralized computing.\nVolvo Cars\u2019 new fully electric flagship SUV will have industry-leading safety technology\u2013standard\u2013helping to save even more lives as the company sets a new benchmark for automotive safety.\nVolvo Cars is extending its long-held legacy of safety far into the future. The global automaker announced during the GTC keynote that it will use NVIDIA DRIVE Orin to power the autonomous driving computer in its next-generation cars.\nDRIVE AGX Xavier\u2122 is a highly integrated AI car computer that enables Volvo to streamline development of self-driving capabilities while reducing total cost of development and support. The initial production release will deliver Level 2+ assisted driving features, going beyond traditional advanced driver assistance systems.\nNVIDIA automotive solutions empower automakers, tier 1 suppliers, startups, and research institutions to transform the future of transportation.\nThis form is for automotive inquires only. For other inquiries, please click here.\nOptional\nPlease provide a brief description of your product and business model.\nWhere do you stand within your product development? Please include the list of NVIDIA products you are using.\nHow can NVIDIA help you achieve your goals?\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/studio/laptops-desktops/#top-intro": "NVIDIA Studio Laptops and Desktops The Ultimate Creative Tools for Accelerating Your Ideas Watch Video",
    "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/#page-content": "3840x2160 Resolution, Highest Game Settings, DLSS Super Resolution Performance Mode, DLSS Frame Generation on RTX 40 Series, i9-12900K, 32GB RAM, Win 11 x64. All DLSS Frame Generation data and Cyberpunk 2077 with new Ray Tracing: Overdrive Mode based on pre-release builds.",
    "https://www.nvidia.com/en-us/geforce/news/dlss-3-ea-sports-f1-24-dlss-2-capes/?nvid=nv-int-drvr-712013#nav-lvl1-tab4-lvl2-tab6": "F1\u00ae 24 is available from today, May 28th, for players of the digital-exclusive Champions Edition and EA Play Pro subscribers, with the general release following on May 31st. When GeForce RTX gamers take to the track, they\u2019ll discover day-one support for a massive range of experience-enhancing technology, including DLSS, DLAA and Reflex.\nDLSS enables all GeForce RTX users to accelerate frame rates, while DLAA allows gamers with high-performing systems to use a native resolution image to maximize image quality.\nNVIDIA Reflex is a game-changing technology that reduces system latency on GeForce graphics cards and laptops so your actions occur quicker, giving you a competitive edge in multiplayer races, and making single-player races more responsive and enjoyable.\nAdditionally, GeForce RTX gamers can leverage the power of their GPU\u2019s dedicated Ray Tracing Cores to get the highest possible frame rates when activating F1\u00ae 24\u2019s ray-traced effects. Ray-Traced Reflections enhance the realism and fidelity of cars, glass, water and other suitably reflective surfaces. Ray-Traced Shadows enable every winglet and flourish on an F1\u00ae car to be accurately shadowed and self-shadowed, further heightening realism and immersion. And the new Ray-Traced Dynamic Diffuse Global Illumination setting takes trackside lighting to the next level, and enhances the quality of ray-traced reflections and shadows.\nActivating all three ray-traced effects tests the mettle of any system, but with DLSS you can race with both excellent frame rates and incredible image quality. On GeForce RTX 40 Series desktop graphics cards, enabling DLSS 3 multiples frame rates by an average of 2X at 4K, with every ray-traced effect and other option maxed out. That enables owners of the GeForce RTX 4070, and faster cards, to play F1\u00ae 24 at its very best. And for owners of the fastest cards, they can enjoy super fast, super smooth 120 frames per second-plus racing.",
    "https://www.nvidia.com/en-us/geforce/laptops/#nav-lvl1-tab4-lvl2-tab5": "NVIDIA GeForce RTX\u2122 40 Series laptops supercharge studies for STEM students. Powerful NVIDIA GPUs accelerate the top student applications in engineering, architecture, computer science, data science, economics, and more. With GeForce RTX, students can get out of the computer lab and work from anywhere, finish coursework faster, and study, create and play, all on the same laptop",
    "https://www.nvidia.com/en-us/networking/ethernet-switching/#nav-lvl1-tab4-lvl2-tab1": "Data Centers have changed. APIs have replaced CLIs, and the scope and scale needed to manage cloud and AI-scale networks make simulation, automation, and validation a necessity. Consisting of Air, Cumulus Linux, and NetQ, the NVIDIA Spectrum Ethernet software stack is purpose-built for operational innovation. Combining network digital twins with powerful, simple automation and actionable visibility, Spectrum Ethernet accelerates Day 0, Day 1, and Day 2 ops for faster time to value and better business outcomes. In this session, learn how to leverage Air, Cumulus, and NetQ for your mission-critical cloud networking.",
    "https://www.nvidia.com/en-us/data-center/solutions/mlops/#nav-lvl1-tab4-lvl2-tab1": "The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates data science pipelines and streamlines development and deployment of production AI, including generative AI, computer vision, speech AI, and more. With over 100 frameworks, pretrained models, and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI and deliver enterprise-ready MLOps with enterprise-grade security, reliability, including API stability, and support.",
    "https://www.nvidia.com/en-us/design-visualization/workstations/": "NVIDIA RTX and NVIDIA Quadro RTX powered workstations bring the latest in real-time ray tracing, artificial intelligence, and advanced graphics capabilities to millions of design and visualization professionals. And with NVIDIA RTX Virtual Workstation software, professionals can access NVIDIA RTX accelerated workstations from on prem data centers or the cloud for the flexibility to work from anywhere. Get the edge to create revolutionary products, design energy-efficient buildings, and produce groundbreaking visual effects with a workstation that lets you work better, smarter, and faster than ever before.",
    "https://www.nvidia.com/en-us/on-demand/session/gtcspring23-s51616/?playlistId=playList-f92589ce-b958-471e-81ad-22c6db8d102c": "Artificial Intelligence Computing Leadership from NVIDIA\nMy Account\nLog In\nLog Out\nEN\nEN\n\u7b80\u4e2d\n\u65e5\u672c\u8a9e\n\ud55c\uad6d\uc5b4\n\u7e41\u4e2d\nNVIDIA On-Demand\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nThis site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. 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    "https://www.nvidia.com/en-us/studio/professional-workstations/#nav-lvl1-tab4": "Whether it's design, animation, video editing, or VFX \u2013 as an artist you are defined by your creativity and an unapologetic obsession for your craft. NVIDIA Studio desktop and mobile workstations are engineered to let you focus on your ideas, not your system. Packing the ultimate in performance, massive memory, and exclusive professional features, you have everything you need to deliver your finest work yet.\nWhen it comes to mission-critical work, performance is nothing without reliability. NVIDIA RTX workstations excel in both areas thanks to their meticulous design and innovation at every level. Expect supercharged performance from pro-grade graphics cards, CPUs, and ECC RAM while software application certifications, system optimizers, and enterprise-grade support provide you the confidence to work unhindered.\nNVIDIA Studio workstations feature NVIDIA RTX GPUs for professional graphics and compute performance. Thanks to up to 16GB of ECC memory in mobile systems and up to 48GB of ECC memory in a desktop, even the most complex projects are handled with ease. Plus, with NVIDIA RT Cores and Tensor Cores for real-time ray tracing and AI-acceleration, you can render photorealistic images, edit 8K video, color grade, or produce your next live broadcast spectacularly fast.\nWorking across multiple design apps simultaneously is an essential part of many creative workflows, which is why massive memory capacity matters. NVIDIA RTX delivers enough ultra-fast graphics memory and power letting you load huge project files, run all your creative apps at the same time, and still enjoy a smooth interactive design experience. No more worrying about performance and system stability, even the largest projects and the tightest deadlines are delivered effortlessly and stress-free.\nRender large scene files with ease in the application viewport with RTX-accelerated rendering and AI-denoising. Enhance performance and image quality with DLSS in select applications.\nBuild entire worlds in 3D with high-resolution textures and geometry with massive graphics memory capacities. Deliver complex renders free of errors with ECC memory and large GPU framebuffers\u2014up to 48GB from a desktop or server or up to 16GB from a laptop.\nCapture imaginations with large scale visualizations. Create a single, unified projected image with up to 32 high-resolution video panels using NVIDIA Mosaic multi-display technology with bezel correction. Overlap, blend, and adjust an image across up to 16 curved displays or surfaces for a pixel-perfect result with NVIDIA\u2019s Warp and Blend SDK.\nFor when you need to go big, NVIDIA Quadro Sync lets you synchronize multiple Quadro or NVIDIA RTX desktop GPUs with displays or projects to create large-scale visualizations.\nGPUDirect for Video accelerates your workflow by avoiding unnecessary system memory copies and CPU overhead. Your data goes straight to graphics card memory with GPUDirect for Video.\nCreate a personal render farm with a high-density multi-GPU workstation. NVIDIA RTX GPUs feature a unique blower design that gives you maximum flexibility for the entire system design. and are datacenter-tested and certified, giving you the reassurance and reliability for rack-mounted workstation and server solutions.\nArnold Standalone render done in time of scene, time (seconds).\nV-Ray 5.0 Benchmark \u2013 CUDA \u2013 Vpaths Score.\nBlender Cycles Open Data CLI OPTIX Geomean (Score \u2013 Samples/Minute).\nPerformance may vary by system, application workflow, or scene. Tests run on 13th Gen Intel(R) Core(TM) i7-13700H. 64GB system memory, NVIDIA Driver 528.07 MSHybrid. Apple MacBook Pro 16\" M2 Max SoC (12-Core CPU 3.5GHz, 38-Core GPU). GPU TGP: RTX 5000: (150W), RTX 4000: (115W), RTX 3500, RTX 3000: (80W), RTX 2000: (35W).\nNever run out of graphics memory again. With up to 48GB of memory from the desktop, or 16GB from a laptop, edit and grade up to 8K high-resolution video in real-time with more layers, transitions, and effects.\nDo more with video using AI or Machine Learning like AI up-res, auto-color matching, auto-reframing, Z-depth map extraction from faces, and much more.\nManage and customize your workspace for specific tasks like video editing and color grading with nView Desktop Management Software.\nAccelerate your workflow by avoiding unnecessary system memory copies and CPU overhead. Copy data straight to graphics card memory with GPUDirect for Video.\nDaVinci Resolve dual encoder test H265 - 8K time (s).\nRedCine-X Pro Geomean (FPS).\nAdobe Premiere Pro total encode time (2 tests) Total Time (Seconds).\nCreate compelling photorealistic renderings faster with lifelike reflections, shadows, and lighting with ray-tracing acceleration.\nHarness the power of artificial intelligence with features like DLSS and AI-accelerated denoising to remain in the creative flow while quickly exploring different design options.\nWalk through large 3D models at lifelike scale in virtual reality to view designs from all angles and viewpoints.\nHitting memory limits has become a thing of the past with up to 48GB of GPU memory in desktop workstations, or up to 16GB of GPU memory from a laptop.\nHave the creative freedom to use multiple applications simultaneously, with large GPU memory that enables simultaneous usage between graphic design, photography and 3D applications like Adobe Photoshop, Substance Painter, Lightroom and Dimension.\nUse the power of AI to enhance image quality, add effects, edit faster, and even create 3D assets from 2D images.\nCreate realistic, ray-traced 3D assets from high-quality photos, bringing real-world materials and objects into the virtual world.\nAdobe Photoshop - Super Resolution \u2013 BatchTimeSave Total Time (Seconds).\nThe future of advertising is becoming more immersive than ever. Create hyper-realistic virtual and augmented realities using high-performance professional graphics cards in both desktop and mobile workstations.\nFrom digital signage to massive video walls and immersive domes capture imaginations with the largest, most engaging experiences. Leverage features like Mosaic multi-display, warp and blend, and Quadro Sync.\nIn the broadcast game, time is money. NVIDIA RTX graphics cards bring you the best in AI, on-air graphics, virtual sets and video editing, plus unrestricted video encoding sessions to ensure smooth operation when it matters most.\nFind the Perfect Professional RTX Studio Product for You\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/energy/#nav-lvl1-tab4-lvl2-tab7": "Deliver a reliable supply of lower-cost fuels and power, while optimizing energy efficiency.\nTo meet global demands, energy companies are turning to a software-defined approach to explore, produce, transport, and deliver lower-cost energy while pursuing net-zero emission goals. They\u2019re leveraging AI and high-performance computing (HPC) to reduce environmental impact from subsurface operations, automate manually intensive surface operations, and bring real-time intelligence to the grid edge.\nLearn how Shell used NVIDIA DGX\u2122 systems to determine salt boundaries in reservoir modeling, enable 4K iterative image reconstruction, test new designs for industrial plants, and drive advancements in sustainable new materials.\nSiemens Gamesa is optimizing their offshore wind farms for maximum power output at minimal cost using NVIDIA Omniverse\u2122 and NVIDIA Modulus. Find out how neural super-resolution accelerates simulation times from 40 days to 15 minutes.\nAccelerate reservoir simulation and seismic processing for fuel production.\nLearn how AI is accelerating reservoir simulation and seismic processing, enhancing pipeline monitoring, and protecting worker health and safety, while reducing emissions and environmental impact.\nBuild industrial and scientific digital twins for sustainability and safety.\nFind out how AI is being used to develop physically accurate industrial digital twins, scale renewable energy generation, simulate climate and weather, speed up computational fluid dynamics (CFD) workloads, and optimize industrial site efficiency.\nEnhance power generation, transmission, and distribution for grid resiliency.\nExplore the future of software-defined smart grids, including predictive maintenance of grid infrastructure, management of distributed energy resources, synthetic data generation of grid assets, outage scheduling, truck roll optimization, and utility contact center virtual assistants.\nLearn from industry leaders using AI to optimize processes, reduce risk, and trim costs.\nImage courtesy of BP.\nSee how BP achieved 35X runtime speedups by porting their production reverse time migration (RTM) code onto NVIDIA HGX\u2122 A100 and leveraging the cuFFT library.\n* Registration required.\nExplore how Chevron utilized NVIDIA IndeX\u00ae, a 3D volumetric interactive visualization SDK, in Microsoft Azure to streamline analysis of core samples\u2014in larger volumes and at higher resolution.\nStone Ridge Technology benchmarked their ECHELON reservoir simulation software on the NVIDIA Hopper GPU architecture, including the NVIDIA Grace Hopper Superchip, H100-NVL, and H100-PCIe. Learn how the company achieved up to 3.8x faster simulations with up to 25-million cell models.\nLearn how global energy companies such as Siemens Energy are building industrial digital twins to support predictive maintenance at power plants and how that could save the energy industry an estimated $1.7 billion a year.\nImage courtesy of Noteworthy AI.\nTake a look at FirstEnergy\u2019s onboard smart camera system\u2014developed by Noteworthy AI and powered by the NVIDIA\u00ae Jetson\u2122 edge AI platform\u2014which automatically monitors millions of utility poles and tens of millions of grid devices for maintenance.\nShell has ongoing work with NVIDIA: more realistic 3D reservoir models (e.g., dipping reservoir) for CO2 storage, layered geology with horizontal and vertical heterogeneity, computationally efficient Fourier neural operator (FNO)-based networks dealing with larger input datasets and providing acceptable predictions over longer time windows (hundreds of years), and the capability to build next-generation digital twin models of deep earth for climate change scenario (CCS) applications in real time with uncertainty assessment.\n\u2014 Pandu Devarakota, Principal Science Expert, Shell\nWe can examine the contribution of AI to the energy sector from three dimensions: energy forecasting, carbon capture, and predictive maintenance... AI algorithms are being used for energy forecasting, to predict energy demand, and to optimize economic value... AI can be used to reduce carbon emissions by analyzing data from multiple sources regarding weather, soil, and crop yield... to optimize our supply chain logistics and reduce our carbon footprint... AI can also help energy companies monitor the performance of their assets and equipment.\n\u2014 Nayef Otaibi, Vice President and Chief Digital Officer, Saudi Aramco\nWe will continue to collect data, not just on how our wind turbines operate, but also for weather forecasting, site planning, and other areas to optimize wind turbine sites. We're exploring augmented reality and extended reality as wind turbines are complicated machines with many types of failure modes. It's imperative to make sure the wind turbines operate safely and service technicians know how to do service repairs in the right way.\n\u2014 Lasse Lundberg Nowack, Vice President, Engineering Development Power Solutions, Vestas\nBy using synthetic data generation in NVIDIA Omniverse, our goal was to automatically create thousands of labeled photorealistic examples of various defects in grid assets. We are in the process of using real images and these synthetic images to train inspection models.\n\u2014 Ankush Agarwal, Director of Advanced Analytics, Exelon\nIn Oregon, we are experiencing the impacts of climate change firsthand and recognize the urgent need for innovation at the grid edge as we transition to a clean energy future. Investing in new technologies for the grid is a key strategy for PGE to achieve its climate goals and provide customers with clean, affordable, and resilient energy.\n\u2014 Ananth Sundaram, Senior Manager of Integrated Grid, Portland General Electric (PGE)\nSystems powered by NVIDIA A100 80GB Tensor Core GPUs demonstrate superb performance uplifts compared to CPU performance running SLB\u2019s INTERSECT high-resolution reservoir simulator.\nLearn how Shearwater achieved 10x speed-up of Reverse Time Migration (RTM) and Kirchhoff algorithms, powered by NVIDIA GPUs, to lower total power consumption for compute-intensive subsurface workloads, improve energy efficiency, and reduce operating costs for oil and gas companies.\nAclara will be the first company to embed Utilidata\u2019s distributed AI platform, Karman, in a smart meter to enable a connected grid that delivers clean and reliable energy. Built on a custom NVIDIA module that leverages AI, Karman captures robust, high-quality data to improve grid operations and manage distributed energy resources.\nUtilidata announced that Portland General Electric will pilot Utilidata\u2019s smart grid chip, a first-of-its-kind distributed AI platform powered by NVIDIA Jetson, in Oregon to support decarbonization goals.\nLearn about the AI and HPC hardware, software, and networking solutions for energy companies.\nThe NVIDIA Grace Hopper\u2122 Superchip is a breakthrough accelerated CPU designed from the ground up for giant-scale AI and HPC applications. The superchip will deliver up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world\u2019s most complex problems.\nThe latest iteration of NVIDIA DGX\u2122 systems and the foundation of NVIDIA DGX SuperPOD\u2122, DGX H100 is the AI powerhouse that\u2019s accelerated by the groundbreaking performance of the NVIDIA H100 Tensor Core GPU.\nNVIDIA DGX Cloud is a multi-node AI-training-as-a-service solution optimized for the unique demands of enterprise AI. It\u2019s a combined software and infrastructure solution for AI training that includes a full-stack developer suite, leadership-class infrastructure, and concierge support, allowing businesses to get started immediately with predictable, all-in-one pricing.\nWith NVIDIA AI Enterprise, energy companies can speed up development of use case applications, such as reservoir simulation, seismic processing, and predictive maintenance. Learn how to get free, short-term access to NVIDIA AI Enterprise in curated labs through NVIDIA LaunchPad.\nThe NVIDIA HPC SDK includes the proven compilers, libraries and software tools essential to maximizing developer productivity and the performance and portability of HPC modeling and simulation applications.\nNVIDIA Modulus is an open-source framework for building, training, and fine-tuning physics-informed machine learning (physics-ML) models with a simple Python interface. With Modulus, you can build models for enterprise-scale digital twin applications across multiple physics domains, from CFD to structural analysis to electromagnetics to climate science.\nNVIDIA Omniverse is an extensible, open platform built for 3D virtual collaboration and real-time physically accurate simulation. Omniverse combined with NVIDIA Modulus, a framework for developing physics machine learning neural network models, enables digital twins for wind farms, power plants, electric grids, and someday Earth itself.\nNVIDIA Jetson brings accelerated AI performance to the edge in a power-efficient and compact form factor. Together with the NVIDIA JetPack\u2122 SDK and NVIDIA Isaac\u2122 software for Robotics Operating System, these Jetson modules, including NVIDIA Jetson Orin Nano\u2122, support a full range of edge AI and robotics applications.\nNVIDIA NeMo\u2122, part of the NVIDIA AI platform, is an end-to-end, cloud-native enterprise framework for building, customizing, and deploying generative AI models with billions of parameters. The NeMo framework provides an accelerated workflow for training with 3D parallelism techniques, several customization techniques, and optimized at-scale inference of large-scale models for language and image applications.\nFeatured\nTo manage renewable energy at scale, NVIDIA and its ecosystem of partners are using AI to optimize solar and wind farms, simulate climate and weather, maintain power grids, advance carbon capture, and power fusion breakthroughs.\nVideos\nWebinars\nGain an understanding of the various building blocks of NVIDIA Modulus, the basics of physics-informed deep learning, and how the framework integrates with the overall Omniverse platform.\nLearn how to use NVIDIA Base Command\u2122 Platform to accelerate your containerized AI training workloads, discover the tools necessary to build an AI center of excellence, and get the basics of working with, modifying, and running Docker containers from NVIDIA NGC\u2122.\nLearn how to use Jupyter iPython notebooks on a Jetson Nano Developer Kit to build a deep learning classification project with computer vision models. This easy-to-use, powerful computer runs multiple neural networks in parallel.\nMeet NVIDIA Inception, the free program designed to help startups evolve faster through access to cutting-edge technology and NVIDIA experts, connections with venture capitalists, and co-marketing support to raise visibility.\nConnect with millions of like-minded developers in the NVIDIA Developer Program to do your life\u2019s work. Gain access to free containers, pretrained models, SDKs, technical documentation, and peer and domain expert help.\nExpand and support your portfolio with NVIDIA\u2019s Venture Capital (VC) Alliance, an initiative between NVIDIA and investors around the world who are focused on startups building cutting-edge technology with AI, data science, and HPC.\nOur solutions for the energy industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.\nChat with NVIDIA energy experts to help solve your business challenges.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/energy/oil-gas-operations/#nav-lvl1-tab1-lvl2-tab2": "Accelerate subsurface workloads with AI, high-performance computing (HPC) and visualization.\nOil and gas enterprises are becoming integrated energy companies, using improved processes to better explore, produce, transport, and distribute fuels to consumers around the world. Global initiatives for decarbonization are accelerating the transition from fossil fuels to alternative fuels with a smaller carbon footprint and scaling renewable energy, such as wind, solar, nuclear, hydroelectric, green hydrogen and geothermal.\nLearn how ExxonMobil, Shell, SLB, and Petrobras are using AI and HPC to enhance energy exploration and production, reduce operational emissions, and accelerate carbon capture, utilization, and storage (CCUS) development.\nSee how Stone Ridge Technology accelerated simulations of multi-million-cell deep-water reservoirs, offshore oil fields, and deep-water gas fields with ECHELON 2.0 running on Eni's HPC5 cluster.\nLearn from energy companies using AI to improve energy production and reduce operating costs.\nLearn how Saudi Aramco built an AI assistant to enhance seismic data processing\u2014compiled with NVIDIA\u00ae TensorRT\u2122-LLM, deployed using NVIDIA Triton\u2122 Inference Server, and fine-tuned with NVIDIA NeMo\u2122 Guardrails.\nSaudi Aramco\nLearn how Petrobras built SolverBR\u2014a specialized linear solver powered by the Arm\u00ae-based NVIDIA Grace\u2122 CPU\u2014and achieved up to a 60 percent speedup in reservoir simulations.\nLearn how Shell used NVIDIA DGX systems to determine salt boundaries in reservoir modeling, enable 4K iterative image reconstruction, test new designs for industrial plants, and drive advancements in sustainable new materials.\nShell\nAs the world moves toward a more sustainable future, global leaders in energy are accelerating their key HPC and AI workloads with NVIDIA\u2019s full-stack platform. The result? Some of the most powerful, efficient supercomputers in the industry\u2014including those from Eni, ExxonMobil, Petrobras, Saudi Aramco, Total, and the U.S. Department of Energy\u2014are built on NVIDIA technology and continually rank near the top of the TOP500 and Green500 lists.\nOur collaboration with NVIDIA provides great value because NVIDIA brings expertise in AI and a powerful HPC platform to conduct these studies. Conversely, Shell injects realism and provides the energy experience that provides great value to NVIDIA.\n\u2013 Detlef Hohl, Chief Scientist of Computation and Data Science, Shell\nShell has ongoing work with NVIDIA: more realistic 3D reservoir models (e.g., dipping reservoir) for CO2 storage, layered geology with horizontal and vertical heterogeneity, computationally efficient FNO-based networks dealing larger input datasets and providing acceptable predictions over longer time windows (hundreds of years), and next-generation digital twin models of deep earth for carbon capture and storage (CCS) applications in real time with uncertainty assessment.\n\u2013 Pandu Devarakota, Principal Science Expert, Shell\nIn 2022, over 70 percent of computing resources at BP\u2019s Center for High-Performance Computing were used by reverse time migration (RTM)-related applications. In RTM benchmarking and validation tests, we found that one NVIDIA HGX A100 with no compression achieved up to a 35X peak shot runtime speedup compared to our in-house CLXAP cluster.\n\u2013 Muhong Zhou, Senior HPC Software Developer, BP\nWe can examine the contribution of AI to the energy sector from three dimensions: energy forecasting, carbon capture, and predictive maintenance... AI algorithms are being used for energy forecasting, to predict energy demand, and to optimize economic value... AI can be used to reduce carbon emissions by analyzing data from multiple sources regarding weather, soil, and crop yield... to optimize our supply chain logistics and reduce our carbon footprint... AI can also help energy companies monitor the performance of their assets and equipment.\n\u2013 Nayef Otaibi, Vice President and Chief Digital Officer, Saudi Aramco\nThe exploration and production (E&P) industry generates a vast amount of data, including well logs, seismic data, production data, drilling data, and other sources. Natural language processing (NLP) and large language models (LLMs) have provided the ability to integrate sources with descriptive, diagnostic, prescriptive, and predictive insights that enhance return on investment. In reservoir modeling, NLP and LLMs improve integrating sources from well logs, seismic data, and production data\u2014bringing critical understanding to the subsurface that\u2019s significant to our operations.\n\u2013 Saud Zakwani, Head of Data Science, Petroleum Development Oman\nAI can help in site selection and allocation by studying the physics, geology, and metrology of different locations to optimize solar plants or wind farms and make them more cost-effective and productive. Once facilities are deployed, we can look at AI to balance the grid and identify production capacity predicted from renewable energy. AI can help optimize a large installation of batteries, such as charging and discharging or maintenance issues.\n\u2013 Yehia Khoja, Ministry of Energy, Head of AI and Business Development, Kingdom of Saudi Arabia\nSystems powered by NVIDIA A100 80GB Tensor Core GPUs demonstrate superb performance uplifts compared to CPU performance running SLB\u2019s INTERSECT high-resolution reservoir simulator.\nShearwater GeoServices is optimizing their Reveal seismic processing software for NVIDIA GPUs to help energy companies enhance seismic data and efficiently run compute-intensive imaging algorithms.\nImage courtesy of AWS and MATLAB.\nUnderstand how geoscientists can use shallow deep learning-based algorithms with MATLAB on AWS and AI models to automatically recognize distinct geologic features in seismic images.\nLearn how to develop and deploy AI-based seismic facies classification by leveraging cloud-based HPC resources for faster prototyping and development with large 3D seismic datasets.\nLearn about the AI and HPC hardware and software for oil and gas.\nNVIDIA DGX H100 expands the frontiers of business innovation and optimization. The latest iteration of NVIDIA\u2019s legendary DGX systems and the foundation of NVIDIA DGX SuperPOD\u2122, DGX H100 is the AI powerhouse that\u2019s accelerated by the groundbreaking performance of the NVIDIA H100 Tensor Core GPU.\nNVIDIA DGX SuperPOD is an AI data center infrastructure platform that enables IT to deliver performance without compromise for every user and workload. DGX SuperPOD offers leadership-class accelerated infrastructure and agile, scalable performance for the most challenging AI and HPC workloads, with industry-proven results.\nNVIDIA DGX Cloud is a multi-node AI-training-as-a-service solution optimized for the unique demands of enterprise AI. Access NVIDIA DGX Cloud to experience a combined software and infrastructure solution for AI training that includes a full-stack AI developer suite, leadership-class infrastructure, and concierge support.\nThe NVIDIA Grace\u2122 Hopper\u2122 Superchip is a breakthrough accelerated CPU designed from the ground up for giant-scale AI and HPC applications. The superchip delivers up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world\u2019s most complex problems.\nThe NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries, and software tools essential to maximizing developer productivity and the performance and portability of HPC modeling and simulation applications.\nWith NVIDIA AI Enterprise, energy companies can speed up development of use case applications, such as reservoir simulation, seismic processing, and predictive maintenance. Learn how to get access to NVIDIA AI Enterprise with free curated labs to start testing.\nNVIDIA vGPU software enables powerful GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization, as well as the performance of NVIDIA GPUs required for modern workloads.\nNVIDIA NeMo\u2122, part of the NVIDIA AI platform, is an end-to-end, cloud-native enterprise framework for building, customizing, and deploying generative AI models with billions of parameters. Energy companies are exploring large language models in sentiment analysis for oil price prediction, as well as integrating sources from well logs, seismic data, and production data to generate real-time insights.\nNVIDIA Metropolis features GPU-accelerated SDKs and developer tools that help developers optimally build, deploy, and scale AI-enabled video analytics and IoT applications\u2014from the edge to the cloud.\nUse NVIDIA RAPIDS\u2122 to apply a wide variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH\u2019s single-source shortest path, cuML\u2019s k-nearest neighbor (KNN), DBSCAN, and logistic regression, for data analysis at scale.\nGain an understanding of the various building blocks of NVIDIA Modulus, the basics of physics-informed deep learning, and how the framework integrates with the overall NVIDIA Omniverse\u2122 platform.\nLearn how to reduce complexity and improve portability and efficiency of your code by using a containerized environment for HPC application development.\nLearn how to use NVIDIA Base Command\u2122 Platform to accelerate containerized AI training workloads, identify the tools necessary to build an AI center of excellence, and get the basics of working with, modifying, and running Docker containers from NVIDIA NGC\u2122.\nTransform your AI workloads with the NVIDIA H100 Tensor Core GPU, featuring Multi-Instance GPU (MIG), the Transformer Engine, and NVIDIA AI Enterprise.\nExplore NVIDIA Inception, the free program designed to help startups evolve faster through access to cutting-edge technology and NVIDIA experts, connections with venture capitalists, and co-marketing support to raise visibility.\nConnect with millions of like-minded developers in the NVIDIA Developer Program to do your life\u2019s work, and gain access to free containers, pretrained models, SDKs, technical documentation, and peer and domain expert help.\nExpand and support your portfolio with NVIDIA\u2019s Venture Capital (VC) Alliance, an initiative between NVIDIA and investors around the world who are focused on startups building cutting-edge technology with AI, data science, and HPC.\nNVIDIA solutions for the energy industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.\nChat with NVIDIA energy experts to help solve your business challenges.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/networking/infiniband-long-haul-systems/#nav-lvl1-tab1-lvl2-tab2": "Untold Secrets of the Efficient Data Center\nIn an independent research study, key IT executives identified one key technology that can be used to support cloud-scale data centers models. Read the report to find out what was the number one technology for delivering efficiency in the cloud and the key to top performance in AI and ML environments.",
    "https://www.nvidia.com/en-us/geforce/news/dlss-3-ea-sports-f1-24-dlss-2-capes/?nvid=nv-int-drvr-712013#nav-lvl1-tab4-lvl2-tab1": "F1\u00ae 24 is available from today, May 28th, for players of the digital-exclusive Champions Edition and EA Play Pro subscribers, with the general release following on May 31st. When GeForce RTX gamers take to the track, they\u2019ll discover day-one support for a massive range of experience-enhancing technology, including DLSS, DLAA and Reflex.\nDLSS enables all GeForce RTX users to accelerate frame rates, while DLAA allows gamers with high-performing systems to use a native resolution image to maximize image quality.\nNVIDIA Reflex is a game-changing technology that reduces system latency on GeForce graphics cards and laptops so your actions occur quicker, giving you a competitive edge in multiplayer races, and making single-player races more responsive and enjoyable.\nAdditionally, GeForce RTX gamers can leverage the power of their GPU\u2019s dedicated Ray Tracing Cores to get the highest possible frame rates when activating F1\u00ae 24\u2019s ray-traced effects. Ray-Traced Reflections enhance the realism and fidelity of cars, glass, water and other suitably reflective surfaces. Ray-Traced Shadows enable every winglet and flourish on an F1\u00ae car to be accurately shadowed and self-shadowed, further heightening realism and immersion. And the new Ray-Traced Dynamic Diffuse Global Illumination setting takes trackside lighting to the next level, and enhances the quality of ray-traced reflections and shadows.\nActivating all three ray-traced effects tests the mettle of any system, but with DLSS you can race with both excellent frame rates and incredible image quality. On GeForce RTX 40 Series desktop graphics cards, enabling DLSS 3 multiples frame rates by an average of 2X at 4K, with every ray-traced effect and other option maxed out. That enables owners of the GeForce RTX 4070, and faster cards, to play F1\u00ae 24 at its very best. And for owners of the fastest cards, they can enjoy super fast, super smooth 120 frames per second-plus racing.",
    "https://www.nvidia.com/en-us/data-center/solutions/mlops/#nav-lvl1-tab4-lvl2-tab3": "The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates data science pipelines and streamlines development and deployment of production AI, including generative AI, computer vision, speech AI, and more. With over 100 frameworks, pretrained models, and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI and deliver enterprise-ready MLOps with enterprise-grade security, reliability, including API stability, and support.",
    "https://www.nvidia.com/en-us/industries/#nav-lvl1-tab4": "State of AI in Financial Services: 2024 Trends\nDive into the data compiled from a survey of over 400 financial services professionals\u2014including executives, data scientists, developers, engineers, and IT specialists\u2014from around the world. This year\u2019s results reveal the trends, challenges, and opportunities that define the state of AI in financial services in 2024.",
    "https://www.nvidia.com/en-us/industries/#resources": "State of AI in Financial Services: 2024 Trends\nDive into the data compiled from a survey of over 400 financial services professionals\u2014including executives, data scientists, developers, engineers, and IT specialists\u2014from around the world. This year\u2019s results reveal the trends, challenges, and opportunities that define the state of AI in financial services in 2024.",
    "https://www.nvidia.com/en-us/geforce-now/games/#nav-lvl1-tab1-lvl2-tab1": "GeForce NOW connects to digital PC game stores so you can stream the games you already own.\nNew games are added to our library every GFN Thursday\u2014our dedicated day for highlighting the newest games, features, and news*.\nHere's a look at the games joining the GeForce NOW library in January:\nFarlanders (New Release on Steam) Surviving the Abyss (New Release on Steam) Tortuga - A Pirate's Tale (New Release on Epic Games, Jan. 19) Epistory - Typing Chronicles (New Release on Epic Games, Jan. 19) Absolute Drift (Steam) BLACKTAIL (Steam and Epic Games) Dwarf Fortress (Steam) Hello Neighbor 2 (Steam and Epic Games) NEBULOUS: Fleet Command (Steam) Shadow Tactics - Aiko's Choice (Epic Games Store)\n*Some games listed may not appear until later in the week, including new game launches. You must already own or purchase titles to play them on GeForce NOW. Game availability per device may vary.",
    "https://www.nvidia.com/en-us/studio/compare-gpus/#nav-lvl1-tab3": "Explore the full range of high-performance GPUs that will help bring your creative visions to life.\nGraphics Memory\n3D Animation/ Motion Graphics\nVideo Editing\nPhotography/ Graphic Design\nBroadcasting\nGaming\nSTEM\nRay Tracing Cores\nAI & Tensor Cores\nEncoders\nAdvanced Multi-App Work\nSoftware Certification\nEnterprise Support\nRay Tracing Cores: for accurate lighting, shadows, reflections and higher quality rendering in less time. AI & Tensor Cores: for accelerated AI operations like up-resing, photo enhancements, color matching, face tagging, and style transfer. Advanced Multi-App Workflows: for demanding workflows typically involving multiple creative apps, each requiring their own set of dedicated system resources. Software Certification: software vendors who develop creative applications test and certify specific hardware for optimal and consistent operation. Enterprise Support: dedicated features and support for enterprise users. Graphics Memory: fast memory dedicated to graphics intensive tasks. More graphics memory means larger, more complex tasks can be completed by the GPU.\nGraphics Memory\nExplore the range of high-performance products compatible with NVIDIA Studio technology.\nCreative tutorials, artist showcases, contests, and exclusive offers.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/networking/infiniband-switching/#nav-lvl1-tab4-lvl2-tab7": "Complex workloads demand ultra-fast processing of high-resolution simulations, extreme-size datasets, and highly parallelized algorithms. As these computing requirements continue to grow, NVIDIA Quantum InfiniBand\u2014the world\u2019s only fully offloadable, In-Network Computing platform\u2014provides the dramatic leap in performance needed to achieve unmatched data center performance with less cost and complexity.",
    "https://www.nvidia.com/en-us/networking/multi-host/#nav-lvl1-tab4-lvl2-tab6": "Eliminate Performance Bottlenecks\nNVIDIA\u00ae Mellanox\u00ae Multi-Host technology enables next generation Cloud, Web 2.0 and high-performance data centers to design and build new scale-out heterogeneous compute and storage racks with direct connectivity between multiple hosts and the centralized network controller. This enables direct data access with the lowest latency to significantly improve densities and maximizes data transfer rates.\nNVIDIA\u2019s Multi-Host technology provides the ability to allow multiple compute or storage hosts to connect into a single interconnect adapter, by separating the adapter PCIe bus into several independent interfaces. Each interface connects to a separate host CPU\u2014with no performance degradation and improves operational agility and efficiency.\nImage courtesy of Facebook: Yosemite V3 multi-host server\nThe ConnectX-6 Dx SmartNIC adds significant improvements to NVIDIA Multi-Host applications by offering advanced QoS features that ensure complete isolation among the multiple hosts connected to the NIC, and by achieving superior fairness among the hosts. ConnectX-6 Dx is equipped with a large shared ingress buffer designed to hold bursty traffic when the incoming traffic rate exceeds the rate of traffic that can be absorbed by the host. The shared buffer configuration allows a single flow to consume the entire buffer space when no competition for buffer usage exists. When multiple flows consume the shared ingress buffer, the buffer is allocated in a manner that ensures that each host and each priority within the hosts are served in a fair manner.\nMulti-Host enables direct connectivity from multiple hosts to a single network controller. Allowing flexible and heterogeneous data center design with direct access to data while reducing capital and operating expenses.\nMulti-Host technology allows for different CPU architectures (x86, Power, ARM, etc.) and each host to be kept completely independent from the others. Hosts sharing the same network interface save on switch ports, cables, real estate and power.\nMulti-Host technology allows direct connectivity from multiple hosts to the network, enabling direct data access which lowers latency and overcomes performance bottlenecks to maximize data processing and transfer rates.\nConnectX Ethernet Adapter Card Brochure for OCP\nMulti-Host Evaluation Kit\nMulti-Host Evaluation Kit User Manual\nExternally Connected Multi-Host Solution\nConnectX-6 Dx Product Brief\nConnectX-6 VPI IC Product Brief\nConnectX-5 VPI Socket Direct Product Brief\nConnectX-5 VPI IC Product Brief\nConnectX-4 Lx for OCP Product Brief\nMaximizing Server Performance with NVIDIA Socket Direct Adapters\nDUG's Massive Cloud Service\nWe're here to help you build the most efficient, high performance network.",
    "https://www.nvidia.com/en-us/self-driving-cars/self-driving-cars-contact-us/#nav-lvl1-tab1": "This form is for automotive inquires only. For other inquiries, please click here.\nOptional\nPlease provide a brief description of your product and business model.\nWhere do you stand within your product development? Please include the list of NVIDIA products you are using.\nHow can NVIDIA help you achieve your goals?\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/automotive/#nav-lvl1-tab4-lvl2-tab2": "NVIDIA\u2019s automotive solutions offer the performance and scalability to design, visualize, and simulate the future of driving. Create virtual showrooms and car configurators, develop in-vehicle AI assistants, and validate autonomous driving technology\u2014all with NVIDIA AI, Omniverse\u2122, and accelerated computing platforms.\nCome learn from experts how advances in AI and accelerated computing can profoundly impact your industry\u2014from HPC and manufacturing to healthcare, robotics, and beyond. Join us online March 20-23.\nLearn from automakers who are using GPUs and AI to drive the future, today.\nImage Courtesy of BMW Group\nBMW Group and NVIDIA are working together to transform the automotive manufacturing lifecycle by building AI-enabled, simulated digital twins of the BMW factory.\nMercedes is partnering with NVIDIA to bring its next generation of vehicles into the autonomous era, delivering intelligent cockpits redesigned for an AI driver.\nImage Courtesy of Rimac Rimac Automobili\nTry the Rimac Nevera 3D Configurator on NVIDIA Omniverse Cloud and experience a physically accurate, advanced 3D configurator\u2014built on and streamed from NVIDIA Omniverse Cloud.\nStarting in 2025, all-new Jaguar and Land Rover vehicles will be built on the NVIDIA DRIVE software-defined platform\u2014from the cloud with NVIDIA data center solutions to the car with NVIDIA DRIVE Orin\u2122.\nElectric vehicle pioneer NIO is building next-generation software-defined vehicles with AI technology that spans from the cloud to the car.\nNVIDIA\u2019s AI experts approach problems from many angles to find the most optimal solution. Their know-how enabled us to reduce training time from weeks to days, improving accuracy of our models.\n\u2013 Robert Thiel, Manager, Head of Artificial Intelligence, Continental Automotive\nThe complex scenarios faced by mass-produced cars and the massive amount of data these fleets generate are the cornerstones of NIO\u2019s autonomous driving capabilities. By using NVIDIA high-performance compute solutions, NIO can accelerate the path to autonomous driving.\n\u2013 Bai Yuli, Head of AI, NIO\nOur collaboration with NVIDIA allows us to develop the future of factory logistics today.\n\u2013 J\u00fcrgen Maidl, Senior Vice President of Logistics, The BMW Group\nLeading companies across the transportation industry\u2014 including BYD, GAC, Nuro, Plus, WeRide, and XPENG \u2014choose NVIDIA DRIVE\u2122 Thor to power their next-generation vehicles.\nLearn how Foretellix, CARLA, and other simulation developers are using Omniverse Cloud APIs to deliver sensor simulation for AV training, testing, and validation. Continental and Stellantis are also using these APIs to build digital twins and tools to unify workflows.\nAISpeech, Baidu, Cerence, DeepRoute, SenseAuto, SoundHound, Stack, and Wavye are advancing intelligent AI assistants, driver and passenger monitoring, and more using NVIDIA\u2019s edge-to-cloud technology.\nThe automotive industry is being transformed by AI and software-defined vehicles. Hear from industry leaders share their perspectives on how AI is shaping the future of transportation.\nLeading automakers like Lotus are adopting advanced configurator solutions by key creative partners and developers such as BITONE, Configit, Katana, WPP, and Zerolight.\nFeatured\nLearn more about how BMW Group is adopting NVIDIA Omniverse in the official virtual opening on the automaker's new electric vehicle plant.\nGTC On-Demand\nWebinars\nWaabi CEO and founder Raquel Urtasun joins NVIDIA\u2019s Katie Burke Washabaugh to talk about the role simulation technology plays in developing production-level autonomous vehicles.\nLearn how to integrate your sensor of choice for NVIDIA DRIVE.\nIn this course, you\u2019ll be guided through a working example of a custom plug-in for a sensor using the DriveWorks SDK and implement core elements of the plugin.\nLearn how deep learning works through hands-on exercises in computer vision and natural language processing. You\u2019ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You\u2019ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.\nLearn how to quickly build and deploy production quality conversational AI applications with real-time transcription and natural language processing (NLP) capabilities.\nGet access to free SDKs, training, and technical resources to successfully build applications on all NVIDIA technology platforms by joining our Developer Program.\nAccelerate your startup by joining the NVIDIA Inception Program. It provides over 13,000 cutting-edge startups worldwide with critical go-to-market support, technical expertise, training, and introductions to funding opportunities.\nDevelop and master the skills you need in AI, HPC, and the metaverse through the NVIDIA Deep Learning Institute (DLI). Choose from a catalog of over 80 self-paced courses and instructor-led workshops.\nOur experts can help your business unlock new capabilities and take your success to the next level.",
    "https://www.nvidia.com/en-us/industries/#introduction": "State of AI in Financial Services: 2024 Trends\nDive into the data compiled from a survey of over 400 financial services professionals\u2014including executives, data scientists, developers, engineers, and IT specialists\u2014from around the world. This year\u2019s results reveal the trends, challenges, and opportunities that define the state of AI in financial services in 2024.",
    "https://www.nvidia.com/en-us/industries/#get-started": "State of AI in Financial Services: 2024 Trends\nDive into the data compiled from a survey of over 400 financial services professionals\u2014including executives, data scientists, developers, engineers, and IT specialists\u2014from around the world. This year\u2019s results reveal the trends, challenges, and opportunities that define the state of AI in financial services in 2024.",
    "https://www.nvidia.com/en-us/geforce/news/dlss-3-ea-sports-f1-24-dlss-2-capes/?nvid=nv-int-drvr-712013#nav-lvl1-tab4-lvl2-tab2": "F1\u00ae 24 is available from today, May 28th, for players of the digital-exclusive Champions Edition and EA Play Pro subscribers, with the general release following on May 31st. When GeForce RTX gamers take to the track, they\u2019ll discover day-one support for a massive range of experience-enhancing technology, including DLSS, DLAA and Reflex.\nDLSS enables all GeForce RTX users to accelerate frame rates, while DLAA allows gamers with high-performing systems to use a native resolution image to maximize image quality.\nNVIDIA Reflex is a game-changing technology that reduces system latency on GeForce graphics cards and laptops so your actions occur quicker, giving you a competitive edge in multiplayer races, and making single-player races more responsive and enjoyable.\nAdditionally, GeForce RTX gamers can leverage the power of their GPU\u2019s dedicated Ray Tracing Cores to get the highest possible frame rates when activating F1\u00ae 24\u2019s ray-traced effects. Ray-Traced Reflections enhance the realism and fidelity of cars, glass, water and other suitably reflective surfaces. Ray-Traced Shadows enable every winglet and flourish on an F1\u00ae car to be accurately shadowed and self-shadowed, further heightening realism and immersion. And the new Ray-Traced Dynamic Diffuse Global Illumination setting takes trackside lighting to the next level, and enhances the quality of ray-traced reflections and shadows.\nActivating all three ray-traced effects tests the mettle of any system, but with DLSS you can race with both excellent frame rates and incredible image quality. On GeForce RTX 40 Series desktop graphics cards, enabling DLSS 3 multiples frame rates by an average of 2X at 4K, with every ray-traced effect and other option maxed out. That enables owners of the GeForce RTX 4070, and faster cards, to play F1\u00ae 24 at its very best. And for owners of the fastest cards, they can enjoy super fast, super smooth 120 frames per second-plus racing.",
    "https://www.nvidia.com/en-us/omniverse/solutions/3d-design-collaboration/#notify-me": "There are two methods to get started with developing on NVIDIA Omniverse:\nPlatform SDK\nFor developers looking to build an application from scratch, NVIDIA offers Omniverse Kit SDK and free sample applications that can be easily customized and extended.\nDownload the platform SDK here.\nCloud APIs\nFor developers looking to take only the pieces they need, NVIDIA offers Omniverse core technologies that are exposed as simple APIs that developers can self-host on any cloud, multi-cloud, or virtual private cloud, or, consume as a managed service from NVIDIA Omniverse Cloud on Microsoft Azure.\nOmniverse core APIs give developers the ability to integrate USD data ingest, and RTX-enabled output.\nApply for early access to APIs.",
    "https://www.nvidia.com/en-us/studio/compare-gpus/#nav-lvl1-tab4-lvl2-tab6": "Explore the full range of high-performance GPUs that will help bring your creative visions to life.\nGraphics Memory\n3D Animation/ Motion Graphics\nVideo Editing\nPhotography/ Graphic Design\nBroadcasting\nGaming\nSTEM\nRay Tracing Cores\nAI & Tensor Cores\nEncoders\nAdvanced Multi-App Work\nSoftware Certification\nEnterprise Support\nRay Tracing Cores: for accurate lighting, shadows, reflections and higher quality rendering in less time. AI & Tensor Cores: for accelerated AI operations like up-resing, photo enhancements, color matching, face tagging, and style transfer. Advanced Multi-App Workflows: for demanding workflows typically involving multiple creative apps, each requiring their own set of dedicated system resources. Software Certification: software vendors who develop creative applications test and certify specific hardware for optimal and consistent operation. Enterprise Support: dedicated features and support for enterprise users. Graphics Memory: fast memory dedicated to graphics intensive tasks. More graphics memory means larger, more complex tasks can be completed by the GPU.\nGraphics Memory\nExplore the range of high-performance products compatible with NVIDIA Studio technology.\nCreative tutorials, artist showcases, contests, and exclusive offers.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/data-center/tensor-cores/#nav-lvl1-tab4-lvl2-tab5": "Advanced HPC\nHPC is a fundamental pillar of modern science. To unlock next-generation discoveries, scientists use simulations to better understand complex molecules for drug discovery, physics for potential sources of energy, and atmospheric data to better predict and prepare for extreme weather patterns. NVIDIA Tensor Cores offer a full range of precisions, including FP64, to accelerate scientific computing with the highest accuracy needed.\nThe HPC SDK provides the essential compilers, libraries, and tools for developing HPC applications for the NVIDIA platform.",
    "https://www.nvidia.com/en-us/industries/automotive/#ai-automotive-video": "NVIDIA\u2019s automotive solutions offer the performance and scalability to design, visualize, and simulate the future of driving. Create virtual showrooms and car configurators, develop in-vehicle AI assistants, and validate autonomous driving technology\u2014all with NVIDIA AI, Omniverse\u2122, and accelerated computing platforms.\nCome learn from experts how advances in AI and accelerated computing can profoundly impact your industry\u2014from HPC and manufacturing to healthcare, robotics, and beyond. Join us online March 20-23.\nLearn from automakers who are using GPUs and AI to drive the future, today.\nImage Courtesy of BMW Group\nBMW Group and NVIDIA are working together to transform the automotive manufacturing lifecycle by building AI-enabled, simulated digital twins of the BMW factory.\nMercedes is partnering with NVIDIA to bring its next generation of vehicles into the autonomous era, delivering intelligent cockpits redesigned for an AI driver.\nImage Courtesy of Rimac Rimac Automobili\nTry the Rimac Nevera 3D Configurator on NVIDIA Omniverse Cloud and experience a physically accurate, advanced 3D configurator\u2014built on and streamed from NVIDIA Omniverse Cloud.\nStarting in 2025, all-new Jaguar and Land Rover vehicles will be built on the NVIDIA DRIVE software-defined platform\u2014from the cloud with NVIDIA data center solutions to the car with NVIDIA DRIVE Orin\u2122.\nElectric vehicle pioneer NIO is building next-generation software-defined vehicles with AI technology that spans from the cloud to the car.\nNVIDIA\u2019s AI experts approach problems from many angles to find the most optimal solution. Their know-how enabled us to reduce training time from weeks to days, improving accuracy of our models.\n\u2013 Robert Thiel, Manager, Head of Artificial Intelligence, Continental Automotive\nThe complex scenarios faced by mass-produced cars and the massive amount of data these fleets generate are the cornerstones of NIO\u2019s autonomous driving capabilities. By using NVIDIA high-performance compute solutions, NIO can accelerate the path to autonomous driving.\n\u2013 Bai Yuli, Head of AI, NIO\nOur collaboration with NVIDIA allows us to develop the future of factory logistics today.\n\u2013 J\u00fcrgen Maidl, Senior Vice President of Logistics, The BMW Group\nLeading companies across the transportation industry\u2014 including BYD, GAC, Nuro, Plus, WeRide, and XPENG \u2014choose NVIDIA DRIVE\u2122 Thor to power their next-generation vehicles.\nLearn how Foretellix, CARLA, and other simulation developers are using Omniverse Cloud APIs to deliver sensor simulation for AV training, testing, and validation. Continental and Stellantis are also using these APIs to build digital twins and tools to unify workflows.\nAISpeech, Baidu, Cerence, DeepRoute, SenseAuto, SoundHound, Stack, and Wavye are advancing intelligent AI assistants, driver and passenger monitoring, and more using NVIDIA\u2019s edge-to-cloud technology.\nThe automotive industry is being transformed by AI and software-defined vehicles. Hear from industry leaders share their perspectives on how AI is shaping the future of transportation.\nLeading automakers like Lotus are adopting advanced configurator solutions by key creative partners and developers such as BITONE, Configit, Katana, WPP, and Zerolight.\nFeatured\nLearn more about how BMW Group is adopting NVIDIA Omniverse in the official virtual opening on the automaker's new electric vehicle plant.\nGTC On-Demand\nWebinars\nWaabi CEO and founder Raquel Urtasun joins NVIDIA\u2019s Katie Burke Washabaugh to talk about the role simulation technology plays in developing production-level autonomous vehicles.\nLearn how to integrate your sensor of choice for NVIDIA DRIVE.\nIn this course, you\u2019ll be guided through a working example of a custom plug-in for a sensor using the DriveWorks SDK and implement core elements of the plugin.\nLearn how deep learning works through hands-on exercises in computer vision and natural language processing. You\u2019ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You\u2019ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.\nLearn how to quickly build and deploy production quality conversational AI applications with real-time transcription and natural language processing (NLP) capabilities.\nGet access to free SDKs, training, and technical resources to successfully build applications on all NVIDIA technology platforms by joining our Developer Program.\nAccelerate your startup by joining the NVIDIA Inception Program. It provides over 13,000 cutting-edge startups worldwide with critical go-to-market support, technical expertise, training, and introductions to funding opportunities.\nDevelop and master the skills you need in AI, HPC, and the metaverse through the NVIDIA Deep Learning Institute (DLI). Choose from a catalog of over 80 self-paced courses and instructor-led workshops.\nOur experts can help your business unlock new capabilities and take your success to the next level.",
    "https://www.nvidia.com/en-us/self-driving-cars/partners/volvo-cars/#nav-lvl1-tab1-lvl2-tab1": "Volvo Cars has been working with NVIDIA since 2016, integrating the high-performance, energy-efficient NVIDIA DRIVE\u00ae platform in its new models to deliver AI-assisted driving and safety features. These cutting-edge solutions feature advanced software developed both in-house and by Zenseact, Volvo Cars\u2019 autonomous driving software company.\nThis special 4-seater version of EX90, powered by the NVIDIA DRIVE Orin\u2122 compute platform, offers state-of-the-art technology for extraordinary performance and safety.\nVolvo Cars\u2019 all-electric vehicle is the first model powered by the high-performance NVIDIA DRIVE Orin\u2122 compute platform.\nAll roads to the future of autonomous, electric, and connected transportation run through one key innovation: software-defined, centralized computing.\nVolvo Cars\u2019 new fully electric flagship SUV will have industry-leading safety technology\u2013standard\u2013helping to save even more lives as the company sets a new benchmark for automotive safety.\nVolvo Cars is extending its long-held legacy of safety far into the future. The global automaker announced during the GTC keynote that it will use NVIDIA DRIVE Orin to power the autonomous driving computer in its next-generation cars.\nDRIVE AGX Xavier\u2122 is a highly integrated AI car computer that enables Volvo to streamline development of self-driving capabilities while reducing total cost of development and support. The initial production release will deliver Level 2+ assisted driving features, going beyond traditional advanced driver assistance systems.\nNVIDIA automotive solutions empower automakers, tier 1 suppliers, startups, and research institutions to transform the future of transportation.\nThis form is for automotive inquires only. For other inquiries, please click here.\nOptional\nPlease provide a brief description of your product and business model.\nWhere do you stand within your product development? Please include the list of NVIDIA products you are using.\nHow can NVIDIA help you achieve your goals?\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/startups/": "Join NVIDIA Inception\u2019s global network of over 19,000 technology startups.\nNVIDIA Inception is a free program designed to help startups evolve faster through cutting-edge technology, opportunities to connect with venture capitalists, and access to the latest technical resources from NVIDIA.\nUnlike traditional accelerators, NVIDIA Inception supports all stages of a startup\u2019s life cycle. We work closely with members to provide the best technical tools, latest resources, and opportunities to connect with investors.\n* Select Members\nAll startups enter the program as valuable Community members. Once your startup closes at least its Series A funding and is in production, it\u2019s ready to be evaluated for Premier membership.\nGet the latest updates and resources for your startup.\nYou\u2019re encouraged to apply to NVIDIA Inception regardless of your current funding stage. There are no application deadlines or cohorts.\nNow accepting applications for all technology startups, including AI and deep learning, data science, HPC, networking, graphics, AR/VR, and gaming.\nUpdate your Inception Program profile every six months to maximize your access to the rich collection of program benefits.\nRedeem your program membership benefits with NVIDIA and our partners to accelerate your startup\u2019s journey.\nDotlumen is illuminating a new technology to help people with visual impairments navigate the world.\nMedtech innovators at GTC shared how NVIDIA\u2019s purpose-built AI platforms are fueling the next generation of healthcare delivery.\nEffortlessly leverage cloud capabilities with a single-line configuration in your code. Read how Union.ai's NVIDIA DGX Agent seamlessly integrates Flyte workflows with NVIDIA DGX Cloud in the latest blog.\nLearn how NVIDIA Inception members HEAVY.AI, LILT, and Outerbounds are enabling and deploying generative AI solutions across a diverse set of use cases.\nFrom generative AI for data creation to model training and edge deployment in the field, three NVIDIA Inception startups represent the end-to-end ecosystem of computer vision.\nIn this on-demand GTC session, hear how investors from NVIDIA Venture Capital Alliance firms perceive the dynamics of the AI startup ecosystem.\nDiscover solutions developed by startup members of the NVIDIA Inception Program, designed for a range of use cases, workloads, and industries.\nNVIDIA gives select members unique opportunities to interact with our worldwide ecosystem of investors. Learn about the NVIDIA Inception Venture Capital Alliance, an initiative between NVIDIA and top-tier VC firms.\nNVIDIA takes no equity, and there are no fees to apply.\nThere are no application fees, membership fees, or equity requirements for NVIDIA Inception. If accepted, members must update their profile every six months to remain eligible for benefits.\nYes. NVIDIA Inception offers members discounts on instructor-led workshops through the NVIDIA Deep Learning Institute, a repository of self-paced AI and deep learning training courses that demonstrate how your startup can benefit from NVIDIA solutions.\nYour organization must employ at least one developer, maintain a working website, be officially incorporated, and be less than 10 years old.\nFunding status is an important indicator of startup maturity. The Inception team also uses this information to determine which members might be appropriate for VC introductions.\nWe recognize the concerns associated with disclosing sensitive customer information. If you're unable to share information about your customers, feel free to select \"Can't disclose\" and share any information that helps us better understand the market opportunity (e.g., customer's business vertical(s), number of customers, proof of concept).\nGenerating revenue is not a requirement for NVIDIA Inception membership. The program is designed to support startups of all stages.\nNo. Your company needs to be incorporated, and you'll need to provide the incorporation date in the application form.\nEarly-stage startups enrolled in NVIDIA Inception benefit from free NVIDIA Deep Learning Institute (DLI) training credits, SDK access, preferred pricing on select hardware and software, and free cloud credits.\nMembers benefit from preferred pricing on a subset of our enterprise-grade GPUs. NVIDIA doesn't sell directly to Inception members, and we don't maintain pricing control over our suppliers. The preferred pricing will function as a rebate that will be deducted from the standard price that any supplier provides.\nAt this time, NVIDIA Inception does not offer special access to GPUs that aren\u2019t generally available. NVIDIA can provide contact information for GPU suppliers that may have cards, but we cannot guarantee access to specific products.\nMembers can request preferred pricing on a subset of our enterprise-grade GPUs. NVIDIA doesn't sell directly to Inception program members, and we don't maintain pricing control over our suppliers. The preferred pricing will function as a rebate that will be deducted from the standard price that any supplier provides.\nThe NVIDIA Inception Portal login requires the corporate email associated with your organization. Note that \u2018.nvidia\u2019 is no longer required as a part of your login credentials.\nYes. The \u201cMember Sign-in\u201d button is at the top, right-hand corner of this page. You can also click here to visit the sign-in page.\nYou can give members of your team access by adding members and modifying access rights within the Inception Portal.\nSend an email to [email protected] (for members in China use [email protected]) and we\u2019ll help update your main contact information.\nMake sure that you\u2019re opted in to NVIDIA Developer News (in \u201cEmail Preferences\u201d) to receive the NVIDIA Inception newsletter. The newsletter highlights upcoming events, member benefits, and new developer tools and releases.\nOnce you\u2019re accepted, here are some recommendations for getting the most value out of your membership:\nPlease send an email to [email protected] (for members in China use [email protected]).\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/studio/compare-gpus/#nav-lvl1-tab4-lvl2-tab3": "Explore the full range of high-performance GPUs that will help bring your creative visions to life.\nGraphics Memory\n3D Animation/ Motion Graphics\nVideo Editing\nPhotography/ Graphic Design\nBroadcasting\nGaming\nSTEM\nRay Tracing Cores\nAI & Tensor Cores\nEncoders\nAdvanced Multi-App Work\nSoftware Certification\nEnterprise Support\nRay Tracing Cores: for accurate lighting, shadows, reflections and higher quality rendering in less time. AI & Tensor Cores: for accelerated AI operations like up-resing, photo enhancements, color matching, face tagging, and style transfer. Advanced Multi-App Workflows: for demanding workflows typically involving multiple creative apps, each requiring their own set of dedicated system resources. Software Certification: software vendors who develop creative applications test and certify specific hardware for optimal and consistent operation. Enterprise Support: dedicated features and support for enterprise users. Graphics Memory: fast memory dedicated to graphics intensive tasks. More graphics memory means larger, more complex tasks can be completed by the GPU.\nGraphics Memory\nExplore the range of high-performance products compatible with NVIDIA Studio technology.\nCreative tutorials, artist showcases, contests, and exclusive offers.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce/technologies/reflex/": "NVIDIA Reflex, GeForce RTX 40 Series GPUs, and G-SYNC\u00ae monitors deliver the lowest latency and best responsiveness for the ultimate competitive advantage. Built to optimize and measure system latency, Reflex provides faster target acquisition, quicker reaction times, and the best aim precision for competitive games.",
    "https://www.nvidia.com/en-us/omniverse/solutions/3d-design-collaboration/#nav-lvl1-tab4-lvl2-tab8": "There are two methods to get started with developing on NVIDIA Omniverse:\nPlatform SDK\nFor developers looking to build an application from scratch, NVIDIA offers Omniverse Kit SDK and free sample applications that can be easily customized and extended.\nDownload the platform SDK here.\nCloud APIs\nFor developers looking to take only the pieces they need, NVIDIA offers Omniverse core technologies that are exposed as simple APIs that developers can self-host on any cloud, multi-cloud, or virtual private cloud, or, consume as a managed service from NVIDIA Omniverse Cloud on Microsoft Azure.\nOmniverse core APIs give developers the ability to integrate USD data ingest, and RTX-enabled output.\nApply for early access to APIs.",
    "https://www.nvidia.com/en-us/design-visualization/ampere-architecture/#nav-lvl1-tab3": "The NVIDIA\u00ae RTX\u2122 platform revolutionized professional visual computing forever. The NVIDIA Ampere architecture builds on the power of RTX to significantly enhance the performance of rendering, graphics, AI, and compute workloads. Engineered to perfection and featuring cutting-edge innovations, NVIDIA Ampere takes RTX to new heights for professional workloads.",
    "https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-xavier-nx/": "Jetson Xavier NX Series Introducing the powerful NVIDIA Jetson Xavier NX 16GB module. Shop all Jetson Xavier NX Products",
    "https://www.nvidia.com/en-us/self-driving-cars/partners/pony-ai/#intro": "Pony.ai is a leading global autonomous driving technology company that develops intelligent systems for safer, more efficient transportation. Its platform leverages NVIDIA DRIVE Orin\u2122 for low latency, high performance, and high reliability. This software-defined architecture helps Pony.ai achieve scalable deployment across self-driving trucks and robotaxis, and accelerate its future of a robust, mass-production solution for AVs.\nThe need for redundant and diverse sensors and computing systems makes it challenging to design and optimize the processing pipeline. In this post, explore the evolution of Pony.ai\u2019s on-vehicle sensor data processing pipeline.\nLearn about the high-performance, energy-efficient AI compute platform to be integrated into the fleet of Toyota Sienna level 4 autonomous vehicles.\nSee the technological milestones achieved with road testing in China, including Pony.ai\u2019s soft launch of China's first-ever autonomous vehicle robotaxi service.\nExplore the GTC 2022 Session with Ke Li, Software Engineer, Pony.ai and Petr Shepelev, Senior Systems Software Engineer, NVIDIA\nNVIDIA automotive solutions are available to automakers, tier 1 suppliers, startups, and research institutions working on the future of transportation.\nThis form is for automotive inquires only. For other inquiries, please click here.",
    "https://www.nvidia.com/en-us/design-visualization/resources/rtx-all-stars-ebook/#nav-lvl1-tab4-lvl2-tab1": "Ebook RTX All Stars Get inspired by the artists, creators, and designers who are using NVIDIA RTX to transform workflows and bring their best work to life. Download Now",
    "https://www.nvidia.com/en-us/design-visualization/solutions/rendering/#modo-3": "NVIDIA Omniverse\u2122 is an open platform for virtual collaboration and real-time physically accurate simulation. Creators, designers, and engineers can accelerate their workflows with one-click interoperability between leading software tools in a shared virtual world. Running on NVIDIA RTX\u2122, breathtaking, high-fidelity models can be instantly shared to any device.",
    "https://www.nvidia.com/en-us/omniverse/solutions/digital-twins/": "Harness the power of large-scale, physically-based OpenUSD simulation for industrial applications.\nVideo courtesy of HEAVY.AI\nWith NVIDIA Omniverse\u2122 Enterprise deployed on NVIDIA OVX\u2122, developers are building applications to power physically-based, AI-enabled digital twins, giving them the superpowers to design, simulate, and optimize products, equipment, and processes in real time before going to production.\nSiemens and NVIDIA are collaborating to connect the Siemens Xcelerator and NVIDIA Omniverse platforms to unlock industrial digitalization.\n\u201cFor over a decade, our digital twin technology has been helping customers across all industries to boost their productivity and today offer the industry\u2019s most comprehensive digital twin. When Siemens Xcelerator is connected to Omniverse, we will enable a real-time, immersive metaverse that connects hardware and software, from the edge to the cloud with rich data from Siemens\u2019 software and solutions.\u201d\n\u2014 Roland Busch, President and Chief Executive Officer, Siemens AG\nSee the ecosystem of developers that are integrating Omniverse OpenUSD and RTX technologies into their software, solution, and services portfolios.\nDeveloper Use Cases\nBMW Group\nWPP\nDENZA\nMercedes-Benz\nSiemens Energy\nSiemens Gamesa\nU.K. Atomic Energy Authority\nHEAVY.AI\nNVIDIA\nSiemens\nDelta Electronics\nPegatron\nWistron\nAmazon Robotics\nLowe\u2019s\nPepsiCo\nEarth-2 Data: DKRZ/MPI-M, ICON Model\nCesium\nLockheed Martin and NVIDIA\nAnnouncements\nNVIDIA and Intrinsic jointly announced foundation models enabled by NVIDIA Isaac Manipulator and Intrinsic\u2019s FlowState.\nAnsys, Cadence, Hexagon, Microsoft, Rockwell Automation, Siemens, and Trimble adopt Omniverse technologies to help customers design, simulate, build, and operate physically based digital twins.\nNew Omniverse Cloud APIs to let developers beam interactive, industrial digital twins into spatial computing.\nScalable cloud services bring state-of-the-art simulation capabilities to AV, robotics, and computer vision developers.\nDigital twin reference architecture supported by Ansys, Cadence, Patch Manager, Schneider Electric, Vertive, and more sets the foundation for highly efficient AI infrastructure.\nIntegrating digital twins and generative AI from NVIDIA Omniverse into Siemens Teamcenter X is transforming the way products are designed and manufactured.\nOrchestrate 3D data pipelines to design, develop, and visualize digital twins and large-scale virtual simulation environments.\nPower photorealistic, physically accurate virtual environments with scalable robotics simulation and synthetic data generation.\nPower digital twins and complex simulation workloads at scale with a purpose-built system.\nDeliver AI safely and securely to support human and machine collaboration.\nNVIDIA Omniverse\u2122 Cloud is a platform-as-a-service providing developers a full-stack cloud environment to design, develop, deploy, and manage industrial digitalization applications.\nResources\nRead our \u201c5 Steps to Get Started with Digital Twins\u201d ebook, explore example use cases, or reach out to an Omniverse specialist.\nSessions from GTC\nUse Case\nFree Trial\nThank you for your interest in NVIDIA Omniverse Enterprise, Omniverse Cloud, and OVX. We would love to help you get started. Fill out the form and an expert will get back to you shortly.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/solutions/rendering/#nav-lvl1-tab4": "NVIDIA Omniverse\u2122 is an open platform for virtual collaboration and real-time physically accurate simulation. Creators, designers, and engineers can accelerate their workflows with one-click interoperability between leading software tools in a shared virtual world. Running on NVIDIA RTX\u2122, breathtaking, high-fidelity models can be instantly shared to any device.",
    "https://www.nvidia.com/en-us/geforce/game-ready-drivers/": "GeForce Game Ready Drivers deliver the best experience for your favorite games. They\u2019re finely tuned in collaboration with developers and extensively tested across thousands of hardware configurations for maximum performance and reliability. Game Ready Drivers also allow you to optimize game settings with a single click and empower you with the latest NVIDIA technologies. That\u2019s what we call Game Ready.\nGet the latest Game Ready Drivers for your NVIDIA GeForce desktop or laptop.\nWe work closely with game developers throughout development, providing prerelease drivers and test data. NVIDIA\u2019s Game Ready process keeps optimizing up to the last moment to ensure the best possible experience at launch.\nEvery Game Ready Driver is treated with the highest standards of quality. Our drivers are tested across thousands of hardware configurations over multiple generations of GPUs, and each driver is independently WHQL-Certified by Microsoft for maximum reliability, so you can focus on gaming, not troubleshooting.\nOptimal Playable Settings (OPS) is your one-click solution for the optimal combination of performance and image quality. Tested across thousands of hardware configurations, OPS determines the best game settings which are custom-tailored for your specific hardware configuration.\nGame Ready Drivers enable and enhance NVIDIA technologies in the latest games and introduce new cutting-edge features and functionality over time. Whether it\u2019s performance boosting NVIDIA DLSS, latency reducing NVIDIA Reflex, or AI-powered effects with NVIDIA Broadcast, Game Ready Drivers ensure you always have the latest gaming technology at your fingertips.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/data-center/solutions/mlops/#fujitsu": "The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates data science pipelines and streamlines development and deployment of production AI, including generative AI, computer vision, speech AI, and more. With over 100 frameworks, pretrained models, and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI and deliver enterprise-ready MLOps with enterprise-grade security, reliability, including API stability, and support.",
    "https://www.nvidia.com/en-us/data-center/products/ovx/#overview": "NVIDIA Omniverse\u2122 makes it possible to connect, develop, and operate the next wave of industrial digitalization applications. With powerful RTX graphics and AI capabilities, OVX delivers exceptional performance for Universal Scene Description (OpenUSD)-based 3D and simulation workflows built on Omniverse.",
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    "https://www.nvidia.com/en-us/on-demand/session/gtcspring21-s33132/?playlistId=playList-911c5614-4b7f-4668-b9eb-37f627ac8d17": "Artificial Intelligence Computing Leadership from NVIDIA\nMy Account\nLog In\nLog Out\nEN\nEN\n\u7b80\u4e2d\n\u65e5\u672c\u8a9e\n\ud55c\uad6d\uc5b4\n\u7e41\u4e2d\nNVIDIA On-Demand\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nThis site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. 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    "https://www.nvidia.com/en-us/design-visualization/resources/rtx-all-stars-ebook/#nav-lvl1-tab3": "Ebook RTX All Stars Get inspired by the artists, creators, and designers who are using NVIDIA RTX to transform workflows and bring their best work to life. Download Now",
    "https://www.nvidia.com/en-us/startups/#nav-lvl1-tab1-lvl2-tab2": "Join NVIDIA Inception\u2019s global network of over 19,000 technology startups.\nNVIDIA Inception is a free program designed to help startups evolve faster through cutting-edge technology, opportunities to connect with venture capitalists, and access to the latest technical resources from NVIDIA.\nUnlike traditional accelerators, NVIDIA Inception supports all stages of a startup\u2019s life cycle. We work closely with members to provide the best technical tools, latest resources, and opportunities to connect with investors.\n* Select Members\nAll startups enter the program as valuable Community members. Once your startup closes at least its Series A funding and is in production, it\u2019s ready to be evaluated for Premier membership.\nGet the latest updates and resources for your startup.\nYou\u2019re encouraged to apply to NVIDIA Inception regardless of your current funding stage. There are no application deadlines or cohorts.\nNow accepting applications for all technology startups, including AI and deep learning, data science, HPC, networking, graphics, AR/VR, and gaming.\nUpdate your Inception Program profile every six months to maximize your access to the rich collection of program benefits.\nRedeem your program membership benefits with NVIDIA and our partners to accelerate your startup\u2019s journey.\nDotlumen is illuminating a new technology to help people with visual impairments navigate the world.\nMedtech innovators at GTC shared how NVIDIA\u2019s purpose-built AI platforms are fueling the next generation of healthcare delivery.\nEffortlessly leverage cloud capabilities with a single-line configuration in your code. Read how Union.ai's NVIDIA DGX Agent seamlessly integrates Flyte workflows with NVIDIA DGX Cloud in the latest blog.\nLearn how NVIDIA Inception members HEAVY.AI, LILT, and Outerbounds are enabling and deploying generative AI solutions across a diverse set of use cases.\nFrom generative AI for data creation to model training and edge deployment in the field, three NVIDIA Inception startups represent the end-to-end ecosystem of computer vision.\nIn this on-demand GTC session, hear how investors from NVIDIA Venture Capital Alliance firms perceive the dynamics of the AI startup ecosystem.\nDiscover solutions developed by startup members of the NVIDIA Inception Program, designed for a range of use cases, workloads, and industries.\nNVIDIA gives select members unique opportunities to interact with our worldwide ecosystem of investors. Learn about the NVIDIA Inception Venture Capital Alliance, an initiative between NVIDIA and top-tier VC firms.\nNVIDIA takes no equity, and there are no fees to apply.\nThere are no application fees, membership fees, or equity requirements for NVIDIA Inception. If accepted, members must update their profile every six months to remain eligible for benefits.\nYes. NVIDIA Inception offers members discounts on instructor-led workshops through the NVIDIA Deep Learning Institute, a repository of self-paced AI and deep learning training courses that demonstrate how your startup can benefit from NVIDIA solutions.\nYour organization must employ at least one developer, maintain a working website, be officially incorporated, and be less than 10 years old.\nFunding status is an important indicator of startup maturity. The Inception team also uses this information to determine which members might be appropriate for VC introductions.\nWe recognize the concerns associated with disclosing sensitive customer information. If you're unable to share information about your customers, feel free to select \"Can't disclose\" and share any information that helps us better understand the market opportunity (e.g., customer's business vertical(s), number of customers, proof of concept).\nGenerating revenue is not a requirement for NVIDIA Inception membership. The program is designed to support startups of all stages.\nNo. Your company needs to be incorporated, and you'll need to provide the incorporation date in the application form.\nEarly-stage startups enrolled in NVIDIA Inception benefit from free NVIDIA Deep Learning Institute (DLI) training credits, SDK access, preferred pricing on select hardware and software, and free cloud credits.\nMembers benefit from preferred pricing on a subset of our enterprise-grade GPUs. NVIDIA doesn't sell directly to Inception members, and we don't maintain pricing control over our suppliers. The preferred pricing will function as a rebate that will be deducted from the standard price that any supplier provides.\nAt this time, NVIDIA Inception does not offer special access to GPUs that aren\u2019t generally available. NVIDIA can provide contact information for GPU suppliers that may have cards, but we cannot guarantee access to specific products.\nMembers can request preferred pricing on a subset of our enterprise-grade GPUs. NVIDIA doesn't sell directly to Inception program members, and we don't maintain pricing control over our suppliers. The preferred pricing will function as a rebate that will be deducted from the standard price that any supplier provides.\nThe NVIDIA Inception Portal login requires the corporate email associated with your organization. Note that \u2018.nvidia\u2019 is no longer required as a part of your login credentials.\nYes. The \u201cMember Sign-in\u201d button is at the top, right-hand corner of this page. You can also click here to visit the sign-in page.\nYou can give members of your team access by adding members and modifying access rights within the Inception Portal.\nSend an email to [email protected] (for members in China use [email protected]) and we\u2019ll help update your main contact information.\nMake sure that you\u2019re opted in to NVIDIA Developer News (in \u201cEmail Preferences\u201d) to receive the NVIDIA Inception newsletter. The newsletter highlights upcoming events, member benefits, and new developer tools and releases.\nOnce you\u2019re accepted, here are some recommendations for getting the most value out of your membership:\nPlease send an email to [email protected] (for members in China use [email protected]).\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/#nav-lvl1-tab4-lvl2-tab1": "3840x2160 Resolution, Highest Game Settings, DLSS Super Resolution Performance Mode, DLSS Frame Generation on RTX 40 Series, i9-12900K, 32GB RAM, Win 11 x64. All DLSS Frame Generation data and Cyberpunk 2077 with new Ray Tracing: Overdrive Mode based on pre-release builds.",
    "https://www.nvidia.com/en-us/research/ai-playground/#page-content": "Try State-of-the-Art Generative AI Models From Your Browser NVIDIA AI Foundation offers an easy-to-use interface to quickly experience generative AI models from your browser without any setup. After you explore the model, you can customize it and take it to production with NVIDIA AI Enterprise. Try AI Foundation Models",
    "https://www.nvidia.com/en-us/industries/energy/#nav-lvl1-tab4-lvl2-tab1": "Deliver a reliable supply of lower-cost fuels and power, while optimizing energy efficiency.\nTo meet global demands, energy companies are turning to a software-defined approach to explore, produce, transport, and deliver lower-cost energy while pursuing net-zero emission goals. They\u2019re leveraging AI and high-performance computing (HPC) to reduce environmental impact from subsurface operations, automate manually intensive surface operations, and bring real-time intelligence to the grid edge.\nLearn how Shell used NVIDIA DGX\u2122 systems to determine salt boundaries in reservoir modeling, enable 4K iterative image reconstruction, test new designs for industrial plants, and drive advancements in sustainable new materials.\nSiemens Gamesa is optimizing their offshore wind farms for maximum power output at minimal cost using NVIDIA Omniverse\u2122 and NVIDIA Modulus. Find out how neural super-resolution accelerates simulation times from 40 days to 15 minutes.\nAccelerate reservoir simulation and seismic processing for fuel production.\nLearn how AI is accelerating reservoir simulation and seismic processing, enhancing pipeline monitoring, and protecting worker health and safety, while reducing emissions and environmental impact.\nBuild industrial and scientific digital twins for sustainability and safety.\nFind out how AI is being used to develop physically accurate industrial digital twins, scale renewable energy generation, simulate climate and weather, speed up computational fluid dynamics (CFD) workloads, and optimize industrial site efficiency.\nEnhance power generation, transmission, and distribution for grid resiliency.\nExplore the future of software-defined smart grids, including predictive maintenance of grid infrastructure, management of distributed energy resources, synthetic data generation of grid assets, outage scheduling, truck roll optimization, and utility contact center virtual assistants.\nLearn from industry leaders using AI to optimize processes, reduce risk, and trim costs.\nImage courtesy of BP.\nSee how BP achieved 35X runtime speedups by porting their production reverse time migration (RTM) code onto NVIDIA HGX\u2122 A100 and leveraging the cuFFT library.\n* Registration required.\nExplore how Chevron utilized NVIDIA IndeX\u00ae, a 3D volumetric interactive visualization SDK, in Microsoft Azure to streamline analysis of core samples\u2014in larger volumes and at higher resolution.\nStone Ridge Technology benchmarked their ECHELON reservoir simulation software on the NVIDIA Hopper GPU architecture, including the NVIDIA Grace Hopper Superchip, H100-NVL, and H100-PCIe. Learn how the company achieved up to 3.8x faster simulations with up to 25-million cell models.\nLearn how global energy companies such as Siemens Energy are building industrial digital twins to support predictive maintenance at power plants and how that could save the energy industry an estimated $1.7 billion a year.\nImage courtesy of Noteworthy AI.\nTake a look at FirstEnergy\u2019s onboard smart camera system\u2014developed by Noteworthy AI and powered by the NVIDIA\u00ae Jetson\u2122 edge AI platform\u2014which automatically monitors millions of utility poles and tens of millions of grid devices for maintenance.\nShell has ongoing work with NVIDIA: more realistic 3D reservoir models (e.g., dipping reservoir) for CO2 storage, layered geology with horizontal and vertical heterogeneity, computationally efficient Fourier neural operator (FNO)-based networks dealing with larger input datasets and providing acceptable predictions over longer time windows (hundreds of years), and the capability to build next-generation digital twin models of deep earth for climate change scenario (CCS) applications in real time with uncertainty assessment.\n\u2014 Pandu Devarakota, Principal Science Expert, Shell\nWe can examine the contribution of AI to the energy sector from three dimensions: energy forecasting, carbon capture, and predictive maintenance... AI algorithms are being used for energy forecasting, to predict energy demand, and to optimize economic value... AI can be used to reduce carbon emissions by analyzing data from multiple sources regarding weather, soil, and crop yield... to optimize our supply chain logistics and reduce our carbon footprint... AI can also help energy companies monitor the performance of their assets and equipment.\n\u2014 Nayef Otaibi, Vice President and Chief Digital Officer, Saudi Aramco\nWe will continue to collect data, not just on how our wind turbines operate, but also for weather forecasting, site planning, and other areas to optimize wind turbine sites. We're exploring augmented reality and extended reality as wind turbines are complicated machines with many types of failure modes. It's imperative to make sure the wind turbines operate safely and service technicians know how to do service repairs in the right way.\n\u2014 Lasse Lundberg Nowack, Vice President, Engineering Development Power Solutions, Vestas\nBy using synthetic data generation in NVIDIA Omniverse, our goal was to automatically create thousands of labeled photorealistic examples of various defects in grid assets. We are in the process of using real images and these synthetic images to train inspection models.\n\u2014 Ankush Agarwal, Director of Advanced Analytics, Exelon\nIn Oregon, we are experiencing the impacts of climate change firsthand and recognize the urgent need for innovation at the grid edge as we transition to a clean energy future. Investing in new technologies for the grid is a key strategy for PGE to achieve its climate goals and provide customers with clean, affordable, and resilient energy.\n\u2014 Ananth Sundaram, Senior Manager of Integrated Grid, Portland General Electric (PGE)\nSystems powered by NVIDIA A100 80GB Tensor Core GPUs demonstrate superb performance uplifts compared to CPU performance running SLB\u2019s INTERSECT high-resolution reservoir simulator.\nLearn how Shearwater achieved 10x speed-up of Reverse Time Migration (RTM) and Kirchhoff algorithms, powered by NVIDIA GPUs, to lower total power consumption for compute-intensive subsurface workloads, improve energy efficiency, and reduce operating costs for oil and gas companies.\nAclara will be the first company to embed Utilidata\u2019s distributed AI platform, Karman, in a smart meter to enable a connected grid that delivers clean and reliable energy. Built on a custom NVIDIA module that leverages AI, Karman captures robust, high-quality data to improve grid operations and manage distributed energy resources.\nUtilidata announced that Portland General Electric will pilot Utilidata\u2019s smart grid chip, a first-of-its-kind distributed AI platform powered by NVIDIA Jetson, in Oregon to support decarbonization goals.\nLearn about the AI and HPC hardware, software, and networking solutions for energy companies.\nThe NVIDIA Grace Hopper\u2122 Superchip is a breakthrough accelerated CPU designed from the ground up for giant-scale AI and HPC applications. The superchip will deliver up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world\u2019s most complex problems.\nThe latest iteration of NVIDIA DGX\u2122 systems and the foundation of NVIDIA DGX SuperPOD\u2122, DGX H100 is the AI powerhouse that\u2019s accelerated by the groundbreaking performance of the NVIDIA H100 Tensor Core GPU.\nNVIDIA DGX Cloud is a multi-node AI-training-as-a-service solution optimized for the unique demands of enterprise AI. It\u2019s a combined software and infrastructure solution for AI training that includes a full-stack developer suite, leadership-class infrastructure, and concierge support, allowing businesses to get started immediately with predictable, all-in-one pricing.\nWith NVIDIA AI Enterprise, energy companies can speed up development of use case applications, such as reservoir simulation, seismic processing, and predictive maintenance. Learn how to get free, short-term access to NVIDIA AI Enterprise in curated labs through NVIDIA LaunchPad.\nThe NVIDIA HPC SDK includes the proven compilers, libraries and software tools essential to maximizing developer productivity and the performance and portability of HPC modeling and simulation applications.\nNVIDIA Modulus is an open-source framework for building, training, and fine-tuning physics-informed machine learning (physics-ML) models with a simple Python interface. With Modulus, you can build models for enterprise-scale digital twin applications across multiple physics domains, from CFD to structural analysis to electromagnetics to climate science.\nNVIDIA Omniverse is an extensible, open platform built for 3D virtual collaboration and real-time physically accurate simulation. Omniverse combined with NVIDIA Modulus, a framework for developing physics machine learning neural network models, enables digital twins for wind farms, power plants, electric grids, and someday Earth itself.\nNVIDIA Jetson brings accelerated AI performance to the edge in a power-efficient and compact form factor. Together with the NVIDIA JetPack\u2122 SDK and NVIDIA Isaac\u2122 software for Robotics Operating System, these Jetson modules, including NVIDIA Jetson Orin Nano\u2122, support a full range of edge AI and robotics applications.\nNVIDIA NeMo\u2122, part of the NVIDIA AI platform, is an end-to-end, cloud-native enterprise framework for building, customizing, and deploying generative AI models with billions of parameters. The NeMo framework provides an accelerated workflow for training with 3D parallelism techniques, several customization techniques, and optimized at-scale inference of large-scale models for language and image applications.\nFeatured\nTo manage renewable energy at scale, NVIDIA and its ecosystem of partners are using AI to optimize solar and wind farms, simulate climate and weather, maintain power grids, advance carbon capture, and power fusion breakthroughs.\nVideos\nWebinars\nGain an understanding of the various building blocks of NVIDIA Modulus, the basics of physics-informed deep learning, and how the framework integrates with the overall Omniverse platform.\nLearn how to use NVIDIA Base Command\u2122 Platform to accelerate your containerized AI training workloads, discover the tools necessary to build an AI center of excellence, and get the basics of working with, modifying, and running Docker containers from NVIDIA NGC\u2122.\nLearn how to use Jupyter iPython notebooks on a Jetson Nano Developer Kit to build a deep learning classification project with computer vision models. This easy-to-use, powerful computer runs multiple neural networks in parallel.\nMeet NVIDIA Inception, the free program designed to help startups evolve faster through access to cutting-edge technology and NVIDIA experts, connections with venture capitalists, and co-marketing support to raise visibility.\nConnect with millions of like-minded developers in the NVIDIA Developer Program to do your life\u2019s work. Gain access to free containers, pretrained models, SDKs, technical documentation, and peer and domain expert help.\nExpand and support your portfolio with NVIDIA\u2019s Venture Capital (VC) Alliance, an initiative between NVIDIA and investors around the world who are focused on startups building cutting-edge technology with AI, data science, and HPC.\nOur solutions for the energy industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.\nChat with NVIDIA energy experts to help solve your business challenges.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/software/rtx-experience/release-highlights/": "Latest Version: 1.4.1.11 Release Date: 2022.05.04 Language: English (or regional language) File Size: 140 MB\nLatest Version: 1.3.0.5 Release Date: 2021.07.06 Language: English (or regional language) File Size: 135 MB\nMulti-driver rollback introduced as a new experimental feature (must enable in Settings to use). This feature allows users to reinstall a previous driver, up to the last five driver updates.\nVersion: 1.2.0.20 Release Date: 2021.05.27 Language: English (or regional language) File Size: 133 MB\nUpdated Partner Privacy Policies and Terms of Service\nVersion: 1.2.0.19 Release Date: 2021.04.27 Language: English (or regional language) File Size: 133 MB\nApplication rebranded to NVIDIA RTX Experience in the product user interface.\nOptimal Settings added to ensure professional applications are configured to maximize GPU acceleration for best performance.\nSupport added for workstation laptops with Whisper Mode 2.0, enabling acoustic control based on AI-powered algorithms to manage CPU, GPU, system temperatures, and fan speeds.\nVersion: 1.0.0.90 Release Date: 2021.01.11 Language: English (or regional language) File Size: 132 MB\nRestore your system to the previously installed driver with the new Driver Rollback feature. Easily revert back to the last driver installed by Quadro Experience if you encounter undesired system behavior with a newly installed driver.\nCapture unlimited desktop video at up to 8K HDR at 30 frames per second with the NVIDIA RTX A6000 GPU (up to 4K HDR at 60 frames per second with Quadro GPUs).\nVersion: 1.0.0.53 Release Date: 2020.05.27 Language: English (or regional language) File Size: 134 MB\nGet automatic driver release notifications for new NVIDIA RTX Enterprise/Quadro drivers, including the option for direct download in Quadro Experience\u2122.\nUse high-performance, low-system-impact desktop recording. Supports up to 4K resolution (H.264), with the ability to capture up to 20 minutes of instant replay.\nUse customizable hotkeys to quickly capture screenshots of your work. Captures are stored automatically in the Quadro Experience gallery for convenient retrieval.\nLive broadcast your desktop screen to Facebook, Twitch, and YouTube to share work with remote audiences or contribute content to online communities.\nStream desktop applications or games to an NVIDIA SHIELD\u2122 device to remotely view and control your desktop.\nLaunch games and access gaming features like Optimal Playable Settings. Note: this feature only works for systems with a Quadro RTX\u2122 graphics card.\nContact Us\nFAQ\nReady to bring NVIDIA RTX Experience to your professional workflow? You got it.\nEnd User License Agreement",
    "https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/#getstarted": "Data analytics and database workflows have traditionally relied on CPUs for compute. Accelerated data science can dramatically boost the performance of end-to-end analytics, speeding up value generation while reducing cost. Databases, including Apache Spark, play critical roles in handling, processing, and analyzing large volumes of data for data analytics.\nBlackwell\u2019s Decompression Engine and ability to access massive amounts of memory in the NVIDIA Grace\u2122 CPU over a high-speed link\u2014900 gigabytes per second (GB/s) of bidirectional bandwidth\u2014accelerate the full pipeline of database queries for the highest performance in data analytics and data science with support for the latest compression formats such as LZ4, Snappy, and Deflate.",
    "https://www.nvidia.com/en-us/events/computex/?nvid=nv-int-cwmfg-627085": "In addition to the vibrant exhibition and demonstrations, Marc Hamilton, vice president of solutions architecture and engineering at NVIDIA, will take the stage at the TAITRA forum, a key segment of COMPUTEX dedicated to cutting-edge discussions in technology.\nAs part of the 'Let's Talk Generative AI' forum, Hamilton will present his talk titled 'Infra Build Train Go' on June 5, from 10:00 to 10:30 a.m. at the 701 Conference Room, 7F, Taipei Nangang Exhibition Center Hall 2.",
    "https://www.nvidia.com/en-us/industries/automotive/#automotive-subscribe-modal": "NVIDIA\u2019s automotive solutions offer the performance and scalability to design, visualize, and simulate the future of driving. Create virtual showrooms and car configurators, develop in-vehicle AI assistants, and validate autonomous driving technology\u2014all with NVIDIA AI, Omniverse\u2122, and accelerated computing platforms.\nCome learn from experts how advances in AI and accelerated computing can profoundly impact your industry\u2014from HPC and manufacturing to healthcare, robotics, and beyond. Join us online March 20-23.\nLearn from automakers who are using GPUs and AI to drive the future, today.\nImage Courtesy of BMW Group\nBMW Group and NVIDIA are working together to transform the automotive manufacturing lifecycle by building AI-enabled, simulated digital twins of the BMW factory.\nMercedes is partnering with NVIDIA to bring its next generation of vehicles into the autonomous era, delivering intelligent cockpits redesigned for an AI driver.\nImage Courtesy of Rimac Rimac Automobili\nTry the Rimac Nevera 3D Configurator on NVIDIA Omniverse Cloud and experience a physically accurate, advanced 3D configurator\u2014built on and streamed from NVIDIA Omniverse Cloud.\nStarting in 2025, all-new Jaguar and Land Rover vehicles will be built on the NVIDIA DRIVE software-defined platform\u2014from the cloud with NVIDIA data center solutions to the car with NVIDIA DRIVE Orin\u2122.\nElectric vehicle pioneer NIO is building next-generation software-defined vehicles with AI technology that spans from the cloud to the car.\nNVIDIA\u2019s AI experts approach problems from many angles to find the most optimal solution. Their know-how enabled us to reduce training time from weeks to days, improving accuracy of our models.\n\u2013 Robert Thiel, Manager, Head of Artificial Intelligence, Continental Automotive\nThe complex scenarios faced by mass-produced cars and the massive amount of data these fleets generate are the cornerstones of NIO\u2019s autonomous driving capabilities. By using NVIDIA high-performance compute solutions, NIO can accelerate the path to autonomous driving.\n\u2013 Bai Yuli, Head of AI, NIO\nOur collaboration with NVIDIA allows us to develop the future of factory logistics today.\n\u2013 J\u00fcrgen Maidl, Senior Vice President of Logistics, The BMW Group\nLeading companies across the transportation industry\u2014 including BYD, GAC, Nuro, Plus, WeRide, and XPENG \u2014choose NVIDIA DRIVE\u2122 Thor to power their next-generation vehicles.\nLearn how Foretellix, CARLA, and other simulation developers are using Omniverse Cloud APIs to deliver sensor simulation for AV training, testing, and validation. Continental and Stellantis are also using these APIs to build digital twins and tools to unify workflows.\nAISpeech, Baidu, Cerence, DeepRoute, SenseAuto, SoundHound, Stack, and Wavye are advancing intelligent AI assistants, driver and passenger monitoring, and more using NVIDIA\u2019s edge-to-cloud technology.\nThe automotive industry is being transformed by AI and software-defined vehicles. Hear from industry leaders share their perspectives on how AI is shaping the future of transportation.\nLeading automakers like Lotus are adopting advanced configurator solutions by key creative partners and developers such as BITONE, Configit, Katana, WPP, and Zerolight.\nFeatured\nLearn more about how BMW Group is adopting NVIDIA Omniverse in the official virtual opening on the automaker's new electric vehicle plant.\nGTC On-Demand\nWebinars\nWaabi CEO and founder Raquel Urtasun joins NVIDIA\u2019s Katie Burke Washabaugh to talk about the role simulation technology plays in developing production-level autonomous vehicles.\nLearn how to integrate your sensor of choice for NVIDIA DRIVE.\nIn this course, you\u2019ll be guided through a working example of a custom plug-in for a sensor using the DriveWorks SDK and implement core elements of the plugin.\nLearn how deep learning works through hands-on exercises in computer vision and natural language processing. You\u2019ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You\u2019ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.\nLearn how to quickly build and deploy production quality conversational AI applications with real-time transcription and natural language processing (NLP) capabilities.\nGet access to free SDKs, training, and technical resources to successfully build applications on all NVIDIA technology platforms by joining our Developer Program.\nAccelerate your startup by joining the NVIDIA Inception Program. It provides over 13,000 cutting-edge startups worldwide with critical go-to-market support, technical expertise, training, and introductions to funding opportunities.\nDevelop and master the skills you need in AI, HPC, and the metaverse through the NVIDIA Deep Learning Institute (DLI). Choose from a catalog of over 80 self-paced courses and instructor-led workshops.\nOur experts can help your business unlock new capabilities and take your success to the next level.",
    "https://www.nvidia.com/en-us/on-demand/session/gtc24-ep64013/?playlistId=playList-d63e5c44-196c-4246-bdca-d2a7bd2e00c1": "Artificial Intelligence Computing Leadership from NVIDIA\nMy Account\nLog In\nLog Out\nEN\nEN\n\u7b80\u4e2d\n\u65e5\u672c\u8a9e\n\ud55c\uad6d\uc5b4\n\u7e41\u4e2d\nNVIDIA On-Demand\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nThis site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. 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    "https://www.nvidia.com/en-us/networking/infiniband-long-haul-systems/#resources": "Untold Secrets of the Efficient Data Center\nIn an independent research study, key IT executives identified one key technology that can be used to support cloud-scale data centers models. Read the report to find out what was the number one technology for delivering efficiency in the cloud and the key to top performance in AI and ML environments.",
    "https://www.nvidia.com/en-us/industries/automotive/#nav-lvl1-tab4-lvl2-tab7": "NVIDIA\u2019s automotive solutions offer the performance and scalability to design, visualize, and simulate the future of driving. Create virtual showrooms and car configurators, develop in-vehicle AI assistants, and validate autonomous driving technology\u2014all with NVIDIA AI, Omniverse\u2122, and accelerated computing platforms.\nCome learn from experts how advances in AI and accelerated computing can profoundly impact your industry\u2014from HPC and manufacturing to healthcare, robotics, and beyond. Join us online March 20-23.\nLearn from automakers who are using GPUs and AI to drive the future, today.\nImage Courtesy of BMW Group\nBMW Group and NVIDIA are working together to transform the automotive manufacturing lifecycle by building AI-enabled, simulated digital twins of the BMW factory.\nMercedes is partnering with NVIDIA to bring its next generation of vehicles into the autonomous era, delivering intelligent cockpits redesigned for an AI driver.\nImage Courtesy of Rimac Rimac Automobili\nTry the Rimac Nevera 3D Configurator on NVIDIA Omniverse Cloud and experience a physically accurate, advanced 3D configurator\u2014built on and streamed from NVIDIA Omniverse Cloud.\nStarting in 2025, all-new Jaguar and Land Rover vehicles will be built on the NVIDIA DRIVE software-defined platform\u2014from the cloud with NVIDIA data center solutions to the car with NVIDIA DRIVE Orin\u2122.\nElectric vehicle pioneer NIO is building next-generation software-defined vehicles with AI technology that spans from the cloud to the car.\nNVIDIA\u2019s AI experts approach problems from many angles to find the most optimal solution. Their know-how enabled us to reduce training time from weeks to days, improving accuracy of our models.\n\u2013 Robert Thiel, Manager, Head of Artificial Intelligence, Continental Automotive\nThe complex scenarios faced by mass-produced cars and the massive amount of data these fleets generate are the cornerstones of NIO\u2019s autonomous driving capabilities. By using NVIDIA high-performance compute solutions, NIO can accelerate the path to autonomous driving.\n\u2013 Bai Yuli, Head of AI, NIO\nOur collaboration with NVIDIA allows us to develop the future of factory logistics today.\n\u2013 J\u00fcrgen Maidl, Senior Vice President of Logistics, The BMW Group\nLeading companies across the transportation industry\u2014 including BYD, GAC, Nuro, Plus, WeRide, and XPENG \u2014choose NVIDIA DRIVE\u2122 Thor to power their next-generation vehicles.\nLearn how Foretellix, CARLA, and other simulation developers are using Omniverse Cloud APIs to deliver sensor simulation for AV training, testing, and validation. Continental and Stellantis are also using these APIs to build digital twins and tools to unify workflows.\nAISpeech, Baidu, Cerence, DeepRoute, SenseAuto, SoundHound, Stack, and Wavye are advancing intelligent AI assistants, driver and passenger monitoring, and more using NVIDIA\u2019s edge-to-cloud technology.\nThe automotive industry is being transformed by AI and software-defined vehicles. Hear from industry leaders share their perspectives on how AI is shaping the future of transportation.\nLeading automakers like Lotus are adopting advanced configurator solutions by key creative partners and developers such as BITONE, Configit, Katana, WPP, and Zerolight.\nFeatured\nLearn more about how BMW Group is adopting NVIDIA Omniverse in the official virtual opening on the automaker's new electric vehicle plant.\nGTC On-Demand\nWebinars\nWaabi CEO and founder Raquel Urtasun joins NVIDIA\u2019s Katie Burke Washabaugh to talk about the role simulation technology plays in developing production-level autonomous vehicles.\nLearn how to integrate your sensor of choice for NVIDIA DRIVE.\nIn this course, you\u2019ll be guided through a working example of a custom plug-in for a sensor using the DriveWorks SDK and implement core elements of the plugin.\nLearn how deep learning works through hands-on exercises in computer vision and natural language processing. You\u2019ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You\u2019ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.\nLearn how to quickly build and deploy production quality conversational AI applications with real-time transcription and natural language processing (NLP) capabilities.\nGet access to free SDKs, training, and technical resources to successfully build applications on all NVIDIA technology platforms by joining our Developer Program.\nAccelerate your startup by joining the NVIDIA Inception Program. It provides over 13,000 cutting-edge startups worldwide with critical go-to-market support, technical expertise, training, and introductions to funding opportunities.\nDevelop and master the skills you need in AI, HPC, and the metaverse through the NVIDIA Deep Learning Institute (DLI). Choose from a catalog of over 80 self-paced courses and instructor-led workshops.\nOur experts can help your business unlock new capabilities and take your success to the next level.",
    "https://www.nvidia.com/en-us/studio/professional-workstations/#nav-lvl1-tab4-lvl2-tab8": "Whether it's design, animation, video editing, or VFX \u2013 as an artist you are defined by your creativity and an unapologetic obsession for your craft. NVIDIA Studio desktop and mobile workstations are engineered to let you focus on your ideas, not your system. Packing the ultimate in performance, massive memory, and exclusive professional features, you have everything you need to deliver your finest work yet.\nWhen it comes to mission-critical work, performance is nothing without reliability. NVIDIA RTX workstations excel in both areas thanks to their meticulous design and innovation at every level. Expect supercharged performance from pro-grade graphics cards, CPUs, and ECC RAM while software application certifications, system optimizers, and enterprise-grade support provide you the confidence to work unhindered.\nNVIDIA Studio workstations feature NVIDIA RTX GPUs for professional graphics and compute performance. Thanks to up to 16GB of ECC memory in mobile systems and up to 48GB of ECC memory in a desktop, even the most complex projects are handled with ease. Plus, with NVIDIA RT Cores and Tensor Cores for real-time ray tracing and AI-acceleration, you can render photorealistic images, edit 8K video, color grade, or produce your next live broadcast spectacularly fast.\nWorking across multiple design apps simultaneously is an essential part of many creative workflows, which is why massive memory capacity matters. NVIDIA RTX delivers enough ultra-fast graphics memory and power letting you load huge project files, run all your creative apps at the same time, and still enjoy a smooth interactive design experience. No more worrying about performance and system stability, even the largest projects and the tightest deadlines are delivered effortlessly and stress-free.\nRender large scene files with ease in the application viewport with RTX-accelerated rendering and AI-denoising. Enhance performance and image quality with DLSS in select applications.\nBuild entire worlds in 3D with high-resolution textures and geometry with massive graphics memory capacities. Deliver complex renders free of errors with ECC memory and large GPU framebuffers\u2014up to 48GB from a desktop or server or up to 16GB from a laptop.\nCapture imaginations with large scale visualizations. Create a single, unified projected image with up to 32 high-resolution video panels using NVIDIA Mosaic multi-display technology with bezel correction. Overlap, blend, and adjust an image across up to 16 curved displays or surfaces for a pixel-perfect result with NVIDIA\u2019s Warp and Blend SDK.\nFor when you need to go big, NVIDIA Quadro Sync lets you synchronize multiple Quadro or NVIDIA RTX desktop GPUs with displays or projects to create large-scale visualizations.\nGPUDirect for Video accelerates your workflow by avoiding unnecessary system memory copies and CPU overhead. Your data goes straight to graphics card memory with GPUDirect for Video.\nCreate a personal render farm with a high-density multi-GPU workstation. NVIDIA RTX GPUs feature a unique blower design that gives you maximum flexibility for the entire system design. and are datacenter-tested and certified, giving you the reassurance and reliability for rack-mounted workstation and server solutions.\nArnold Standalone render done in time of scene, time (seconds).\nV-Ray 5.0 Benchmark \u2013 CUDA \u2013 Vpaths Score.\nBlender Cycles Open Data CLI OPTIX Geomean (Score \u2013 Samples/Minute).\nPerformance may vary by system, application workflow, or scene. Tests run on 13th Gen Intel(R) Core(TM) i7-13700H. 64GB system memory, NVIDIA Driver 528.07 MSHybrid. Apple MacBook Pro 16\" M2 Max SoC (12-Core CPU 3.5GHz, 38-Core GPU). GPU TGP: RTX 5000: (150W), RTX 4000: (115W), RTX 3500, RTX 3000: (80W), RTX 2000: (35W).\nNever run out of graphics memory again. With up to 48GB of memory from the desktop, or 16GB from a laptop, edit and grade up to 8K high-resolution video in real-time with more layers, transitions, and effects.\nDo more with video using AI or Machine Learning like AI up-res, auto-color matching, auto-reframing, Z-depth map extraction from faces, and much more.\nManage and customize your workspace for specific tasks like video editing and color grading with nView Desktop Management Software.\nAccelerate your workflow by avoiding unnecessary system memory copies and CPU overhead. Copy data straight to graphics card memory with GPUDirect for Video.\nDaVinci Resolve dual encoder test H265 - 8K time (s).\nRedCine-X Pro Geomean (FPS).\nAdobe Premiere Pro total encode time (2 tests) Total Time (Seconds).\nCreate compelling photorealistic renderings faster with lifelike reflections, shadows, and lighting with ray-tracing acceleration.\nHarness the power of artificial intelligence with features like DLSS and AI-accelerated denoising to remain in the creative flow while quickly exploring different design options.\nWalk through large 3D models at lifelike scale in virtual reality to view designs from all angles and viewpoints.\nHitting memory limits has become a thing of the past with up to 48GB of GPU memory in desktop workstations, or up to 16GB of GPU memory from a laptop.\nHave the creative freedom to use multiple applications simultaneously, with large GPU memory that enables simultaneous usage between graphic design, photography and 3D applications like Adobe Photoshop, Substance Painter, Lightroom and Dimension.\nUse the power of AI to enhance image quality, add effects, edit faster, and even create 3D assets from 2D images.\nCreate realistic, ray-traced 3D assets from high-quality photos, bringing real-world materials and objects into the virtual world.\nAdobe Photoshop - Super Resolution \u2013 BatchTimeSave Total Time (Seconds).\nThe future of advertising is becoming more immersive than ever. Create hyper-realistic virtual and augmented realities using high-performance professional graphics cards in both desktop and mobile workstations.\nFrom digital signage to massive video walls and immersive domes capture imaginations with the largest, most engaging experiences. Leverage features like Mosaic multi-display, warp and blend, and Quadro Sync.\nIn the broadcast game, time is money. NVIDIA RTX graphics cards bring you the best in AI, on-air graphics, virtual sets and video editing, plus unrestricted video encoding sessions to ensure smooth operation when it matters most.\nFind the Perfect Professional RTX Studio Product for You\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/industries/media-entertainment/#nav-lvl1-tab4-lvl2-tab2": "AI-Enabled Content Creation, Distribution, and Consumption\nNew technologies are transforming the media and entertainment industry\u2014 AI-accelerated production pipelines deliver higher-quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.\nFor decades, NVIDIA has helped create and deliver award-winning content, and now it\u2019s redefining the future of M&E with state-of-the-art AI, hardware, software platforms, and networking solutions.\nHear from innovators and creators who are using NVIDIA GPUs to deliver captivating cinematic experiences. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX\u2122 All Stars.\nDiscover the power of AI, generative AI, virtual production, cloud-based workflows, and immersive graphics revolutionizing content creation, delivery, and consumption.\nAccelerate production pipelines with AI and real-time technologies.\nThe world's top film and television studios use NVIDIA technologies to power the most advanced, visually rich feature films and TV shows ever made. Discover how NVIDIA AI, RTX graphics, and state-of-the-art hardware and software platforms help make box office record-breakers, hit TV shows, and Academy Award-winning pictures possible.\nSolutions for immersive real-time graphics, IP video, and AI.\nNVIDIA technologies are helping broadcasters revolutionize how content is created, managed, distributed, and consumed. The latest enterprise-class NVIDIA GPUs, combined with NVIDIA networking technologies, enable all-new workflows for live broadcast. Gain new creative capabilities and deliver incredible viewer experiences with AI solutions and next-generation infrastructure.\nBuild brands, engage customers, and deliver insights with AI.\nConsumer behaviors are changing rapidly with the proliferation of high-performance connected devices. Agencies and corporate in-house creative teams must innovate with dynamic, experiential, and branded content that captivates and engages audiences in new ways. With NVIDIA GPUs, real-time technologies, and artificial intelligence, advertisers and brand leaders can create immersive real-time experiences while gaining much deeper consumer insights across all platforms.\nReal-time graphics, AI, virtualization, and data analytics solutions.\nNVIDIA RTX enables gaming companies to create breathtaking, interactive worlds with performance that exceeds gamers\u2019 expectations. Increasingly, game developers are making full use of virtualized production pipelines, integrating real-time ray tracing, and leveraging AI for deeper customer insights.\nLearn from global leaders in media and entertainment about the impact of real-time graphics, AI, and high-performance networking.\nCourtesy of Sony Pictures Animation\nSony Pictures Animation developed FlixiVerse, an app built on Omniverse Enterprise, allowing 2D artists to accelerate creative workflows with more iterations and easier transitions into 3D environments. See how they leveraged OpenUSD and Nucleus\u2019 auto-updating capabilities to give their artists greater control in pre-production.\nHear from innovators and creators across the M&E industry who are using RTX solutions to deliver captivating cinematic experiences in film and television. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX All Stars.\nRegistration Required\nImage courtesy of WPP\nThe world\u2019s largest marketing services organization is the first to launch automotive marketing services on Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nImage courtesy of V\u016b\nFrom powering LED Volumes and artist workstations to enabling AI and Generative AI workflows, the NVIDIA RTX\u2122 5000 Ada Generation GPU gives V\u016b the power and reliability to unleash the full potential of creative content.\nImage courtesy of V\u016b\nBroadcasters can automatically generate videos with text and develop lifelike virtual humans with Hour One\u2019s solutions, powered by NVIDIA Technologies.\nThe sheer power provided by the new RTX 6000 Ada GPUs has had a massive impact on how we interact with Neural Radiance Fields\u2026 What NVIDIA and HP have done not only makes existing graphically demanding tasks even faster, but it also unlocks a new chapter in real-time workflows that was simply not possible until now.\n\u2014 Landis Fields, Real-Time Principal Creative, Industrial Light & Magic\nThe NVIDIA RTX 6000 Ada Generation GPU is one step ahead of our evolving real-time pipeline for live-action filmmakers. It's adding efficiency, ease, and, more importantly, creative power directly to filmmakers.\n\u2014 Rapha\u00ebl Goudin, Virtual Production Supervisor, Versatile Media Ltd.\nNVIDIA continues to deliver solutions that light the path forward for an industry in transition, easing the adoption of the latest standards, and bringing flexibility and scalability to the broadcast market.\nNew Omniverse platform updates, connections to Adobe Firefly, and Ada-Generation systems to accelerate interoperable 3D workflows and industrial digitalization.\n20th Century Studios\nThe Academy Award nominations are in\u2014and for the 15th year in a row\u2014NVIDIA technologies worked behind the scenes of every film nominated for Best Visual Effects.\nExplore a hub of SDKs, resources, and news for developers working in the Media and Entertainment industry.\nFeatured\nSee how NVIDIA and our partners are helping the industry accelerate their production pipelines, deliver higher quality content, enhance live entertainment, and optimize distribution and monetization.\nVideos\nDevelop custom 3D pipelines and simulate large-scale, physically accurate virtual worlds with NVIDIA Omniverse Enterprise.\nStreamline building a state-of-the-art session-based recommender pipeline with this new free hands-on lab.\nThis session will walk you through what Universal Scene Description (USD) is, how assets are constructed with it, and why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nHelp us inspire the next generation by joining the NVIDIA Partner Network (NPN).\nOur experts can help your business unlock its potential.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/industries/media-entertainment/#news-events": "AI-Enabled Content Creation, Distribution, and Consumption\nNew technologies are transforming the media and entertainment industry\u2014 AI-accelerated production pipelines deliver higher-quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.\nFor decades, NVIDIA has helped create and deliver award-winning content, and now it\u2019s redefining the future of M&E with state-of-the-art AI, hardware, software platforms, and networking solutions.\nHear from innovators and creators who are using NVIDIA GPUs to deliver captivating cinematic experiences. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX\u2122 All Stars.\nDiscover the power of AI, generative AI, virtual production, cloud-based workflows, and immersive graphics revolutionizing content creation, delivery, and consumption.\nAccelerate production pipelines with AI and real-time technologies.\nThe world's top film and television studios use NVIDIA technologies to power the most advanced, visually rich feature films and TV shows ever made. Discover how NVIDIA AI, RTX graphics, and state-of-the-art hardware and software platforms help make box office record-breakers, hit TV shows, and Academy Award-winning pictures possible.\nSolutions for immersive real-time graphics, IP video, and AI.\nNVIDIA technologies are helping broadcasters revolutionize how content is created, managed, distributed, and consumed. The latest enterprise-class NVIDIA GPUs, combined with NVIDIA networking technologies, enable all-new workflows for live broadcast. Gain new creative capabilities and deliver incredible viewer experiences with AI solutions and next-generation infrastructure.\nBuild brands, engage customers, and deliver insights with AI.\nConsumer behaviors are changing rapidly with the proliferation of high-performance connected devices. Agencies and corporate in-house creative teams must innovate with dynamic, experiential, and branded content that captivates and engages audiences in new ways. With NVIDIA GPUs, real-time technologies, and artificial intelligence, advertisers and brand leaders can create immersive real-time experiences while gaining much deeper consumer insights across all platforms.\nReal-time graphics, AI, virtualization, and data analytics solutions.\nNVIDIA RTX enables gaming companies to create breathtaking, interactive worlds with performance that exceeds gamers\u2019 expectations. Increasingly, game developers are making full use of virtualized production pipelines, integrating real-time ray tracing, and leveraging AI for deeper customer insights.\nLearn from global leaders in media and entertainment about the impact of real-time graphics, AI, and high-performance networking.\nCourtesy of Sony Pictures Animation\nSony Pictures Animation developed FlixiVerse, an app built on Omniverse Enterprise, allowing 2D artists to accelerate creative workflows with more iterations and easier transitions into 3D environments. See how they leveraged OpenUSD and Nucleus\u2019 auto-updating capabilities to give their artists greater control in pre-production.\nHear from innovators and creators across the M&E industry who are using RTX solutions to deliver captivating cinematic experiences in film and television. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX All Stars.\nRegistration Required\nImage courtesy of WPP\nThe world\u2019s largest marketing services organization is the first to launch automotive marketing services on Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nImage courtesy of V\u016b\nFrom powering LED Volumes and artist workstations to enabling AI and Generative AI workflows, the NVIDIA RTX\u2122 5000 Ada Generation GPU gives V\u016b the power and reliability to unleash the full potential of creative content.\nImage courtesy of V\u016b\nBroadcasters can automatically generate videos with text and develop lifelike virtual humans with Hour One\u2019s solutions, powered by NVIDIA Technologies.\nThe sheer power provided by the new RTX 6000 Ada GPUs has had a massive impact on how we interact with Neural Radiance Fields\u2026 What NVIDIA and HP have done not only makes existing graphically demanding tasks even faster, but it also unlocks a new chapter in real-time workflows that was simply not possible until now.\n\u2014 Landis Fields, Real-Time Principal Creative, Industrial Light & Magic\nThe NVIDIA RTX 6000 Ada Generation GPU is one step ahead of our evolving real-time pipeline for live-action filmmakers. It's adding efficiency, ease, and, more importantly, creative power directly to filmmakers.\n\u2014 Rapha\u00ebl Goudin, Virtual Production Supervisor, Versatile Media Ltd.\nNVIDIA continues to deliver solutions that light the path forward for an industry in transition, easing the adoption of the latest standards, and bringing flexibility and scalability to the broadcast market.\nNew Omniverse platform updates, connections to Adobe Firefly, and Ada-Generation systems to accelerate interoperable 3D workflows and industrial digitalization.\n20th Century Studios\nThe Academy Award nominations are in\u2014and for the 15th year in a row\u2014NVIDIA technologies worked behind the scenes of every film nominated for Best Visual Effects.\nExplore a hub of SDKs, resources, and news for developers working in the Media and Entertainment industry.\nFeatured\nSee how NVIDIA and our partners are helping the industry accelerate their production pipelines, deliver higher quality content, enhance live entertainment, and optimize distribution and monetization.\nVideos\nDevelop custom 3D pipelines and simulate large-scale, physically accurate virtual worlds with NVIDIA Omniverse Enterprise.\nStreamline building a state-of-the-art session-based recommender pipeline with this new free hands-on lab.\nThis session will walk you through what Universal Scene Description (USD) is, how assets are constructed with it, and why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nHelp us inspire the next generation by joining the NVIDIA Partner Network (NPN).\nOur experts can help your business unlock its potential.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/networking/multi-host/#nav-lvl1-tab4-lvl2-tab5": "Eliminate Performance Bottlenecks\nNVIDIA\u00ae Mellanox\u00ae Multi-Host technology enables next generation Cloud, Web 2.0 and high-performance data centers to design and build new scale-out heterogeneous compute and storage racks with direct connectivity between multiple hosts and the centralized network controller. This enables direct data access with the lowest latency to significantly improve densities and maximizes data transfer rates.\nNVIDIA\u2019s Multi-Host technology provides the ability to allow multiple compute or storage hosts to connect into a single interconnect adapter, by separating the adapter PCIe bus into several independent interfaces. Each interface connects to a separate host CPU\u2014with no performance degradation and improves operational agility and efficiency.\nImage courtesy of Facebook: Yosemite V3 multi-host server\nThe ConnectX-6 Dx SmartNIC adds significant improvements to NVIDIA Multi-Host applications by offering advanced QoS features that ensure complete isolation among the multiple hosts connected to the NIC, and by achieving superior fairness among the hosts. ConnectX-6 Dx is equipped with a large shared ingress buffer designed to hold bursty traffic when the incoming traffic rate exceeds the rate of traffic that can be absorbed by the host. The shared buffer configuration allows a single flow to consume the entire buffer space when no competition for buffer usage exists. When multiple flows consume the shared ingress buffer, the buffer is allocated in a manner that ensures that each host and each priority within the hosts are served in a fair manner.\nMulti-Host enables direct connectivity from multiple hosts to a single network controller. Allowing flexible and heterogeneous data center design with direct access to data while reducing capital and operating expenses.\nMulti-Host technology allows for different CPU architectures (x86, Power, ARM, etc.) and each host to be kept completely independent from the others. Hosts sharing the same network interface save on switch ports, cables, real estate and power.\nMulti-Host technology allows direct connectivity from multiple hosts to the network, enabling direct data access which lowers latency and overcomes performance bottlenecks to maximize data processing and transfer rates.\nConnectX Ethernet Adapter Card Brochure for OCP\nMulti-Host Evaluation Kit\nMulti-Host Evaluation Kit User Manual\nExternally Connected Multi-Host Solution\nConnectX-6 Dx Product Brief\nConnectX-6 VPI IC Product Brief\nConnectX-5 VPI Socket Direct Product Brief\nConnectX-5 VPI IC Product Brief\nConnectX-4 Lx for OCP Product Brief\nMaximizing Server Performance with NVIDIA Socket Direct Adapters\nDUG's Massive Cloud Service\nWe're here to help you build the most efficient, high performance network.",
    "https://www.nvidia.com/en-us/networking/infiniband-switching/#nav-lvl1-tab2": "Complex workloads demand ultra-fast processing of high-resolution simulations, extreme-size datasets, and highly parallelized algorithms. As these computing requirements continue to grow, NVIDIA Quantum InfiniBand\u2014the world\u2019s only fully offloadable, In-Network Computing platform\u2014provides the dramatic leap in performance needed to achieve unmatched data center performance with less cost and complexity.",
    "https://www.nvidia.com/en-us/on-demand/session/iscdigital2021-iscd2104": "Artificial Intelligence Computing Leadership from NVIDIA\nMy Account\nLog In\nLog Out\nEN\nEN\n\u7b80\u4e2d\n\u65e5\u672c\u8a9e\n\ud55c\uad6d\uc5b4\n\u7e41\u4e2d\nNVIDIA On-Demand\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nThis site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. 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You may contact us by sending an email to <a href=\"mailto:[email protected]\">[email protected]</a> to resolve related problems.\nSubmit\nFollow NVIDIA\nFacebook\nInstagram\nLinkedIn\nTwitter\nYouTube\nNVIDIA\nUnited States\nPrivacy Policy\nManage My Privacy\nDo Not Sell or Share My Data\nTerms of Service\nAccessibility\nCorporate Policies\nProduct Security\nContact\nCopyright \u00a9 2024 NVIDIA Corporation",
    "https://www.nvidia.com/en-us/industries/industrial-sector/siemens/#nav-lvl1-tab4-lvl2-tab8": "NVIDIA and Siemens are collaborating to connect the Siemens Xcelerator and NVIDIA Omniverse platforms to unlock industrial digitalization.\nSee how NVIDIA and Siemens are revolutionizing manufacturing and product lifecycle management by unifying data with Universal Scene Description (OpenUSD).\nSee how Siemens is bringing the real and digital worlds even closer by integrating NVIDIA Omniverse technologies into Teamcenter X, built on the Siemens Xcelerator platform.\nSiemens is driving a new era of industrial digitalization with NVIDIA Omniverse and generative AI integration across the Siemens Xcelerator portfolio.\nOmniverse Cloud will be available as APIs, extending the reach of the world\u2019s leading platform for creating industrial digital twins across the entire ecosystem of software makers.\nThe integration between Siemens Xcelerator and NVIDIA Omniverse enables FREYR Battery to meet surging demand for high-density, cost-effective battery cells.\nTo achieve climate neutrality by 2050, German national railway operator, Deutsche Bahn, is building autonomous railway networks and trains to maximize efficiency of existing railroad capacity for the transport of goods and passengers.\nHear from NVIDIA CEO Jensen Huang, Siemens CEO Roland Busch, and BMW AG board member Milan Nedeljkovi\u0107 as they discuss the next stage of industrial automation.\nConnecting Siemens Xcelerator and NVIDIA Omniverse will usher in a new era of industrial automation, enabling industrial companies of all sizes to build closed-loop, truly real-time, full-design-fidelity immersive digital twins.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/omniverse/solutions/digital-twins/#nav-lvl1-tab4-lvl2-tab7": "Harness the power of large-scale, physically-based OpenUSD simulation for industrial applications.\nVideo courtesy of HEAVY.AI\nWith NVIDIA Omniverse\u2122 Enterprise deployed on NVIDIA OVX\u2122, developers are building applications to power physically-based, AI-enabled digital twins, giving them the superpowers to design, simulate, and optimize products, equipment, and processes in real time before going to production.\nSiemens and NVIDIA are collaborating to connect the Siemens Xcelerator and NVIDIA Omniverse platforms to unlock industrial digitalization.\n\u201cFor over a decade, our digital twin technology has been helping customers across all industries to boost their productivity and today offer the industry\u2019s most comprehensive digital twin. When Siemens Xcelerator is connected to Omniverse, we will enable a real-time, immersive metaverse that connects hardware and software, from the edge to the cloud with rich data from Siemens\u2019 software and solutions.\u201d\n\u2014 Roland Busch, President and Chief Executive Officer, Siemens AG\nSee the ecosystem of developers that are integrating Omniverse OpenUSD and RTX technologies into their software, solution, and services portfolios.\nDeveloper Use Cases\nBMW Group\nWPP\nDENZA\nMercedes-Benz\nSiemens Energy\nSiemens Gamesa\nU.K. Atomic Energy Authority\nHEAVY.AI\nNVIDIA\nSiemens\nDelta Electronics\nPegatron\nWistron\nAmazon Robotics\nLowe\u2019s\nPepsiCo\nEarth-2 Data: DKRZ/MPI-M, ICON Model\nCesium\nLockheed Martin and NVIDIA\nAnnouncements\nNVIDIA and Intrinsic jointly announced foundation models enabled by NVIDIA Isaac Manipulator and Intrinsic\u2019s FlowState.\nAnsys, Cadence, Hexagon, Microsoft, Rockwell Automation, Siemens, and Trimble adopt Omniverse technologies to help customers design, simulate, build, and operate physically based digital twins.\nNew Omniverse Cloud APIs to let developers beam interactive, industrial digital twins into spatial computing.\nScalable cloud services bring state-of-the-art simulation capabilities to AV, robotics, and computer vision developers.\nDigital twin reference architecture supported by Ansys, Cadence, Patch Manager, Schneider Electric, Vertive, and more sets the foundation for highly efficient AI infrastructure.\nIntegrating digital twins and generative AI from NVIDIA Omniverse into Siemens Teamcenter X is transforming the way products are designed and manufactured.\nOrchestrate 3D data pipelines to design, develop, and visualize digital twins and large-scale virtual simulation environments.\nPower photorealistic, physically accurate virtual environments with scalable robotics simulation and synthetic data generation.\nPower digital twins and complex simulation workloads at scale with a purpose-built system.\nDeliver AI safely and securely to support human and machine collaboration.\nNVIDIA Omniverse\u2122 Cloud is a platform-as-a-service providing developers a full-stack cloud environment to design, develop, deploy, and manage industrial digitalization applications.\nResources\nRead our \u201c5 Steps to Get Started with Digital Twins\u201d ebook, explore example use cases, or reach out to an Omniverse specialist.\nSessions from GTC\nUse Case\nFree Trial\nThank you for your interest in NVIDIA Omniverse Enterprise, Omniverse Cloud, and OVX. We would love to help you get started. Fill out the form and an expert will get back to you shortly.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/finance/": "Accelerate financial services with AI.\nMassive datasets. Perpetual market fluctuations. Customer inquiries. Intelligent technology can address critical challenges within the modern financial services industry. With NVIDIA\u2019s AI solutions\u2014for generative AI, large language models (LLMs), data analytics, and more\u2014institutions can optimize trading, detect transaction fraud, and enhance customer experiences.\nDive into the data compiled from a survey of over 400 financial services professionals from around the world. Discover the trends, challenges, and opportunities that will define the state of AI in financial services in 2024.\nImprove your team\u2019s fraud detection and risk assessment workloads with NVIDIA RAPIDS\u2122 Accelerated Apache Spark.\nHarness accelerated computing for trading.\nFaster processing results in smarter trading strategies, more successful trade execution, and increased revenue so firms can remain competitive.\nIntelligent document processing with generative AI lets financial institutions gather insights from unstructured data, enabling faster decision-making and reducing the risk of financial losses.\nWith the NVIDIA AI platform, firms can learn from vast amounts of data and respond quickly to market fluctuations.\nEnhance customer service with generative AI.\nAs the global service economy grows, banks are relying increasingly on contact centers to drive better customer experiences and operational efficiency.\nBanks can enhance customer interactions with generative AI-powered chatbots. Using retrieval-augmented generation (RAG), these chatbots can deliver more accurate, personalized, and sophisticated responses than traditional chatbot solutions.\nPrevent fraud with end-to-end data science.\nFinancial institutions need to detect and prevent fraudulent activities, including identity theft, account takeover, and money laundering. AI-enabled applications can reduce false positives in transaction fraud detection, enhance identity verification accuracy for know-your-customer (KYC) requirements, and boost the effectiveness of anti-money laundering (AML) efforts.\nThe NVIDIA RAPIDS Accelerator for Apache Spark accelerates processing time up to 5X or more and allows the same work to be completed with 4X less infrastructure cost.\nFeatured\nExplore how financial institutions can boost risk management, improve security, reduce fraud, and enhance customer experiences with AI.\nWebinars\nLearn how to build and execute end-to-end GPU-accelerated data science workflows that lets you quickly explore, iterate, and get your work into production in this self-paced lab. Using the RAPIDS accelerated data science libraries, you'll learn how to apply a wide variety of GPU-accelerated machine learning algorithms to perform data analysis at scale.\nIn this free, self-paced course, get hands-on experience developing and deploying the NVIDIA Morpheus digital fingerprinting AI workflow, which enables 100 percent data visibility and drastically reduces the time to detect threats.\nIn this instructor-led, hands-on workshop, learn how to quickly build and deploy production-quality conversational AI applications with real-time transcription and natural language processing capabilities using NVIDIA Riva framework.\nJoin the free NVIDIA Developer Program to take a complimentary self-paced course.\nHear how modern machine learning techniques have become a key tool for financial and credit analysis at Capital One.\nLearn how top players in the banking world are using AI, how their efforts have been impacted by the pandemic, and who should be doing what to further the use of this technology.\nHear about all things fintech, the importance of data scientists in communication, and where to draw the line between AI and humans.\nExplore the latest trends for leveraging intelligent technology and explainable AI in fintech and the NVIDIA products and services supporting the industry.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nLearn how financial institutions and firms are using AI to optimize processes, reduce risk, and trim costs.\nWealthsimple\nWealthsimple turned to NVIDIA\u2019s AI inference platform to accelerate time to market for their machine learning models\u2014used to deliver white-glove experiences to wealth management clients.\nAmerican Express is implementing a real-time fraud detection system with NVIDIA technology that operates within a two-millisecond latency requirement and delivers:\nDrivers can get auto repair estimates in seconds instead of days with AI-driven insurance applications from CCC Intelligent Solutions with an assist from NVIDIA DGX\u2122 Cloud and Base Command\u2122 Platform.\nTalkmap is a revolutionary conversational intelligence and automation platform that a world-leading fintech company used to automate their large data science team\u2019s two-year effort, delivering:\nAI, ML, and data will be a game changer in banking, and our partnership with NVIDIA is further evidence that we are committed to redefining what is possible for our clients.\n\u2014 Christian Sewing, CEO, Deutsche Bank\nFor our production environment, speed is extremely important with decisions made in a matter of milliseconds, so the best solution to use are NVIDIA GPUs.\n\u2014 Dmitriy Efimov, Vice President of Machine Learning, American Express\nUsing NVIDIA GPU-powered image analysis and AI, we can identify damages, automate claims handling for simple and clean cases, estimate costs and identify fraudulent claims.\n\u2014 Ping An (China\u2019s Largest P&C Insurer)\nAs more companies adopt conversational AI, empathy plays a larger role in the customer experience \u2013 and, ultimately, growth factors like profitability, customer retention and brand equity.\n\u2014 Helen Yu, Global Influencer and Podcast Host\nNVIDIA GPU-accelerated computing makes it possible to use AI processing to accelerate payments, invoicing, and trade collaboration between businesses and offer a seamless user experience that\u2019s at the same time secure.\n\u2014 Efi Pylarinou, Global Fintech Influencer\nFactories for complex data processing, AI, simulation, and visualization help the industry build resilient, sustainable, and profitable investment products/services in a customized, transparent, and explainable way.\n\u2014 CFA Institute, Handbook of Artificial Intelligence and Big Data Applications in Investments\nEven though the banking industry in general has been trying to get to the cloud, we see a great need in being able to do experiments on premises, and for that, we have a few DGX servers and they\u2019ve been a great help in this journey toward a center of excellence.\n\u2014 Soumitri Kolavennu, SVP and Head of AI Research, U.S. Bank\nBNY Mellon has announced that they\u2019re the first major bank to deploy an NVIDIA DGX SuperPOD\u2122 with DGX H100 systems.\nJoin us at Money20/20 Europe, June 4\u20136. Hear from leaders in banking and payments as we host sessions, fireside chats, demos, and networking events with our partners.\nExplore NVIDIA's cutting-edge AI accelerated computing platform. Revolutionize customer experiences with NVIDIA NIM microservices, which enable efficient, scalable AI deployment for solutions in financial services.\nNVIDIA RAPIDS can accelerate data science pipelines up to 4X faster at less cost with no code change. Financial institutions can reduce false positives in transaction fraud detection and enhance identity verification for anti-money laundering, improving both the customer experience and the institution\u2019s financial health with NVIDIA\u2019s AI platform.\nThe NVIDIA HPC SDK allows for improved accuracy of risk assessments, accelerated time to market, and increased revenue. Faster processing results in smarter trading strategies and more successful trade execution.\nNVIDIA NIM, part of NVIDIA AI Enterprise, accelerates the deployment of generative AI, allowing organizations to train LLMs and seamlessly run AI inference at scale.\nWith NVIDIA\u2019s AI platform, financial institutions can harness the power of generative AI and HPC to learn from vast amounts of data and respond quickly to market fluctuations.\nAI-led applications are critical to the modernization and success of customer service chatbots for call center environments, offering an opportunity to improve customer satisfaction and reduce costs. Financial institutions can build and deploy generative AI models with NVIDIA NeMo\u2122 and develop custom speech applications with NVIDIA\u00ae Riva to communicate with customers effectively.\nOur solutions for the Financial Services industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products and services.\nOur experts can help your business unlock potential and unleash innovation.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/energy/oil-gas-operations/#use-cases": "Accelerate subsurface workloads with AI, high-performance computing (HPC) and visualization.\nOil and gas enterprises are becoming integrated energy companies, using improved processes to better explore, produce, transport, and distribute fuels to consumers around the world. Global initiatives for decarbonization are accelerating the transition from fossil fuels to alternative fuels with a smaller carbon footprint and scaling renewable energy, such as wind, solar, nuclear, hydroelectric, green hydrogen and geothermal.\nLearn how ExxonMobil, Shell, SLB, and Petrobras are using AI and HPC to enhance energy exploration and production, reduce operational emissions, and accelerate carbon capture, utilization, and storage (CCUS) development.\nSee how Stone Ridge Technology accelerated simulations of multi-million-cell deep-water reservoirs, offshore oil fields, and deep-water gas fields with ECHELON 2.0 running on Eni's HPC5 cluster.\nLearn from energy companies using AI to improve energy production and reduce operating costs.\nLearn how Saudi Aramco built an AI assistant to enhance seismic data processing\u2014compiled with NVIDIA\u00ae TensorRT\u2122-LLM, deployed using NVIDIA Triton\u2122 Inference Server, and fine-tuned with NVIDIA NeMo\u2122 Guardrails.\nSaudi Aramco\nLearn how Petrobras built SolverBR\u2014a specialized linear solver powered by the Arm\u00ae-based NVIDIA Grace\u2122 CPU\u2014and achieved up to a 60 percent speedup in reservoir simulations.\nLearn how Shell used NVIDIA DGX systems to determine salt boundaries in reservoir modeling, enable 4K iterative image reconstruction, test new designs for industrial plants, and drive advancements in sustainable new materials.\nShell\nAs the world moves toward a more sustainable future, global leaders in energy are accelerating their key HPC and AI workloads with NVIDIA\u2019s full-stack platform. The result? Some of the most powerful, efficient supercomputers in the industry\u2014including those from Eni, ExxonMobil, Petrobras, Saudi Aramco, Total, and the U.S. Department of Energy\u2014are built on NVIDIA technology and continually rank near the top of the TOP500 and Green500 lists.\nOur collaboration with NVIDIA provides great value because NVIDIA brings expertise in AI and a powerful HPC platform to conduct these studies. Conversely, Shell injects realism and provides the energy experience that provides great value to NVIDIA.\n\u2013 Detlef Hohl, Chief Scientist of Computation and Data Science, Shell\nShell has ongoing work with NVIDIA: more realistic 3D reservoir models (e.g., dipping reservoir) for CO2 storage, layered geology with horizontal and vertical heterogeneity, computationally efficient FNO-based networks dealing larger input datasets and providing acceptable predictions over longer time windows (hundreds of years), and next-generation digital twin models of deep earth for carbon capture and storage (CCS) applications in real time with uncertainty assessment.\n\u2013 Pandu Devarakota, Principal Science Expert, Shell\nIn 2022, over 70 percent of computing resources at BP\u2019s Center for High-Performance Computing were used by reverse time migration (RTM)-related applications. In RTM benchmarking and validation tests, we found that one NVIDIA HGX A100 with no compression achieved up to a 35X peak shot runtime speedup compared to our in-house CLXAP cluster.\n\u2013 Muhong Zhou, Senior HPC Software Developer, BP\nWe can examine the contribution of AI to the energy sector from three dimensions: energy forecasting, carbon capture, and predictive maintenance... AI algorithms are being used for energy forecasting, to predict energy demand, and to optimize economic value... AI can be used to reduce carbon emissions by analyzing data from multiple sources regarding weather, soil, and crop yield... to optimize our supply chain logistics and reduce our carbon footprint... AI can also help energy companies monitor the performance of their assets and equipment.\n\u2013 Nayef Otaibi, Vice President and Chief Digital Officer, Saudi Aramco\nThe exploration and production (E&P) industry generates a vast amount of data, including well logs, seismic data, production data, drilling data, and other sources. Natural language processing (NLP) and large language models (LLMs) have provided the ability to integrate sources with descriptive, diagnostic, prescriptive, and predictive insights that enhance return on investment. In reservoir modeling, NLP and LLMs improve integrating sources from well logs, seismic data, and production data\u2014bringing critical understanding to the subsurface that\u2019s significant to our operations.\n\u2013 Saud Zakwani, Head of Data Science, Petroleum Development Oman\nAI can help in site selection and allocation by studying the physics, geology, and metrology of different locations to optimize solar plants or wind farms and make them more cost-effective and productive. Once facilities are deployed, we can look at AI to balance the grid and identify production capacity predicted from renewable energy. AI can help optimize a large installation of batteries, such as charging and discharging or maintenance issues.\n\u2013 Yehia Khoja, Ministry of Energy, Head of AI and Business Development, Kingdom of Saudi Arabia\nSystems powered by NVIDIA A100 80GB Tensor Core GPUs demonstrate superb performance uplifts compared to CPU performance running SLB\u2019s INTERSECT high-resolution reservoir simulator.\nShearwater GeoServices is optimizing their Reveal seismic processing software for NVIDIA GPUs to help energy companies enhance seismic data and efficiently run compute-intensive imaging algorithms.\nImage courtesy of AWS and MATLAB.\nUnderstand how geoscientists can use shallow deep learning-based algorithms with MATLAB on AWS and AI models to automatically recognize distinct geologic features in seismic images.\nLearn how to develop and deploy AI-based seismic facies classification by leveraging cloud-based HPC resources for faster prototyping and development with large 3D seismic datasets.\nLearn about the AI and HPC hardware and software for oil and gas.\nNVIDIA DGX H100 expands the frontiers of business innovation and optimization. The latest iteration of NVIDIA\u2019s legendary DGX systems and the foundation of NVIDIA DGX SuperPOD\u2122, DGX H100 is the AI powerhouse that\u2019s accelerated by the groundbreaking performance of the NVIDIA H100 Tensor Core GPU.\nNVIDIA DGX SuperPOD is an AI data center infrastructure platform that enables IT to deliver performance without compromise for every user and workload. DGX SuperPOD offers leadership-class accelerated infrastructure and agile, scalable performance for the most challenging AI and HPC workloads, with industry-proven results.\nNVIDIA DGX Cloud is a multi-node AI-training-as-a-service solution optimized for the unique demands of enterprise AI. Access NVIDIA DGX Cloud to experience a combined software and infrastructure solution for AI training that includes a full-stack AI developer suite, leadership-class infrastructure, and concierge support.\nThe NVIDIA Grace\u2122 Hopper\u2122 Superchip is a breakthrough accelerated CPU designed from the ground up for giant-scale AI and HPC applications. The superchip delivers up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world\u2019s most complex problems.\nThe NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries, and software tools essential to maximizing developer productivity and the performance and portability of HPC modeling and simulation applications.\nWith NVIDIA AI Enterprise, energy companies can speed up development of use case applications, such as reservoir simulation, seismic processing, and predictive maintenance. Learn how to get access to NVIDIA AI Enterprise with free curated labs to start testing.\nNVIDIA vGPU software enables powerful GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization, as well as the performance of NVIDIA GPUs required for modern workloads.\nNVIDIA NeMo\u2122, part of the NVIDIA AI platform, is an end-to-end, cloud-native enterprise framework for building, customizing, and deploying generative AI models with billions of parameters. Energy companies are exploring large language models in sentiment analysis for oil price prediction, as well as integrating sources from well logs, seismic data, and production data to generate real-time insights.\nNVIDIA Metropolis features GPU-accelerated SDKs and developer tools that help developers optimally build, deploy, and scale AI-enabled video analytics and IoT applications\u2014from the edge to the cloud.\nUse NVIDIA RAPIDS\u2122 to apply a wide variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH\u2019s single-source shortest path, cuML\u2019s k-nearest neighbor (KNN), DBSCAN, and logistic regression, for data analysis at scale.\nGain an understanding of the various building blocks of NVIDIA Modulus, the basics of physics-informed deep learning, and how the framework integrates with the overall NVIDIA Omniverse\u2122 platform.\nLearn how to reduce complexity and improve portability and efficiency of your code by using a containerized environment for HPC application development.\nLearn how to use NVIDIA Base Command\u2122 Platform to accelerate containerized AI training workloads, identify the tools necessary to build an AI center of excellence, and get the basics of working with, modifying, and running Docker containers from NVIDIA NGC\u2122.\nTransform your AI workloads with the NVIDIA H100 Tensor Core GPU, featuring Multi-Instance GPU (MIG), the Transformer Engine, and NVIDIA AI Enterprise.\nExplore NVIDIA Inception, the free program designed to help startups evolve faster through access to cutting-edge technology and NVIDIA experts, connections with venture capitalists, and co-marketing support to raise visibility.\nConnect with millions of like-minded developers in the NVIDIA Developer Program to do your life\u2019s work, and gain access to free containers, pretrained models, SDKs, technical documentation, and peer and domain expert help.\nExpand and support your portfolio with NVIDIA\u2019s Venture Capital (VC) Alliance, an initiative between NVIDIA and investors around the world who are focused on startups building cutting-edge technology with AI, data science, and HPC.\nNVIDIA solutions for the energy industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.\nChat with NVIDIA energy experts to help solve your business challenges.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/omniverse/solutions/digital-twins/#solutions": "Harness the power of large-scale, physically-based OpenUSD simulation for industrial applications.\nVideo courtesy of HEAVY.AI\nWith NVIDIA Omniverse\u2122 Enterprise deployed on NVIDIA OVX\u2122, developers are building applications to power physically-based, AI-enabled digital twins, giving them the superpowers to design, simulate, and optimize products, equipment, and processes in real time before going to production.\nSiemens and NVIDIA are collaborating to connect the Siemens Xcelerator and NVIDIA Omniverse platforms to unlock industrial digitalization.\n\u201cFor over a decade, our digital twin technology has been helping customers across all industries to boost their productivity and today offer the industry\u2019s most comprehensive digital twin. When Siemens Xcelerator is connected to Omniverse, we will enable a real-time, immersive metaverse that connects hardware and software, from the edge to the cloud with rich data from Siemens\u2019 software and solutions.\u201d\n\u2014 Roland Busch, President and Chief Executive Officer, Siemens AG\nSee the ecosystem of developers that are integrating Omniverse OpenUSD and RTX technologies into their software, solution, and services portfolios.\nDeveloper Use Cases\nBMW Group\nWPP\nDENZA\nMercedes-Benz\nSiemens Energy\nSiemens Gamesa\nU.K. Atomic Energy Authority\nHEAVY.AI\nNVIDIA\nSiemens\nDelta Electronics\nPegatron\nWistron\nAmazon Robotics\nLowe\u2019s\nPepsiCo\nEarth-2 Data: DKRZ/MPI-M, ICON Model\nCesium\nLockheed Martin and NVIDIA\nAnnouncements\nNVIDIA and Intrinsic jointly announced foundation models enabled by NVIDIA Isaac Manipulator and Intrinsic\u2019s FlowState.\nAnsys, Cadence, Hexagon, Microsoft, Rockwell Automation, Siemens, and Trimble adopt Omniverse technologies to help customers design, simulate, build, and operate physically based digital twins.\nNew Omniverse Cloud APIs to let developers beam interactive, industrial digital twins into spatial computing.\nScalable cloud services bring state-of-the-art simulation capabilities to AV, robotics, and computer vision developers.\nDigital twin reference architecture supported by Ansys, Cadence, Patch Manager, Schneider Electric, Vertive, and more sets the foundation for highly efficient AI infrastructure.\nIntegrating digital twins and generative AI from NVIDIA Omniverse into Siemens Teamcenter X is transforming the way products are designed and manufactured.\nOrchestrate 3D data pipelines to design, develop, and visualize digital twins and large-scale virtual simulation environments.\nPower photorealistic, physically accurate virtual environments with scalable robotics simulation and synthetic data generation.\nPower digital twins and complex simulation workloads at scale with a purpose-built system.\nDeliver AI safely and securely to support human and machine collaboration.\nNVIDIA Omniverse\u2122 Cloud is a platform-as-a-service providing developers a full-stack cloud environment to design, develop, deploy, and manage industrial digitalization applications.\nResources\nRead our \u201c5 Steps to Get Started with Digital Twins\u201d ebook, explore example use cases, or reach out to an Omniverse specialist.\nSessions from GTC\nUse Case\nFree Trial\nThank you for your interest in NVIDIA Omniverse Enterprise, Omniverse Cloud, and OVX. We would love to help you get started. Fill out the form and an expert will get back to you shortly.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/solutions/quadro-vr/#nav-lvl1-tab4-lvl2-tab3": "As real as it gets.\nExtended reality (XR) is revolutionizing professional workflows with technology that makes it possible to work at scale. Holding virtual models in your hands, walking through entire virtual buildings, rehearsing complex surgical procedures in virtual environments, \u2014 XR is completely changing how people experience the workplace.\nNVIDIA's XR platform \u2014 which includes NVIDIA VR Ready GPUs, groundbreaking XR tools, and development software \u2014 drives the world's greatest VR experiences.\nNVIDIA's VR platform \u2013 which includes NVIDIA Quadro\u2122 VR Ready GPUs, software, and VRWorks\u2122 SDKs \u2013 drives the world's greatest VR experiences.\nNVIDIA CloudXR\u2122, a groundbreaking innovation built on NVIDIA RTX\u2122 technology, delivers VR and AR across 5G and Wi-Fi networks.\nNVIDIA VRWorks\u2122 enables a new level of presence by bringing physically realistic visuals, sound, touch interactions, and simulated environments to virtual reality.\nThe NVIDIA VR Ready program ensures system components \u2013 GPU, CPU, HMD, and drivers \u2013 will provide the best immersive virtual reality experiences.\nNVIDIA Omniverse Create is an app that accelerates advanced scene composition and allows users to interact with their assembled scenes.\nNVIDIA VCR enables developers and users to accurately capture and replay VR sessions for performance testing, scene troubleshooting, and more.\nFrom foveated displays to collaboration platforms for virtual worlds, explore the latest in virtual and augmented reality and how it can be integrated into your workflows.\nFactory 42 combined captivating storytelling with cutting-edge technology to elevate the AR experience and deliver high-fidelity, photorealistic virtual environments over 5G networks using NVIDIA RTX and CloudXR.\nNVIDIA Virtual Reality Capture and Replay (VCR) enables developers and users to accurately capture and replay VR sessions for performance testing, scene troubleshooting, and more. Now available for early access users.\nStreaming XR is changing the model of distributing immersive applications. Learn how servers are built to deliver immersive workloads and take advantage of compute power to combine XR applications with AI and other computing functions.\nExtended reality, or XR, is a collective term that refers to immersive technologies, including virtual reality, augmented reality, and mixed reality. Learn more about what this means for our world today.\nNVIDIA CloudXR users harness the full power and visual richness delivered by NVIDIA\u2019s RTX GPUs while enjoying the freedom and mobility of untethered AR and VR devices.\nVolvo brings new levels of collaboration to design reviews by streaming ESI Group\u2019s IC.IDO using NVIDIA CloudXR.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce-now/#nav-lvl1-tab1-lvl2-tab2": "Your fast pass to 24 hours of GeForce RTX-powered cloud gaming. Experience all premium member benefits, no membership required.\nGeForce NOW connects to digital PC game stores so you can stream the games you already own. Plus, game purchases you make on your personal store accounts will always stay with you.\nGeForce NOW instantly transforms your laptop, desktop, Mac, TV, Android device, iPhone, or iPad into the powerful PC gaming rig you\u2019ve always dreamed of.\nOur premium membership plans offer you fastest access to the highest performance GeForce RTX rigs for a high-resolution, ultra-low latency, and competitive experience.\nSay goodbye to large game downloads, updates, and patches. All GeForce NOW games are always up to date, so you can spend less time waiting and more time gaming.\nStream directly from GeForce RTX GPUs.\nExperience incredibly realistic effects.\nJump straight to the front of the queue.\nPlay for hours without interruption.\nShadows, textures, and effects\u2014all maxed.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce-now/games/#nav-lvl1-tab4-lvl2-tab6": "GeForce NOW connects to digital PC game stores so you can stream the games you already own.\nNew games are added to our library every GFN Thursday\u2014our dedicated day for highlighting the newest games, features, and news*.\nHere's a look at the games joining the GeForce NOW library in January:\nFarlanders (New Release on Steam) Surviving the Abyss (New Release on Steam) Tortuga - A Pirate's Tale (New Release on Epic Games, Jan. 19) Epistory - Typing Chronicles (New Release on Epic Games, Jan. 19) Absolute Drift (Steam) BLACKTAIL (Steam and Epic Games) Dwarf Fortress (Steam) Hello Neighbor 2 (Steam and Epic Games) NEBULOUS: Fleet Command (Steam) Shadow Tactics - Aiko's Choice (Epic Games Store)\n*Some games listed may not appear until later in the week, including new game launches. You must already own or purchase titles to play them on GeForce NOW. Game availability per device may vary.",
    "https://www.nvidia.com/en-us/high-performance-computing/earth-2/demo/": "Please note: Loading the planet may take a minute. Thanks for your patience.\nThe Earth-2 interactive demo can be launched from the latest Google Chrome, Safari, or Microsoft Edge Browsers on Windows, macOS, iOS, Android, or Chrome OS devices. Additional support is coming soon.",
    "https://www.nvidia.com/en-us/data-center/solutions/mlops/#nav-lvl1-tab3": "The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates data science pipelines and streamlines development and deployment of production AI, including generative AI, computer vision, speech AI, and more. With over 100 frameworks, pretrained models, and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI and deliver enterprise-ready MLOps with enterprise-grade security, reliability, including API stability, and support.",
    "https://www.nvidia.com/en-us/geforce/tags/?tag=nvidia-dlss#nav-lvl1-tab3": "NVIDIA Home\nNVIDIA Home\nMenu\nMenu icon\nMenu\nMenu icon\nClose\nClose icon\nClose\nClose icon\nClose\nClose icon\nCaret down icon\nAccordion is closed, click to open.\nCaret down icon\nAccordion is closed, click to open.\nCaret up icon\nAccordion is open, click to close.\nCaret right icon\nClick to expand\nCaret right icon\nClick to expand\nCaret right icon\nClick to expand menu.\nCaret left icon\nClick to collapse menu.\nCaret left icon\nClick to collapse menu.\nCaret left icon\nClick to collapse menu.\nShopping Cart\nClick to see cart items\nSearch icon\nClick to search\nSkip to main content\nArtificial Intelligence Computing Leadership from NVIDIA\nMain Menu\nProducts\nHardware\nSoftware\nGaming and Creating\nGeForce Graphics Cards\nLaptops\nG-SYNC Monitors\nStudio\nSHIELD TV\nRTX AI PCs\nLaptops and Workstations\nLaptops\nNVIDIA RTX in Desktop Workstations\nNVIDIA RTX in Professional Laptops\nNVIDIA RTX-Powered AI Workstations\nCloud and Data Center\nOverview\nGrace CPU\nDGX Platform\nEGX Platform\nIGX Platform\nHGX Platform\nNVIDIA MGX\nNVIDIA OVX\nDRIVE Sim\nNetworking\nOverview\nDPUs and SuperNICs\nEthernet\nInfiniBand\nGPUs\nGeForce\nNVIDIA RTX / Quadro\nData Center\nEmbedded Systems\nJetson\nDRIVE AGX\nClara AGX\nApplication Frameworks\nAI Inference - 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    "https://www.nvidia.com/en-us/self-driving-cars/partners/pony-ai/#nav-lvl1-tab2": "Pony.ai is a leading global autonomous driving technology company that develops intelligent systems for safer, more efficient transportation. Its platform leverages NVIDIA DRIVE Orin\u2122 for low latency, high performance, and high reliability. This software-defined architecture helps Pony.ai achieve scalable deployment across self-driving trucks and robotaxis, and accelerate its future of a robust, mass-production solution for AVs.\nThe need for redundant and diverse sensors and computing systems makes it challenging to design and optimize the processing pipeline. In this post, explore the evolution of Pony.ai\u2019s on-vehicle sensor data processing pipeline.\nLearn about the high-performance, energy-efficient AI compute platform to be integrated into the fleet of Toyota Sienna level 4 autonomous vehicles.\nSee the technological milestones achieved with road testing in China, including Pony.ai\u2019s soft launch of China's first-ever autonomous vehicle robotaxi service.\nExplore the GTC 2022 Session with Ke Li, Software Engineer, Pony.ai and Petr Shepelev, Senior Systems Software Engineer, NVIDIA\nNVIDIA automotive solutions are available to automakers, tier 1 suppliers, startups, and research institutions working on the future of transportation.\nThis form is for automotive inquires only. For other inquiries, please click here.",
    "https://www.nvidia.com/en-us/industries/automotive/#nav-lvl1-tab4-lvl2-tab6": "NVIDIA\u2019s automotive solutions offer the performance and scalability to design, visualize, and simulate the future of driving. Create virtual showrooms and car configurators, develop in-vehicle AI assistants, and validate autonomous driving technology\u2014all with NVIDIA AI, Omniverse\u2122, and accelerated computing platforms.\nCome learn from experts how advances in AI and accelerated computing can profoundly impact your industry\u2014from HPC and manufacturing to healthcare, robotics, and beyond. Join us online March 20-23.\nLearn from automakers who are using GPUs and AI to drive the future, today.\nImage Courtesy of BMW Group\nBMW Group and NVIDIA are working together to transform the automotive manufacturing lifecycle by building AI-enabled, simulated digital twins of the BMW factory.\nMercedes is partnering with NVIDIA to bring its next generation of vehicles into the autonomous era, delivering intelligent cockpits redesigned for an AI driver.\nImage Courtesy of Rimac Rimac Automobili\nTry the Rimac Nevera 3D Configurator on NVIDIA Omniverse Cloud and experience a physically accurate, advanced 3D configurator\u2014built on and streamed from NVIDIA Omniverse Cloud.\nStarting in 2025, all-new Jaguar and Land Rover vehicles will be built on the NVIDIA DRIVE software-defined platform\u2014from the cloud with NVIDIA data center solutions to the car with NVIDIA DRIVE Orin\u2122.\nElectric vehicle pioneer NIO is building next-generation software-defined vehicles with AI technology that spans from the cloud to the car.\nNVIDIA\u2019s AI experts approach problems from many angles to find the most optimal solution. Their know-how enabled us to reduce training time from weeks to days, improving accuracy of our models.\n\u2013 Robert Thiel, Manager, Head of Artificial Intelligence, Continental Automotive\nThe complex scenarios faced by mass-produced cars and the massive amount of data these fleets generate are the cornerstones of NIO\u2019s autonomous driving capabilities. By using NVIDIA high-performance compute solutions, NIO can accelerate the path to autonomous driving.\n\u2013 Bai Yuli, Head of AI, NIO\nOur collaboration with NVIDIA allows us to develop the future of factory logistics today.\n\u2013 J\u00fcrgen Maidl, Senior Vice President of Logistics, The BMW Group\nLeading companies across the transportation industry\u2014 including BYD, GAC, Nuro, Plus, WeRide, and XPENG \u2014choose NVIDIA DRIVE\u2122 Thor to power their next-generation vehicles.\nLearn how Foretellix, CARLA, and other simulation developers are using Omniverse Cloud APIs to deliver sensor simulation for AV training, testing, and validation. Continental and Stellantis are also using these APIs to build digital twins and tools to unify workflows.\nAISpeech, Baidu, Cerence, DeepRoute, SenseAuto, SoundHound, Stack, and Wavye are advancing intelligent AI assistants, driver and passenger monitoring, and more using NVIDIA\u2019s edge-to-cloud technology.\nThe automotive industry is being transformed by AI and software-defined vehicles. Hear from industry leaders share their perspectives on how AI is shaping the future of transportation.\nLeading automakers like Lotus are adopting advanced configurator solutions by key creative partners and developers such as BITONE, Configit, Katana, WPP, and Zerolight.\nFeatured\nLearn more about how BMW Group is adopting NVIDIA Omniverse in the official virtual opening on the automaker's new electric vehicle plant.\nGTC On-Demand\nWebinars\nWaabi CEO and founder Raquel Urtasun joins NVIDIA\u2019s Katie Burke Washabaugh to talk about the role simulation technology plays in developing production-level autonomous vehicles.\nLearn how to integrate your sensor of choice for NVIDIA DRIVE.\nIn this course, you\u2019ll be guided through a working example of a custom plug-in for a sensor using the DriveWorks SDK and implement core elements of the plugin.\nLearn how deep learning works through hands-on exercises in computer vision and natural language processing. You\u2019ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You\u2019ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.\nLearn how to quickly build and deploy production quality conversational AI applications with real-time transcription and natural language processing (NLP) capabilities.\nGet access to free SDKs, training, and technical resources to successfully build applications on all NVIDIA technology platforms by joining our Developer Program.\nAccelerate your startup by joining the NVIDIA Inception Program. It provides over 13,000 cutting-edge startups worldwide with critical go-to-market support, technical expertise, training, and introductions to funding opportunities.\nDevelop and master the skills you need in AI, HPC, and the metaverse through the NVIDIA Deep Learning Institute (DLI). Choose from a catalog of over 80 self-paced courses and instructor-led workshops.\nOur experts can help your business unlock new capabilities and take your success to the next level.",
    "https://www.nvidia.com/en-us/self-driving-cars/software/#nav-lvl1-tab4-lvl2-tab2": "NVIDIA DriveWorks provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plug-ins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework. It\u2019s modular, open, and designed to be compliant with automotive industry software standards.",
    "https://www.nvidia.com/en-us/networking/infiniband-long-haul-systems/#products": "Untold Secrets of the Efficient Data Center\nIn an independent research study, key IT executives identified one key technology that can be used to support cloud-scale data centers models. Read the report to find out what was the number one technology for delivering efficiency in the cloud and the key to top performance in AI and ML environments.",
    "https://www.nvidia.com/en-us/design-visualization/creators/#page-content": "Experience real time virtual creative collaboration with NVIDIA Omniverse. Learn More >\nSupporting hobbyists, aspiring artists, and industry professionals alike, the NVIDIA Studio platform supercharges your creative process with RTX and AI. Our industry-leading RTX GPUs, paired with our exclusive driver technology, enhance your creative apps with a level of performance and ability that's nothing short of inspiring. With NVIDIA Studio accelerating your workflows and ideas, you\u2019re free to realize your most ambitious projects yet.\nModel and render rich virtual worlds with blazing fast performance thanks to the RT cores in NVIDIA RTX\u2122 GPUs, and preview your results faster with AI denoising and DLSS 3.5. Plus, you can connect and accelerate your 3D apps workflows and collaborate in real time with NVIDIA Omniverse\u2122.\nFor NVIDIA RTX Workstation performance, please visit here.\nBlender Cycles Render up to 2.3X faster.\nBLENDER\nShorter wait times are better. Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11. Blender 3.6 measures render time of various scenes using Blender OpenData benchmark with the OptiX render engine.\nAutodesk Arnold With Maya Render up to 5.9X faster.\nAUTODESK ARNOLD\nShorter wait times are better. Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.Maya with Arnold 2023 (7.2.1) renderer performance measures render time of the NVIDIA SOL 3D model.\nShoot, edit, and deliver faster in 4K, 8K, and even 12K, saving you time and effort. Take advantage of specialized RTX tensor cores that deliver cutting-edge AI performance and effects, and harness dedicated encoders and decoders for accelerated video tasks.\nAdobe Premiere ProEdit video up to 34% faster.\nADOBE PREMIERE PRO\nShorter wait times are better. Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.Adobe Premiere Pro 24.1 (Dec 2023) performance measures various GPU-accelerated effects, including Lumetri Color, Gaussian Blur, Sharpen, and others.\nDaVinci Resolve Apply AI effects up to 2.6X faster\nDAVINCI RESOLVE\nShorter wait times are better. Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11. DaVinci Resolve 18.6 performance measures time to apply various AI effects such as Magic Mask, Depth Map, Speed Warp, etc.\nCapturing an image is only the beginning. Easily touch-up your high-res photos with over over 30 GPU-accelerated effects, including AI features to enhance your artwork.\nON1 Resize AIUpRes your photos up to 4.1X faster.\nON1 RESIZE AI\nShorter wait times are better. Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.ON1 Resize AI measures time to apply super resolution effect to a batch of photos.\nADOBE LIGHTROOM\nAdobe Creative Cloud gets lightning fast with NVIDIA Studio technology, letting you craft and enhance your work quicker than ever, with powerful AI tools that run faster on GeForce RTX GPUs.\nAdobe Photoshop Apply AI effects up to 13% faster.\nADOBE PHOTOSHOP\nShorter wait times are better. Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11. Adobe Photoshop performance measures time to complete super resolution feature.\nADOBE ILLUSTRATOR\nADOBE STAGER\nEffortlessly visualize worlds and spaces in stunning reality using RTX GPU-accelerated ray tracing and DLSS in apps like Unreal Engine 5, Chaos V-Ray, and Vantage.\nV-Ray Render up to 6.9X faster.\nV-RAY\nShorter wait times are better.Laptop: Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.V-Ray 5 Benchmark measures render performance on various scenes.\nUNREAL ENGINE\nENSCAPE\nUnlock pro-level quality and performance in your favorite streaming apps with NVIDIA's exclusive GPU encoder, NVENC. And turn any room into a home studio with the NVIDIA Broadcast App.\nOBS StudioUp to 55% more FPS while live streaming.\nOBS STUDIO\nLaptop: Performance testing conducted by NVIDIA in December 2023 RTX 40 Series GPUs and Intel Core i7 12700H, RTX 30 Series GPUs and Intel Core i7 12700H. NVIDIA Driver 546 Windows 11.Games running at 1440p high Settings. OBS 30 capturing gameplay and webcam and encoding at 1080p60 6Mbps.\nSTREAMLABS\nXSPLIT BROADCASTER\nTWITCH STUDIO\nDISCORD\nConnect your favorite apps from Autodesk, Adobe, Epic, and more to NVIDIA Omniverse\u2122 and open a whole new universe of speed and possibility. Whether making animated films, or breathtaking pieces of digital art and design, Omniverse running on Studio laptops is the ultimate way to accelerate your creative workflows.\nUse AI to turn simple brushstrokes into realistic landscape images with the NVIDIA Canvas app. Create backgrounds quickly, or speed up your concept exploration so you can spend more time visualizing ideas. With Canvas\u2019 AI on your project team, the creative possibilities are endless.\nThe NVIDIA Broadcast app transforms your space into a home studio, upgrading webcams, microphones, and speakers into premium devices using the power of AI. Take your live streams, voice chats, and video conference calls to the next level with audio and video effects like noise removal, virtual background, and more.\nBuilt on Omniverse, RTX Remix allows modders to easily capture game assets, automatically enhance materials with powerful AI tools, and quickly create stunning RTX remasters with ray tracing and DLSS.\nBehind every NVIDIA GPU and every creator are NVIDIA Studio Drivers. Together with creative app developers, teams of testers and engineers are continually optimizing the way your NVIDIA hardware works with your favorite creative applications\u2014enhancing features, reducing the repetitive, and speeding up your workflow. Studio Drivers undergo extensive testing to deliver the performance and reliability you need so you can create at the speed of imagination.\nTo download the latest Studio drivers and exclusive creative apps like NVIDIA Omniverse and NVIDIA Broadcast, explore our tools and resources page.\nDownload GeForce Studio Driver\nDownload NVIDIA RTX/Quadro Studio Driver\nAmp up your creative side hustle with NVIDIA Studio and AI.\nNVIDIA\u2019s high-performance GPUs deliver the perfect canvas for creators to explore, create, and share their inspiring visions.\nArmando Ferreira reviews the Dell XPS 17 Studio Edition laptop, highlighting how NVIDIA Studio can help accelerate your video editing workflows.\nQuestions? Check out our FAQs to learn more.\nCreative tutorials, artist showcases, contests, and exclusive offers.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy\nMarch 22, 2022\nAt GTC: NVIDIA RTX Professional Laptop GPUs Debut, New NVIDIA Studio Laptops, a Massive Omniverse Upgrade and NVIDIA Canvas Update\nMarch Studio Driver optimizes NVIDIA Omniverse, Canvas, Blender Cycles and popular creative apps.\nRead More >\nNVIDIA Omniverse Upgrade Delivers Extraordinary Benefits to 3D Content Creators\nExplore new updates to Omniverse Apps, connectors, cloud collaboration, and enter the #MadeInMachinima contest.\nFebruary 1, 2022\nFebruary Studio Driver Adds Support for NVIDIA RTX 3080 Ti and 3070 Ti Studio Laptops\nPerformance Increase to Redshift RT Renderer, Exclusive to RTX GPUs, Elevates 3D Content Creation.\nBenefits\nModel and render large 3D scenes in real-time and create complex animations seamlessly with GPU-accelerated apps like Autodesk 3ds Max, Maya, Maxon Cinema 4D, and Blender.\nWith RTX GPUs, accelerated ray tracing lets you visualize your photorealistic materials as you create them in Autodesk Arnold, Chaos Group V-Ray, OTOY OctaneRender, Redshift by Maxon, and Blender Cycles. Learn more about NVIDIA Studio\nExperience lag-free interaction and massive speed boosts with RTX GPU-accelerated ray tracing, AI-enhanced denoising and frame-boosting DLSS 3. Learn more about NVIDIA Studio\nConnect your 3D apps, collaborate with others, and use AI tools with NVIDIA Omniverse. Learn more about NVIDIA Omniverse\nAccelerated Apps\nAutodesk Arnold\nAutodesk Maya\nAutodesk 3ds Max\nAdobe Stager\nBlender Cycles\nMaxon Cinema 4D\nDaz Studio\nNVIDIA Iray\nKeyshot\nUnity\nUnreal Engine\nOTOY OctaneRender\nRedshift by Maxon\nSketchup\nAdobe Sampler\nAdobe Designer\nAdobe Painter\nChaos Group V-Ray\nOctane Render\nSee All\n- Miki Bencz, Artstation.com\nAutodesk Arnold With Maya\nLaptopRender up to 5.9X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11. Maya with Arnold 2023 (7.2.1) renderer performance measures render time of the NVIDIA SOL 3D model.\nDesktop Render up to 6.4X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. Maya with Arnold 2023 (7.2.1) renderer performance measures render time of the NVIDIA SOL 3D model.\nLaptopRender up to 2.3X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11. Blender 3.6 measures render time of various scenes using Blender OpenData benchmark with the OptiX render engine.\nDesktopRender up to 3.4X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. Blender 3.6 measures render time of various scenes using Blender OpenData benchmark with the OptiX render engine.\nLaptopRender up to 4X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11. Render time of various scenes with OctaneRender with RTX.\nDesktopRender up to 4X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. Render time of various scenes with OctaneRender with RTX.\nDemo Videos\nIntelligently track objects and crop landscape video to social media-friendly aspect ratios fast with GPU-accelerated AI Auto Reframe in Adobe Premiere Pro, and export video up to 5X faster with NVIDIA hardware encoding.\nPlay back and edit ultra-high resolution video smoothly without pre-caching or generating proxies in Adobe Premiere Pro, Blackmagic Resolve, REDCINE-X PRO, and more. Learn more about NVIDIA Studio\nUse Auto color, Shot match, and RTX GPU-accelerated color grading to get to the perfect color in Blackmagic Resolve. Learn more about NVIDIA Studio\nAdobe After Effects\nREDCINE-X PRO\nAdobe Premiere Pro\nVegas Pro\nBlack Magic Design\nBlackmagic Resolve\n- Phil Holland, Director and Cinematographer, phfx.com\nLaptopEdit video up to 34% faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.Adobe Premiere Pro 24.1 (Dec 2023) performance measures various GPU-accelerated effects, including Lumetri Color, Gaussian Blur, Sharpen, and others.\nDesktopEdit video up to 28% faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. Adobe Premiere Pro 24.1 (Dec 2023) performance measures various GPU-accelerated effects, including Lumetri Color, Gaussian Blur, Sharpen, and others.\nDaVinci Resolve\nLaptopApply AI effects up to 2.6X faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.DaVinci Resolve 18.6 performance measures time to apply various AI effects such as Magic Mask, Depth Map, Speed Warp, etc.\nDesktopApply AI effects up to 2.6X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. DaVinci Resolve 18.6 performance measures time to apply various AI effects such as Magic Mask, Depth Map, Speed Warp, etc.\nCapCut\nLaptopExport videos up to 2.6X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.CapCut measures time to export various video file formats at 4K FPS 30, including AV1, HEVC, and H.264.\nDesktopExport videos up to 2.1X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. CapCut measures time to export various video file formats at 4K FPS 30, including AV1, HEVC, and H.264.\nAccelerate Adobe Photoshop Lightroom Classic\u2019s high-resolution image rendering in the library panel and experience near-zero delay in the develop module for image adjustments on 4K and 5K displays.\nRapidly enhance and style your images with 30+ GPU-accelerated features and effects such as Select and Mask, Camera RAW, Blur Gallery, and Smart Sharpen in Adobe Photoshop. Learn more about NVIDIA Studio\nAutomatically give your RAW images crisper detail, better color rendering, and fewer artifacts using the RTX-accelerated AI \u201cEnhance Details\u201d feature in Adobe Photoshop Lightroom Classic. Learn more about NVIDIA Studio\nAdobe Photoshop\nAdobe Photoshop Lightroom\n- Gavin Strange, jam-factory.com\nON1 Resize AI LaptopUpRes your photos up to 4.1X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.ON1 Resize AI measures time to apply super resolution effect to a batch of photos.\nAdobe PhotoshopDesktopON1 Resize AI UpRes your photos up to 5.1X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. ON1 Resize AI measures time to apply super resolution effect to a batch of photos.\nQuickly interact and zoom in and out of complex vector graphics smoothly and effortlessly, thanks to GPU-acceleration in Adobe Illustrator.\nEasily use over 30 GPU-accelerated Adobe Photoshop filters and effects.\nInstantly visualize your 2D art in photorealistic 3D with RTX GPU-accelerated rendering in Adobe Stager. Learn more about NVIDIA Studio\nAdobe Illustrator\nCorelDRAW\nCorel Photo-Paint\n- Joey Camacho, RawandRendered.com\nAdobe PhotoshopLaptopApply AI effects up to 13% faster.\nShorter wait times are better. Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.Adobe Photoshop performance measures time to complete super resolution feature.\nAdobe PhotoshopDesktopApply AI effects up to 18% faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. Adobe Photoshop performance measures time to complete super resolution feature.\nExperience super smooth interactions with your creations using GPU-accelerated viewports in Autodesk Revit, Sketchup, Rhino, and Twinmotion.\nInteract with physically accurate photorealistic walkthroughs smoother than ever with GPU-accelerated renderers using Unreal Engine and Unity.\nDynamically view massive structures and environments in brilliantly rendered virtual reality with RTX GPU-accelerated ray tracing in Enscape. Learn more about NVIDIA Studio\nAutodesk Revit\nEnscape\nTwinmotion\nRhino\nChaos V-Ray\n- Leo Chou, tcimage3d.wixsite.com\nV-Ray LaptopRender up to 6.9X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with laptops equipped with RTX 40 Series GPUs and Intel Core i9 13900HK, and MacBook Pro with M3 Max and M3 Pro. NVIDIA Driver 550.73. Windows 11.V-Ray 5 Benchmark measures render performance on various scenes.\nDesktopRender up to 9X faster.\nShorter wait times are better.Performance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K and 64GB RAM. NVIDIA Driver 550.76, Windows 11. V-Ray 5 Benchmark measures render performance on various scenes.\n\u2018NVENC\u2019 is a dedicated section of your GPU for encoding video, lifting the strain from your CPU. Run your games or show your creativity and deliver a show-stopping broadcast. Learn more\nNVIDIA RTX GPUs offer broadcasters top stream image quality and maximum performance thanks to NVIDIA\u2019s dedicated hardware encoder. Learn more about NVIDIA Studio\nThe NVIDIA Broadcast app upgrades your livestreams, voice chats, and video calls with powerful AI effects like noise removal and virtual background. Learn more\nOBS Studio\nDiscord\nStreamlabs\nXSplit Broadcaster\nTwitch Studio\nBroadcasting\nOBS StudioLaptop Up to 55% more FPS while live streaming.\nPerformance testing conducted by NVIDIA in December 2023 RTX 40 Series GPUs and Intel Core i7 12700H, RTX 30 Series GPUs and Intel Core i7 12700H. NVIDIA Driver 546 Windows 11. Games running at 1440p high Settings. OBS 30 capturing gameplay and webcam and encoding at 1080p60 6Mbps.\nDesktopUp to 50% more FPS while live streaming.\nPerformance testing conducted by NVIDIA in December 2023 with desktops equipped with Intel Core i9-12900K with UHD 770, and 32GB RAM. NVIDIA Driver 521.58, Windows 11. Games running at 4K high settings. OBS 30 capturing gameplay and webcam and encoding at 1080p60 6Mbps.\nAV1 QualityDesktopHigher video quality with GeForce RTX 40 Series.\nPerformance testing conducted by NVIDIA in September 2022 with desktops equipped with Intel Core i9-12900K with UHD 770, and 32GB RAM. NVIDIA Driver 521.58, Windows 11. Encoding quality is measured as BD-SNR using NVENC 7th Gen with H.264, and NVENC 8th Gen with AV1, both using P7 (max quality) preset.",
    "https://www.nvidia.com/en-us/csr/": "We strive to make NVIDIA a place where employees create positive change in the world.\nWe\u2019re honored to be awarded second place in Glassdoor\u2019s 2024 Best Places to Work.\nBy the end of FY25, and annually thereafter, we expect to achieve and maintain 100% renewable electricity for offices and data centers under our operational control.\nNVIDIA Blackwell GPUs are generally 20X more energy efficient than traditional CPUs for certain AI and high-performance computing (HPC) workloads.\nNVIDIA powers the most efficient supercomputer on the November 2023 Green500 list.\nAI represents the most profound technological shift in our era, touching virtually every industry.",
    "https://www.nvidia.com/Download/index.aspx": "\"Standard\" packages are those that do not require the DCH driver components.\n\"DCH\" (Declarative, Componentized, Hardware Support Apps) refers to new packages preinstalled by OEMS implementing the Microsoft Universal Driver paradigm.\nDCH drivers cannot be installed over a standard system, and Standard drivers cannot be installed over a DCH system.\nTo confirm the type of system you have, locate Driver Type under the System Information menu in the NVIDIA Control Panel.\nFor more information, visit What's new in driver development\nNVIDIA Virtual GPU Customers\nBeta, Older drivers and more.\nNeed help?",
    "https://www.nvidia.com/en-us/geforce/support/": "Learn about our previous generations of graphics cards, laptops, and more, including product specs and features.\nFollowing the posting of the final driver from Release 418 in April 2019, GeForce Game Ready Drivers will no longer support NVIDIA 3D Vision. The NVIDIA support team will continue to address critical driver issues for 3D Vision in Release 418 through April, 2020. Those looking to utilize 3D Vision can remain on a Release 418 driver.\nOur software that enables the use of 3D gaming with 3D TVs, 3DTV Play, is now included for free in Release 418. It is no longer available as a standalone download. Our 3D Vision Video Player will continue to be offered as a standalone download, for free, until the end of 2019.",
    "https://www.nvidia.com/en-us/networking/infiniband-switching/#nav-lvl1-tab3": "Complex workloads demand ultra-fast processing of high-resolution simulations, extreme-size datasets, and highly parallelized algorithms. As these computing requirements continue to grow, NVIDIA Quantum InfiniBand\u2014the world\u2019s only fully offloadable, In-Network Computing platform\u2014provides the dramatic leap in performance needed to achieve unmatched data center performance with less cost and complexity.",
    "https://www.nvidia.com/en-us/research/ai-playground/#sub-form": "Try State-of-the-Art Generative AI Models From Your Browser NVIDIA AI Foundation offers an easy-to-use interface to quickly experience generative AI models from your browser without any setup. After you explore the model, you can customize it and take it to production with NVIDIA AI Enterprise. Try AI Foundation Models",
    "https://www.nvidia.com/en-us/geforce/rtx-remix/#nav-lvl1-tab4-lvl2-tab6": "Create stunning RTX remasters of classic games. Built on NVIDIA Omniverse, RTX Remix allows modders to easily capture game assets, automatically enhance materials with generative AI tools, and quickly create stunning RTX remasters with full ray tracing and DLSS 3.5 with Ray Reconstruction.\nThe RTX Remix app is your central UI for creating RTX mods of classic games. Easily import game captures, enhance assets, relight scenes with path-traced lighting, and see updates live in the RTX Remix viewport.\nRTX Remix is built on NVIDIA Omniverse\u2122, a hub to streamline 3D workflows, allowing you to move assets quickly between RTX Remix and popular 3D tools like Blender and Adobe Substance via the industry-standard Universal Scene Description (OpenUSD) framework.\nRTX Remix\u2019s generative AI texture tools analyze low-resolution textures from classic games, generate physically accurate materials\u2014including normal and roughness maps\u2014and upscale the resolution by up to 4X.\nThe RTX Remix runtime dynamically replaces original assets with modded assets at playback while injecting RTX technologies including path tracing, DLSS 3 and Reflex. Quickly tune mods in real time with the in-game overlay and capture assets from the game via the RTX Remix creator app. The RTX Remix runtime is open-sourced on GitHub for the modding community to contribute to.\nDownload and install NVIDIA Omniverse with RTX Remix.\nCreate an Omniverse account and log in.\nLaunch RTX Remix from Omniverse.\nCheck out our documentation\nWatch RTX Remix tutorials\nJoin the RTX Remix Discord\nSee Community Resources on ModDB\nCheck out the FAQ\nSystem Requirements\nPersonal Information\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce/rtx-remix/#page-content": "Create stunning RTX remasters of classic games. Built on NVIDIA Omniverse, RTX Remix allows modders to easily capture game assets, automatically enhance materials with generative AI tools, and quickly create stunning RTX remasters with full ray tracing and DLSS 3.5 with Ray Reconstruction.\nThe RTX Remix app is your central UI for creating RTX mods of classic games. Easily import game captures, enhance assets, relight scenes with path-traced lighting, and see updates live in the RTX Remix viewport.\nRTX Remix is built on NVIDIA Omniverse\u2122, a hub to streamline 3D workflows, allowing you to move assets quickly between RTX Remix and popular 3D tools like Blender and Adobe Substance via the industry-standard Universal Scene Description (OpenUSD) framework.\nRTX Remix\u2019s generative AI texture tools analyze low-resolution textures from classic games, generate physically accurate materials\u2014including normal and roughness maps\u2014and upscale the resolution by up to 4X.\nThe RTX Remix runtime dynamically replaces original assets with modded assets at playback while injecting RTX technologies including path tracing, DLSS 3 and Reflex. Quickly tune mods in real time with the in-game overlay and capture assets from the game via the RTX Remix creator app. The RTX Remix runtime is open-sourced on GitHub for the modding community to contribute to.\nDownload and install NVIDIA Omniverse with RTX Remix.\nCreate an Omniverse account and log in.\nLaunch RTX Remix from Omniverse.\nCheck out our documentation\nWatch RTX Remix tutorials\nJoin the RTX Remix Discord\nSee Community Resources on ModDB\nCheck out the FAQ\nSystem Requirements\nPersonal Information\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/media-and-entertainment/wpp/": "WPP, the world\u2019s largest marketing communications company, and NVIDIA are collaborating to transform creative and advertising services with generative AI and Omniverse.\nSee how NVIDIA and WPP are transforming advertising production and branded 3D experiences by unifying content creation workflows with NVIDIA OmniverseTM and Universal Scene Description (OpenUSD).\nWPP\u2019s generative AI powered content engine supercharges interactive branded content for marketing and online shopping\nOmniverse Cloud will be available as APIs, extending the reach of the world\u2019s leading platform for creating industrial digital twins across the entire ecosystem of software makers.\nWPP is the first to launch automotive marketing services on NVIDIA Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nWPP is building a content engine harnessing NVIDIA AI and Omniverse to enable creative teams to produce high-quality advertising at scale faster and more efficiently, while remaining fully aligned with a client\u2019s brand.\nDENZA, the luxury EV brand joint venture between BYD and Mercedes-Benz, has collaborated with marketing and communications giant WPP and NVIDIA Omniverse Cloud to build and deploy its next generation of car configurator.\nNVIDIA CEO Jensen Huang discussed AI-enhanced creativity in a conversation with Mark Read, CEO of WPP, at the Cannes Lions Festival.",
    "https://www.nvidia.com/en-us/data-center/base-command/": "The operating system of the NVIDIA DGX data center.\nNVIDIA Base CommandTM powers the NVIDIA DGXTM platform, enabling organizations to leverage the best of NVIDIA AI innovation. With it, every organization can tap the full potential of their DGX infrastructure with a proven platform that includes AI workflow management, enterprise-grade cluster management, libraries that accelerate compute, storage, and network infrastructure, and system software optimized for running AI workloads.\nThe same software that supports NVIDIA\u2019s thousands of in-house developers, researchers, and AI practitioners is now available across the NVIDIA DGX platform, featuring best-of-breed developer software, infrastructure management, and accelerated infrastructure libraries.\nBase Command provides Kubernetes, Slurm, and Jupyter Notebook environments for DGX infrastructure, delivering an easy-to-use, enterprise-proven scheduling and orchestration solution based on well-established enterprise standards.\nNVIDIA Base Command Manager provides full-featured cluster management of DGX systems. Whether it\u2019s initial provisioning, operating system and firmware updates, or real-time monitoring, your DGX cluster is covered. For other NVIDIA-accelerated systems, NVIDIA Base Command Manager Essentials is included as part of NVIDIA AI Enterprise.\nThe complete Base Command software stack is optimized for DGX environments that scale from a single node to large-scale clusters and the cloud, ensuring maximum performance and productivity.\nWith Base Command, DGX infrastructure is paired with the software that brings aspirations within reach. Base Command supports an organization\u2019s AI journey, from their first system all the way to a TOP500-class NVIDIA DGX SuperPODTM.\nThe fastest way to get started using the DGX platform is NVIDIA DGX Cloud, a serverless AI-training-as-a-service platform purpose built for enterprises developing generative AI.\nLearn how Base Command simplifies, optimizes, and accelerates NVIDIA DGX infrastructure.\nNVIDIA Enterprise Services provide support, education, and professional services for your DGX infrastructure. With NVIDIA experts available at every step of your AI journey, Enterprise Services can help you get your projects up and running quickly and successfully.\nNVIDIA Base Command is part of the NVIDIA DGX platform.\nNVIDIA Base Command is available with the purchase of NVIDIA DGX systems.\nInterested in a hands-on experience with NVIDIA software solutions? Apply for a free trial on NVIDIA LaunchPad.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/solutions/rendering/#unreal-3": "NVIDIA Omniverse\u2122 is an open platform for virtual collaboration and real-time physically accurate simulation. Creators, designers, and engineers can accelerate their workflows with one-click interoperability between leading software tools in a shared virtual world. Running on NVIDIA RTX\u2122, breathtaking, high-fidelity models can be instantly shared to any device.",
    "https://www.nvidia.com/en-us/geforce-now/#nav-lvl1-tab4": "Your fast pass to 24 hours of GeForce RTX-powered cloud gaming. Experience all premium member benefits, no membership required.\nGeForce NOW connects to digital PC game stores so you can stream the games you already own. Plus, game purchases you make on your personal store accounts will always stay with you.\nGeForce NOW instantly transforms your laptop, desktop, Mac, TV, Android device, iPhone, or iPad into the powerful PC gaming rig you\u2019ve always dreamed of.\nOur premium membership plans offer you fastest access to the highest performance GeForce RTX rigs for a high-resolution, ultra-low latency, and competitive experience.\nSay goodbye to large game downloads, updates, and patches. All GeForce NOW games are always up to date, so you can spend less time waiting and more time gaming.\nStream directly from GeForce RTX GPUs.\nExperience incredibly realistic effects.\nJump straight to the front of the queue.\nPlay for hours without interruption.\nShadows, textures, and effects\u2014all maxed.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/sustainability/": "We strive to make NVIDIA a place where employees create positive change in the world.\nWe\u2019re honored to be awarded second place in Glassdoor\u2019s 2024 Best Places to Work.\nBy the end of FY25, and annually thereafter, we expect to achieve and maintain 100% renewable electricity for offices and data centers under our operational control.\nNVIDIA Blackwell GPUs are generally 20X more energy efficient than traditional CPUs for certain AI and high-performance computing (HPC) workloads.\nNVIDIA powers the most efficient supercomputer on the November 2023 Green500 list.\nAI represents the most profound technological shift in our era, touching virtually every industry.",
    "https://www.nvidia.com/en-us/design-visualization/solutions/cloud-xr/#nav-lvl1-tab1-lvl2-tab1": "Project Aurora simplifies deployment of on-premises XR applications at lab or enterprise scale. Customers are supported by a flexible ecosystem of OEMs, value-added resellers, software integration, and distribution partners to create and deliver custom, certified builds. With the collaboration of NVIDIA Professional Services, the delivery, set up, and start up of these builds is fully managed for the customer.",
    "https://www.nvidia.com/en-us/data-center/tensor-cores/#nav-lvl1-tab1-lvl2-tab2": "Advanced HPC\nHPC is a fundamental pillar of modern science. To unlock next-generation discoveries, scientists use simulations to better understand complex molecules for drug discovery, physics for potential sources of energy, and atmospheric data to better predict and prepare for extreme weather patterns. NVIDIA Tensor Cores offer a full range of precisions, including FP64, to accelerate scientific computing with the highest accuracy needed.\nThe HPC SDK provides the essential compilers, libraries, and tools for developing HPC applications for the NVIDIA platform.",
    "https://www.nvidia.com/en-us/data-center/virtualization/#software": "NVIDIA Virtual Compute Server provides the ability to virtualize GPUs and accelerate compute-intensive server workloads, including AI, Deep Learning, and HPC. With this, automotive manufacturers can use the latest in simulation and compute technologies to create the most fuel efficient and stylish designs and researchers can analyze the function of genes to develop medical treatments more quickly.",
    "https://www.nvidia.com/en-us/design-visualization/resources/rtx-embedded/": "From ultrasound devices to advanced digital displays and robotics, NVIDIA RTX\u2122-powered embedded GPU solutions provide excellent performance and power efficiency while meeting the highest quality and reliability standards. No matter the industry, application, or deployment environment, embedded GPU solutions powered by NVIDIA RTX are designed to deliver graphics, compute, deep learning, and AI capabilities to a wide variety of systems.",
    "https://www.nvidia.com/en-us/industries/media-and-entertainment/wpp/#nav-lvl1-tab1-lvl2-tab2": "WPP, the world\u2019s largest marketing communications company, and NVIDIA are collaborating to transform creative and advertising services with generative AI and Omniverse.\nSee how NVIDIA and WPP are transforming advertising production and branded 3D experiences by unifying content creation workflows with NVIDIA OmniverseTM and Universal Scene Description (OpenUSD).\nWPP\u2019s generative AI powered content engine supercharges interactive branded content for marketing and online shopping\nOmniverse Cloud will be available as APIs, extending the reach of the world\u2019s leading platform for creating industrial digital twins across the entire ecosystem of software makers.\nWPP is the first to launch automotive marketing services on NVIDIA Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nWPP is building a content engine harnessing NVIDIA AI and Omniverse to enable creative teams to produce high-quality advertising at scale faster and more efficiently, while remaining fully aligned with a client\u2019s brand.\nDENZA, the luxury EV brand joint venture between BYD and Mercedes-Benz, has collaborated with marketing and communications giant WPP and NVIDIA Omniverse Cloud to build and deploy its next generation of car configurator.\nNVIDIA CEO Jensen Huang discussed AI-enhanced creativity in a conversation with Mark Read, CEO of WPP, at the Cannes Lions Festival.",
    "https://www.nvidia.com/en-us/studio/professional-workstations/#nav-lvl1-tab3": "Whether it's design, animation, video editing, or VFX \u2013 as an artist you are defined by your creativity and an unapologetic obsession for your craft. NVIDIA Studio desktop and mobile workstations are engineered to let you focus on your ideas, not your system. Packing the ultimate in performance, massive memory, and exclusive professional features, you have everything you need to deliver your finest work yet.\nWhen it comes to mission-critical work, performance is nothing without reliability. NVIDIA RTX workstations excel in both areas thanks to their meticulous design and innovation at every level. Expect supercharged performance from pro-grade graphics cards, CPUs, and ECC RAM while software application certifications, system optimizers, and enterprise-grade support provide you the confidence to work unhindered.\nNVIDIA Studio workstations feature NVIDIA RTX GPUs for professional graphics and compute performance. Thanks to up to 16GB of ECC memory in mobile systems and up to 48GB of ECC memory in a desktop, even the most complex projects are handled with ease. Plus, with NVIDIA RT Cores and Tensor Cores for real-time ray tracing and AI-acceleration, you can render photorealistic images, edit 8K video, color grade, or produce your next live broadcast spectacularly fast.\nWorking across multiple design apps simultaneously is an essential part of many creative workflows, which is why massive memory capacity matters. NVIDIA RTX delivers enough ultra-fast graphics memory and power letting you load huge project files, run all your creative apps at the same time, and still enjoy a smooth interactive design experience. No more worrying about performance and system stability, even the largest projects and the tightest deadlines are delivered effortlessly and stress-free.\nRender large scene files with ease in the application viewport with RTX-accelerated rendering and AI-denoising. Enhance performance and image quality with DLSS in select applications.\nBuild entire worlds in 3D with high-resolution textures and geometry with massive graphics memory capacities. Deliver complex renders free of errors with ECC memory and large GPU framebuffers\u2014up to 48GB from a desktop or server or up to 16GB from a laptop.\nCapture imaginations with large scale visualizations. Create a single, unified projected image with up to 32 high-resolution video panels using NVIDIA Mosaic multi-display technology with bezel correction. Overlap, blend, and adjust an image across up to 16 curved displays or surfaces for a pixel-perfect result with NVIDIA\u2019s Warp and Blend SDK.\nFor when you need to go big, NVIDIA Quadro Sync lets you synchronize multiple Quadro or NVIDIA RTX desktop GPUs with displays or projects to create large-scale visualizations.\nGPUDirect for Video accelerates your workflow by avoiding unnecessary system memory copies and CPU overhead. Your data goes straight to graphics card memory with GPUDirect for Video.\nCreate a personal render farm with a high-density multi-GPU workstation. NVIDIA RTX GPUs feature a unique blower design that gives you maximum flexibility for the entire system design. and are datacenter-tested and certified, giving you the reassurance and reliability for rack-mounted workstation and server solutions.\nArnold Standalone render done in time of scene, time (seconds).\nV-Ray 5.0 Benchmark \u2013 CUDA \u2013 Vpaths Score.\nBlender Cycles Open Data CLI OPTIX Geomean (Score \u2013 Samples/Minute).\nPerformance may vary by system, application workflow, or scene. Tests run on 13th Gen Intel(R) Core(TM) i7-13700H. 64GB system memory, NVIDIA Driver 528.07 MSHybrid. Apple MacBook Pro 16\" M2 Max SoC (12-Core CPU 3.5GHz, 38-Core GPU). GPU TGP: RTX 5000: (150W), RTX 4000: (115W), RTX 3500, RTX 3000: (80W), RTX 2000: (35W).\nNever run out of graphics memory again. With up to 48GB of memory from the desktop, or 16GB from a laptop, edit and grade up to 8K high-resolution video in real-time with more layers, transitions, and effects.\nDo more with video using AI or Machine Learning like AI up-res, auto-color matching, auto-reframing, Z-depth map extraction from faces, and much more.\nManage and customize your workspace for specific tasks like video editing and color grading with nView Desktop Management Software.\nAccelerate your workflow by avoiding unnecessary system memory copies and CPU overhead. Copy data straight to graphics card memory with GPUDirect for Video.\nDaVinci Resolve dual encoder test H265 - 8K time (s).\nRedCine-X Pro Geomean (FPS).\nAdobe Premiere Pro total encode time (2 tests) Total Time (Seconds).\nCreate compelling photorealistic renderings faster with lifelike reflections, shadows, and lighting with ray-tracing acceleration.\nHarness the power of artificial intelligence with features like DLSS and AI-accelerated denoising to remain in the creative flow while quickly exploring different design options.\nWalk through large 3D models at lifelike scale in virtual reality to view designs from all angles and viewpoints.\nHitting memory limits has become a thing of the past with up to 48GB of GPU memory in desktop workstations, or up to 16GB of GPU memory from a laptop.\nHave the creative freedom to use multiple applications simultaneously, with large GPU memory that enables simultaneous usage between graphic design, photography and 3D applications like Adobe Photoshop, Substance Painter, Lightroom and Dimension.\nUse the power of AI to enhance image quality, add effects, edit faster, and even create 3D assets from 2D images.\nCreate realistic, ray-traced 3D assets from high-quality photos, bringing real-world materials and objects into the virtual world.\nAdobe Photoshop - Super Resolution \u2013 BatchTimeSave Total Time (Seconds).\nThe future of advertising is becoming more immersive than ever. Create hyper-realistic virtual and augmented realities using high-performance professional graphics cards in both desktop and mobile workstations.\nFrom digital signage to massive video walls and immersive domes capture imaginations with the largest, most engaging experiences. Leverage features like Mosaic multi-display, warp and blend, and Quadro Sync.\nIn the broadcast game, time is money. NVIDIA RTX graphics cards bring you the best in AI, on-air graphics, virtual sets and video editing, plus unrestricted video encoding sessions to ensure smooth operation when it matters most.\nFind the Perfect Professional RTX Studio Product for You\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/energy/oil-gas-operations/#nav-lvl1-tab4-lvl2-tab3": "Accelerate subsurface workloads with AI, high-performance computing (HPC) and visualization.\nOil and gas enterprises are becoming integrated energy companies, using improved processes to better explore, produce, transport, and distribute fuels to consumers around the world. Global initiatives for decarbonization are accelerating the transition from fossil fuels to alternative fuels with a smaller carbon footprint and scaling renewable energy, such as wind, solar, nuclear, hydroelectric, green hydrogen and geothermal.\nLearn how ExxonMobil, Shell, SLB, and Petrobras are using AI and HPC to enhance energy exploration and production, reduce operational emissions, and accelerate carbon capture, utilization, and storage (CCUS) development.\nSee how Stone Ridge Technology accelerated simulations of multi-million-cell deep-water reservoirs, offshore oil fields, and deep-water gas fields with ECHELON 2.0 running on Eni's HPC5 cluster.\nLearn from energy companies using AI to improve energy production and reduce operating costs.\nLearn how Saudi Aramco built an AI assistant to enhance seismic data processing\u2014compiled with NVIDIA\u00ae TensorRT\u2122-LLM, deployed using NVIDIA Triton\u2122 Inference Server, and fine-tuned with NVIDIA NeMo\u2122 Guardrails.\nSaudi Aramco\nLearn how Petrobras built SolverBR\u2014a specialized linear solver powered by the Arm\u00ae-based NVIDIA Grace\u2122 CPU\u2014and achieved up to a 60 percent speedup in reservoir simulations.\nLearn how Shell used NVIDIA DGX systems to determine salt boundaries in reservoir modeling, enable 4K iterative image reconstruction, test new designs for industrial plants, and drive advancements in sustainable new materials.\nShell\nAs the world moves toward a more sustainable future, global leaders in energy are accelerating their key HPC and AI workloads with NVIDIA\u2019s full-stack platform. The result? Some of the most powerful, efficient supercomputers in the industry\u2014including those from Eni, ExxonMobil, Petrobras, Saudi Aramco, Total, and the U.S. Department of Energy\u2014are built on NVIDIA technology and continually rank near the top of the TOP500 and Green500 lists.\nOur collaboration with NVIDIA provides great value because NVIDIA brings expertise in AI and a powerful HPC platform to conduct these studies. Conversely, Shell injects realism and provides the energy experience that provides great value to NVIDIA.\n\u2013 Detlef Hohl, Chief Scientist of Computation and Data Science, Shell\nShell has ongoing work with NVIDIA: more realistic 3D reservoir models (e.g., dipping reservoir) for CO2 storage, layered geology with horizontal and vertical heterogeneity, computationally efficient FNO-based networks dealing larger input datasets and providing acceptable predictions over longer time windows (hundreds of years), and next-generation digital twin models of deep earth for carbon capture and storage (CCS) applications in real time with uncertainty assessment.\n\u2013 Pandu Devarakota, Principal Science Expert, Shell\nIn 2022, over 70 percent of computing resources at BP\u2019s Center for High-Performance Computing were used by reverse time migration (RTM)-related applications. In RTM benchmarking and validation tests, we found that one NVIDIA HGX A100 with no compression achieved up to a 35X peak shot runtime speedup compared to our in-house CLXAP cluster.\n\u2013 Muhong Zhou, Senior HPC Software Developer, BP\nWe can examine the contribution of AI to the energy sector from three dimensions: energy forecasting, carbon capture, and predictive maintenance... AI algorithms are being used for energy forecasting, to predict energy demand, and to optimize economic value... AI can be used to reduce carbon emissions by analyzing data from multiple sources regarding weather, soil, and crop yield... to optimize our supply chain logistics and reduce our carbon footprint... AI can also help energy companies monitor the performance of their assets and equipment.\n\u2013 Nayef Otaibi, Vice President and Chief Digital Officer, Saudi Aramco\nThe exploration and production (E&P) industry generates a vast amount of data, including well logs, seismic data, production data, drilling data, and other sources. Natural language processing (NLP) and large language models (LLMs) have provided the ability to integrate sources with descriptive, diagnostic, prescriptive, and predictive insights that enhance return on investment. In reservoir modeling, NLP and LLMs improve integrating sources from well logs, seismic data, and production data\u2014bringing critical understanding to the subsurface that\u2019s significant to our operations.\n\u2013 Saud Zakwani, Head of Data Science, Petroleum Development Oman\nAI can help in site selection and allocation by studying the physics, geology, and metrology of different locations to optimize solar plants or wind farms and make them more cost-effective and productive. Once facilities are deployed, we can look at AI to balance the grid and identify production capacity predicted from renewable energy. AI can help optimize a large installation of batteries, such as charging and discharging or maintenance issues.\n\u2013 Yehia Khoja, Ministry of Energy, Head of AI and Business Development, Kingdom of Saudi Arabia\nSystems powered by NVIDIA A100 80GB Tensor Core GPUs demonstrate superb performance uplifts compared to CPU performance running SLB\u2019s INTERSECT high-resolution reservoir simulator.\nShearwater GeoServices is optimizing their Reveal seismic processing software for NVIDIA GPUs to help energy companies enhance seismic data and efficiently run compute-intensive imaging algorithms.\nImage courtesy of AWS and MATLAB.\nUnderstand how geoscientists can use shallow deep learning-based algorithms with MATLAB on AWS and AI models to automatically recognize distinct geologic features in seismic images.\nLearn how to develop and deploy AI-based seismic facies classification by leveraging cloud-based HPC resources for faster prototyping and development with large 3D seismic datasets.\nLearn about the AI and HPC hardware and software for oil and gas.\nNVIDIA DGX H100 expands the frontiers of business innovation and optimization. The latest iteration of NVIDIA\u2019s legendary DGX systems and the foundation of NVIDIA DGX SuperPOD\u2122, DGX H100 is the AI powerhouse that\u2019s accelerated by the groundbreaking performance of the NVIDIA H100 Tensor Core GPU.\nNVIDIA DGX SuperPOD is an AI data center infrastructure platform that enables IT to deliver performance without compromise for every user and workload. DGX SuperPOD offers leadership-class accelerated infrastructure and agile, scalable performance for the most challenging AI and HPC workloads, with industry-proven results.\nNVIDIA DGX Cloud is a multi-node AI-training-as-a-service solution optimized for the unique demands of enterprise AI. Access NVIDIA DGX Cloud to experience a combined software and infrastructure solution for AI training that includes a full-stack AI developer suite, leadership-class infrastructure, and concierge support.\nThe NVIDIA Grace\u2122 Hopper\u2122 Superchip is a breakthrough accelerated CPU designed from the ground up for giant-scale AI and HPC applications. The superchip delivers up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world\u2019s most complex problems.\nThe NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries, and software tools essential to maximizing developer productivity and the performance and portability of HPC modeling and simulation applications.\nWith NVIDIA AI Enterprise, energy companies can speed up development of use case applications, such as reservoir simulation, seismic processing, and predictive maintenance. Learn how to get access to NVIDIA AI Enterprise with free curated labs to start testing.\nNVIDIA vGPU software enables powerful GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization, as well as the performance of NVIDIA GPUs required for modern workloads.\nNVIDIA NeMo\u2122, part of the NVIDIA AI platform, is an end-to-end, cloud-native enterprise framework for building, customizing, and deploying generative AI models with billions of parameters. Energy companies are exploring large language models in sentiment analysis for oil price prediction, as well as integrating sources from well logs, seismic data, and production data to generate real-time insights.\nNVIDIA Metropolis features GPU-accelerated SDKs and developer tools that help developers optimally build, deploy, and scale AI-enabled video analytics and IoT applications\u2014from the edge to the cloud.\nUse NVIDIA RAPIDS\u2122 to apply a wide variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH\u2019s single-source shortest path, cuML\u2019s k-nearest neighbor (KNN), DBSCAN, and logistic regression, for data analysis at scale.\nGain an understanding of the various building blocks of NVIDIA Modulus, the basics of physics-informed deep learning, and how the framework integrates with the overall NVIDIA Omniverse\u2122 platform.\nLearn how to reduce complexity and improve portability and efficiency of your code by using a containerized environment for HPC application development.\nLearn how to use NVIDIA Base Command\u2122 Platform to accelerate containerized AI training workloads, identify the tools necessary to build an AI center of excellence, and get the basics of working with, modifying, and running Docker containers from NVIDIA NGC\u2122.\nTransform your AI workloads with the NVIDIA H100 Tensor Core GPU, featuring Multi-Instance GPU (MIG), the Transformer Engine, and NVIDIA AI Enterprise.\nExplore NVIDIA Inception, the free program designed to help startups evolve faster through access to cutting-edge technology and NVIDIA experts, connections with venture capitalists, and co-marketing support to raise visibility.\nConnect with millions of like-minded developers in the NVIDIA Developer Program to do your life\u2019s work, and gain access to free containers, pretrained models, SDKs, technical documentation, and peer and domain expert help.\nExpand and support your portfolio with NVIDIA\u2019s Venture Capital (VC) Alliance, an initiative between NVIDIA and investors around the world who are focused on startups building cutting-edge technology with AI, data science, and HPC.\nNVIDIA solutions for the energy industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.\nChat with NVIDIA energy experts to help solve your business challenges.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/networking/ethernet/connectx-4-lx/#key-features": "ConnectX-4 Lx adapter cards enable data centers to leverage leading interconnect adapters to increase their operational efficiency to improve server utilization and maximize application productivity, while reducing total cost of ownership (TCO).\nConnectX-4 Lx provides support for 1, 10, 25, 40, and 50GbE bandwidth, sub-microsecond latency and a 70 million packets per second message rate. It includes native hardware support for RDMA over converged Ethernet, Ethernet stateless offload engines, overlay networks, and NVIDIA GPUDirect\u00ae Technology.",
    "https://www.nvidia.com/en-us/edge-computing/products/igx/#specifications": "Enterprise-Class Software for Mission-Critical AI\nNVIDIA AI Enterprise IGX is an enterprise-grade software solution for edge AI, purpose-built for mission-critical applications that run on the NVIDIA IGX Orin platform. It provides unmatched performance, security, stability, and long-term enterprise support for the entire software stack that consists of AI frameworks, SDKs, libraries, and IGX OS, assuring best-in-class security, safety, and support.\nA board management controller (BMC) included with IGX is integrated into the software stack for remote system management and software updates, a secure boot controller provides external root of trust, and a dedicated safety monitor supports a real-time operating system (RTOS) and built-in safety-monitoring software.",
    "https://www.nvidia.com/en-us/edge-computing/products/igx/#nav-lvl1-tab2": "Enterprise-Class Software for Mission-Critical AI\nNVIDIA AI Enterprise IGX is an enterprise-grade software solution for edge AI, purpose-built for mission-critical applications that run on the NVIDIA IGX Orin platform. It provides unmatched performance, security, stability, and long-term enterprise support for the entire software stack that consists of AI frameworks, SDKs, libraries, and IGX OS, assuring best-in-class security, safety, and support.\nA board management controller (BMC) included with IGX is integrated into the software stack for remote system management and software updates, a secure boot controller provides external root of trust, and a dedicated safety monitor supports a real-time operating system (RTOS) and built-in safety-monitoring software.",
    "https://www.nvidia.com/en-us/industries/media-and-entertainment/wpp/#nav-lvl1-tab4-lvl2-tab3": "WPP, the world\u2019s largest marketing communications company, and NVIDIA are collaborating to transform creative and advertising services with generative AI and Omniverse.\nSee how NVIDIA and WPP are transforming advertising production and branded 3D experiences by unifying content creation workflows with NVIDIA OmniverseTM and Universal Scene Description (OpenUSD).\nWPP\u2019s generative AI powered content engine supercharges interactive branded content for marketing and online shopping\nOmniverse Cloud will be available as APIs, extending the reach of the world\u2019s leading platform for creating industrial digital twins across the entire ecosystem of software makers.\nWPP is the first to launch automotive marketing services on NVIDIA Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nWPP is building a content engine harnessing NVIDIA AI and Omniverse to enable creative teams to produce high-quality advertising at scale faster and more efficiently, while remaining fully aligned with a client\u2019s brand.\nDENZA, the luxury EV brand joint venture between BYD and Mercedes-Benz, has collaborated with marketing and communications giant WPP and NVIDIA Omniverse Cloud to build and deploy its next generation of car configurator.\nNVIDIA CEO Jensen Huang discussed AI-enhanced creativity in a conversation with Mark Read, CEO of WPP, at the Cannes Lions Festival.",
    "https://www.nvidia.com/en-us/networking/multi-host/#page-content": "Eliminate Performance Bottlenecks\nNVIDIA\u00ae Mellanox\u00ae Multi-Host technology enables next generation Cloud, Web 2.0 and high-performance data centers to design and build new scale-out heterogeneous compute and storage racks with direct connectivity between multiple hosts and the centralized network controller. This enables direct data access with the lowest latency to significantly improve densities and maximizes data transfer rates.\nNVIDIA\u2019s Multi-Host technology provides the ability to allow multiple compute or storage hosts to connect into a single interconnect adapter, by separating the adapter PCIe bus into several independent interfaces. Each interface connects to a separate host CPU\u2014with no performance degradation and improves operational agility and efficiency.\nImage courtesy of Facebook: Yosemite V3 multi-host server\nThe ConnectX-6 Dx SmartNIC adds significant improvements to NVIDIA Multi-Host applications by offering advanced QoS features that ensure complete isolation among the multiple hosts connected to the NIC, and by achieving superior fairness among the hosts. ConnectX-6 Dx is equipped with a large shared ingress buffer designed to hold bursty traffic when the incoming traffic rate exceeds the rate of traffic that can be absorbed by the host. The shared buffer configuration allows a single flow to consume the entire buffer space when no competition for buffer usage exists. When multiple flows consume the shared ingress buffer, the buffer is allocated in a manner that ensures that each host and each priority within the hosts are served in a fair manner.\nMulti-Host enables direct connectivity from multiple hosts to a single network controller. Allowing flexible and heterogeneous data center design with direct access to data while reducing capital and operating expenses.\nMulti-Host technology allows for different CPU architectures (x86, Power, ARM, etc.) and each host to be kept completely independent from the others. Hosts sharing the same network interface save on switch ports, cables, real estate and power.\nMulti-Host technology allows direct connectivity from multiple hosts to the network, enabling direct data access which lowers latency and overcomes performance bottlenecks to maximize data processing and transfer rates.\nConnectX Ethernet Adapter Card Brochure for OCP\nMulti-Host Evaluation Kit\nMulti-Host Evaluation Kit User Manual\nExternally Connected Multi-Host Solution\nConnectX-6 Dx Product Brief\nConnectX-6 VPI IC Product Brief\nConnectX-5 VPI Socket Direct Product Brief\nConnectX-5 VPI IC Product Brief\nConnectX-4 Lx for OCP Product Brief\nMaximizing Server Performance with NVIDIA Socket Direct Adapters\nDUG's Massive Cloud Service\nWe're here to help you build the most efficient, high performance network.",
    "https://www.nvidia.com/en-us/networking/quantum2/": "NVIDIA Quantum-2, the seventh generation of the NVIDIA InfiniBand architecture, gives AI developers and scientific researchers the fastest networking performance and feature-sets available to take on the world\u2019s most challenging problems. NVIDIA Quantum-2 empowers the world\u2019s leading supercomputing data centers with software-defined networking, In-Network Computing, performance isolation, advanced acceleration engines, remote direct-memory access (RDMA), and the fastest speeds and feeds up to 400Gb/s.",
    "https://www.nvidia.com/en-us/networking/infiniband-long-haul-systems/#nav-lvl1-tab1-lvl2-tab1": "Untold Secrets of the Efficient Data Center\nIn an independent research study, key IT executives identified one key technology that can be used to support cloud-scale data centers models. Read the report to find out what was the number one technology for delivering efficiency in the cloud and the key to top performance in AI and ML environments.",
    "https://www.nvidia.com/en-us/design-visualization/solutions/rendering/#modo-2": "NVIDIA Omniverse\u2122 is an open platform for virtual collaboration and real-time physically accurate simulation. Creators, designers, and engineers can accelerate their workflows with one-click interoperability between leading software tools in a shared virtual world. Running on NVIDIA RTX\u2122, breathtaking, high-fidelity models can be instantly shared to any device.",
    "https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-analytics/#nav-lvl1-tab4-lvl2-tab3": "Businesses utilize analytics to understand their data and drive business decisions. While data analytics has unlocked vast potential, traditional CPU-based data processing and analysis have increased overhead and added complexity to business operations, decreasing the return on investment. Accelerated data science ushers in a new era of data analytics, allowing for organizations and practitioners to get the most out of their data and their infrastructure.\nAccelerated data science delivers improvements across the end-to-end data analytics workflow, whether you\u2019re transforming data for enterprise consumption or visualizing terabyte-scale data to understand a particular problem domain. Data practitioners can leverage NVIDIA GPUs with ease using their preferred toolset, bringing the power of high-performance computing to your organization with a minimal learning curve.\nBy harnessing the power of high-performance data analytics, businesses can better serve their customers, develop products faster, and enable innovations across their enterprise.",
    "https://www.nvidia.com/en-us/industries/finance/#introduction": "Accelerate financial services with AI.\nMassive datasets. Perpetual market fluctuations. Customer inquiries. Intelligent technology can address critical challenges within the modern financial services industry. With NVIDIA\u2019s AI solutions\u2014for generative AI, large language models (LLMs), data analytics, and more\u2014institutions can optimize trading, detect transaction fraud, and enhance customer experiences.\nDive into the data compiled from a survey of over 400 financial services professionals from around the world. Discover the trends, challenges, and opportunities that will define the state of AI in financial services in 2024.\nImprove your team\u2019s fraud detection and risk assessment workloads with NVIDIA RAPIDS\u2122 Accelerated Apache Spark.\nHarness accelerated computing for trading.\nFaster processing results in smarter trading strategies, more successful trade execution, and increased revenue so firms can remain competitive.\nIntelligent document processing with generative AI lets financial institutions gather insights from unstructured data, enabling faster decision-making and reducing the risk of financial losses.\nWith the NVIDIA AI platform, firms can learn from vast amounts of data and respond quickly to market fluctuations.\nEnhance customer service with generative AI.\nAs the global service economy grows, banks are relying increasingly on contact centers to drive better customer experiences and operational efficiency.\nBanks can enhance customer interactions with generative AI-powered chatbots. Using retrieval-augmented generation (RAG), these chatbots can deliver more accurate, personalized, and sophisticated responses than traditional chatbot solutions.\nPrevent fraud with end-to-end data science.\nFinancial institutions need to detect and prevent fraudulent activities, including identity theft, account takeover, and money laundering. AI-enabled applications can reduce false positives in transaction fraud detection, enhance identity verification accuracy for know-your-customer (KYC) requirements, and boost the effectiveness of anti-money laundering (AML) efforts.\nThe NVIDIA RAPIDS Accelerator for Apache Spark accelerates processing time up to 5X or more and allows the same work to be completed with 4X less infrastructure cost.\nFeatured\nExplore how financial institutions can boost risk management, improve security, reduce fraud, and enhance customer experiences with AI.\nWebinars\nLearn how to build and execute end-to-end GPU-accelerated data science workflows that lets you quickly explore, iterate, and get your work into production in this self-paced lab. Using the RAPIDS accelerated data science libraries, you'll learn how to apply a wide variety of GPU-accelerated machine learning algorithms to perform data analysis at scale.\nIn this free, self-paced course, get hands-on experience developing and deploying the NVIDIA Morpheus digital fingerprinting AI workflow, which enables 100 percent data visibility and drastically reduces the time to detect threats.\nIn this instructor-led, hands-on workshop, learn how to quickly build and deploy production-quality conversational AI applications with real-time transcription and natural language processing capabilities using NVIDIA Riva framework.\nJoin the free NVIDIA Developer Program to take a complimentary self-paced course.\nHear how modern machine learning techniques have become a key tool for financial and credit analysis at Capital One.\nLearn how top players in the banking world are using AI, how their efforts have been impacted by the pandemic, and who should be doing what to further the use of this technology.\nHear about all things fintech, the importance of data scientists in communication, and where to draw the line between AI and humans.\nExplore the latest trends for leveraging intelligent technology and explainable AI in fintech and the NVIDIA products and services supporting the industry.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nLearn how financial institutions and firms are using AI to optimize processes, reduce risk, and trim costs.\nWealthsimple\nWealthsimple turned to NVIDIA\u2019s AI inference platform to accelerate time to market for their machine learning models\u2014used to deliver white-glove experiences to wealth management clients.\nAmerican Express is implementing a real-time fraud detection system with NVIDIA technology that operates within a two-millisecond latency requirement and delivers:\nDrivers can get auto repair estimates in seconds instead of days with AI-driven insurance applications from CCC Intelligent Solutions with an assist from NVIDIA DGX\u2122 Cloud and Base Command\u2122 Platform.\nTalkmap is a revolutionary conversational intelligence and automation platform that a world-leading fintech company used to automate their large data science team\u2019s two-year effort, delivering:\nAI, ML, and data will be a game changer in banking, and our partnership with NVIDIA is further evidence that we are committed to redefining what is possible for our clients.\n\u2014 Christian Sewing, CEO, Deutsche Bank\nFor our production environment, speed is extremely important with decisions made in a matter of milliseconds, so the best solution to use are NVIDIA GPUs.\n\u2014 Dmitriy Efimov, Vice President of Machine Learning, American Express\nUsing NVIDIA GPU-powered image analysis and AI, we can identify damages, automate claims handling for simple and clean cases, estimate costs and identify fraudulent claims.\n\u2014 Ping An (China\u2019s Largest P&C Insurer)\nAs more companies adopt conversational AI, empathy plays a larger role in the customer experience \u2013 and, ultimately, growth factors like profitability, customer retention and brand equity.\n\u2014 Helen Yu, Global Influencer and Podcast Host\nNVIDIA GPU-accelerated computing makes it possible to use AI processing to accelerate payments, invoicing, and trade collaboration between businesses and offer a seamless user experience that\u2019s at the same time secure.\n\u2014 Efi Pylarinou, Global Fintech Influencer\nFactories for complex data processing, AI, simulation, and visualization help the industry build resilient, sustainable, and profitable investment products/services in a customized, transparent, and explainable way.\n\u2014 CFA Institute, Handbook of Artificial Intelligence and Big Data Applications in Investments\nEven though the banking industry in general has been trying to get to the cloud, we see a great need in being able to do experiments on premises, and for that, we have a few DGX servers and they\u2019ve been a great help in this journey toward a center of excellence.\n\u2014 Soumitri Kolavennu, SVP and Head of AI Research, U.S. Bank\nBNY Mellon has announced that they\u2019re the first major bank to deploy an NVIDIA DGX SuperPOD\u2122 with DGX H100 systems.\nJoin us at Money20/20 Europe, June 4\u20136. Hear from leaders in banking and payments as we host sessions, fireside chats, demos, and networking events with our partners.\nExplore NVIDIA's cutting-edge AI accelerated computing platform. Revolutionize customer experiences with NVIDIA NIM microservices, which enable efficient, scalable AI deployment for solutions in financial services.\nNVIDIA RAPIDS can accelerate data science pipelines up to 4X faster at less cost with no code change. Financial institutions can reduce false positives in transaction fraud detection and enhance identity verification for anti-money laundering, improving both the customer experience and the institution\u2019s financial health with NVIDIA\u2019s AI platform.\nThe NVIDIA HPC SDK allows for improved accuracy of risk assessments, accelerated time to market, and increased revenue. Faster processing results in smarter trading strategies and more successful trade execution.\nNVIDIA NIM, part of NVIDIA AI Enterprise, accelerates the deployment of generative AI, allowing organizations to train LLMs and seamlessly run AI inference at scale.\nWith NVIDIA\u2019s AI platform, financial institutions can harness the power of generative AI and HPC to learn from vast amounts of data and respond quickly to market fluctuations.\nAI-led applications are critical to the modernization and success of customer service chatbots for call center environments, offering an opportunity to improve customer satisfaction and reduce costs. Financial institutions can build and deploy generative AI models with NVIDIA NeMo\u2122 and develop custom speech applications with NVIDIA\u00ae Riva to communicate with customers effectively.\nOur solutions for the Financial Services industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products and services.\nOur experts can help your business unlock potential and unleash innovation.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/studio/professional-workstations/#nav-lvl1-tab1": "Whether it's design, animation, video editing, or VFX \u2013 as an artist you are defined by your creativity and an unapologetic obsession for your craft. NVIDIA Studio desktop and mobile workstations are engineered to let you focus on your ideas, not your system. Packing the ultimate in performance, massive memory, and exclusive professional features, you have everything you need to deliver your finest work yet.\nWhen it comes to mission-critical work, performance is nothing without reliability. NVIDIA RTX workstations excel in both areas thanks to their meticulous design and innovation at every level. Expect supercharged performance from pro-grade graphics cards, CPUs, and ECC RAM while software application certifications, system optimizers, and enterprise-grade support provide you the confidence to work unhindered.\nNVIDIA Studio workstations feature NVIDIA RTX GPUs for professional graphics and compute performance. Thanks to up to 16GB of ECC memory in mobile systems and up to 48GB of ECC memory in a desktop, even the most complex projects are handled with ease. Plus, with NVIDIA RT Cores and Tensor Cores for real-time ray tracing and AI-acceleration, you can render photorealistic images, edit 8K video, color grade, or produce your next live broadcast spectacularly fast.\nWorking across multiple design apps simultaneously is an essential part of many creative workflows, which is why massive memory capacity matters. NVIDIA RTX delivers enough ultra-fast graphics memory and power letting you load huge project files, run all your creative apps at the same time, and still enjoy a smooth interactive design experience. No more worrying about performance and system stability, even the largest projects and the tightest deadlines are delivered effortlessly and stress-free.\nRender large scene files with ease in the application viewport with RTX-accelerated rendering and AI-denoising. Enhance performance and image quality with DLSS in select applications.\nBuild entire worlds in 3D with high-resolution textures and geometry with massive graphics memory capacities. Deliver complex renders free of errors with ECC memory and large GPU framebuffers\u2014up to 48GB from a desktop or server or up to 16GB from a laptop.\nCapture imaginations with large scale visualizations. Create a single, unified projected image with up to 32 high-resolution video panels using NVIDIA Mosaic multi-display technology with bezel correction. Overlap, blend, and adjust an image across up to 16 curved displays or surfaces for a pixel-perfect result with NVIDIA\u2019s Warp and Blend SDK.\nFor when you need to go big, NVIDIA Quadro Sync lets you synchronize multiple Quadro or NVIDIA RTX desktop GPUs with displays or projects to create large-scale visualizations.\nGPUDirect for Video accelerates your workflow by avoiding unnecessary system memory copies and CPU overhead. Your data goes straight to graphics card memory with GPUDirect for Video.\nCreate a personal render farm with a high-density multi-GPU workstation. NVIDIA RTX GPUs feature a unique blower design that gives you maximum flexibility for the entire system design. and are datacenter-tested and certified, giving you the reassurance and reliability for rack-mounted workstation and server solutions.\nArnold Standalone render done in time of scene, time (seconds).\nV-Ray 5.0 Benchmark \u2013 CUDA \u2013 Vpaths Score.\nBlender Cycles Open Data CLI OPTIX Geomean (Score \u2013 Samples/Minute).\nPerformance may vary by system, application workflow, or scene. Tests run on 13th Gen Intel(R) Core(TM) i7-13700H. 64GB system memory, NVIDIA Driver 528.07 MSHybrid. Apple MacBook Pro 16\" M2 Max SoC (12-Core CPU 3.5GHz, 38-Core GPU). GPU TGP: RTX 5000: (150W), RTX 4000: (115W), RTX 3500, RTX 3000: (80W), RTX 2000: (35W).\nNever run out of graphics memory again. With up to 48GB of memory from the desktop, or 16GB from a laptop, edit and grade up to 8K high-resolution video in real-time with more layers, transitions, and effects.\nDo more with video using AI or Machine Learning like AI up-res, auto-color matching, auto-reframing, Z-depth map extraction from faces, and much more.\nManage and customize your workspace for specific tasks like video editing and color grading with nView Desktop Management Software.\nAccelerate your workflow by avoiding unnecessary system memory copies and CPU overhead. Copy data straight to graphics card memory with GPUDirect for Video.\nDaVinci Resolve dual encoder test H265 - 8K time (s).\nRedCine-X Pro Geomean (FPS).\nAdobe Premiere Pro total encode time (2 tests) Total Time (Seconds).\nCreate compelling photorealistic renderings faster with lifelike reflections, shadows, and lighting with ray-tracing acceleration.\nHarness the power of artificial intelligence with features like DLSS and AI-accelerated denoising to remain in the creative flow while quickly exploring different design options.\nWalk through large 3D models at lifelike scale in virtual reality to view designs from all angles and viewpoints.\nHitting memory limits has become a thing of the past with up to 48GB of GPU memory in desktop workstations, or up to 16GB of GPU memory from a laptop.\nHave the creative freedom to use multiple applications simultaneously, with large GPU memory that enables simultaneous usage between graphic design, photography and 3D applications like Adobe Photoshop, Substance Painter, Lightroom and Dimension.\nUse the power of AI to enhance image quality, add effects, edit faster, and even create 3D assets from 2D images.\nCreate realistic, ray-traced 3D assets from high-quality photos, bringing real-world materials and objects into the virtual world.\nAdobe Photoshop - Super Resolution \u2013 BatchTimeSave Total Time (Seconds).\nThe future of advertising is becoming more immersive than ever. Create hyper-realistic virtual and augmented realities using high-performance professional graphics cards in both desktop and mobile workstations.\nFrom digital signage to massive video walls and immersive domes capture imaginations with the largest, most engaging experiences. Leverage features like Mosaic multi-display, warp and blend, and Quadro Sync.\nIn the broadcast game, time is money. NVIDIA RTX graphics cards bring you the best in AI, on-air graphics, virtual sets and video editing, plus unrestricted video encoding sessions to ensure smooth operation when it matters most.\nFind the Perfect Professional RTX Studio Product for You\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/media-and-entertainment/wpp/#nav-lvl1-tab4-lvl2-tab7": "WPP, the world\u2019s largest marketing communications company, and NVIDIA are collaborating to transform creative and advertising services with generative AI and Omniverse.\nSee how NVIDIA and WPP are transforming advertising production and branded 3D experiences by unifying content creation workflows with NVIDIA OmniverseTM and Universal Scene Description (OpenUSD).\nWPP\u2019s generative AI powered content engine supercharges interactive branded content for marketing and online shopping\nOmniverse Cloud will be available as APIs, extending the reach of the world\u2019s leading platform for creating industrial digital twins across the entire ecosystem of software makers.\nWPP is the first to launch automotive marketing services on NVIDIA Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nWPP is building a content engine harnessing NVIDIA AI and Omniverse to enable creative teams to produce high-quality advertising at scale faster and more efficiently, while remaining fully aligned with a client\u2019s brand.\nDENZA, the luxury EV brand joint venture between BYD and Mercedes-Benz, has collaborated with marketing and communications giant WPP and NVIDIA Omniverse Cloud to build and deploy its next generation of car configurator.\nNVIDIA CEO Jensen Huang discussed AI-enhanced creativity in a conversation with Mark Read, CEO of WPP, at the Cannes Lions Festival.",
    "https://www.nvidia.com/en-us/omniverse/solutions/3d-design-collaboration/#benefits": "There are two methods to get started with developing on NVIDIA Omniverse:\nPlatform SDK\nFor developers looking to build an application from scratch, NVIDIA offers Omniverse Kit SDK and free sample applications that can be easily customized and extended.\nDownload the platform SDK here.\nCloud APIs\nFor developers looking to take only the pieces they need, NVIDIA offers Omniverse core technologies that are exposed as simple APIs that developers can self-host on any cloud, multi-cloud, or virtual private cloud, or, consume as a managed service from NVIDIA Omniverse Cloud on Microsoft Azure.\nOmniverse core APIs give developers the ability to integrate USD data ingest, and RTX-enabled output.\nApply for early access to APIs.",
    "https://www.nvidia.com/en-us/self-driving-cars/in-vehicle-computing/#nav-lvl1-tab1": "NVIDIA DriveWorks provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plug-ins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework. It\u2019s modular, open, and designed to be compliant with automotive industry software standards.",
    "https://www.nvidia.com/en-us/networking/products/cloud-native-supercomputing/": "To deliver maximum performance, supercomputers need to offer multi-tenancy security\u2014which is ideally achieved through cloud-native platforms. The key element that enables this architecture transition is the DPU.\nAs a fully integrated data center-on-a-chip platform, the DPU can offload and manage data center infrastructure instead of the host processor, enabling security and orchestration of the supercomputer.\nCombined with NVIDIA Quantum InfiniBand switching, this architecture delivers optimal bare-metal performance, while natively supporting multi-node tenant isolation.",
    "https://www.nvidia.com/en-us/industries/energy/oil-gas-operations/#page-content": "Accelerate subsurface workloads with AI, high-performance computing (HPC) and visualization.\nOil and gas enterprises are becoming integrated energy companies, using improved processes to better explore, produce, transport, and distribute fuels to consumers around the world. Global initiatives for decarbonization are accelerating the transition from fossil fuels to alternative fuels with a smaller carbon footprint and scaling renewable energy, such as wind, solar, nuclear, hydroelectric, green hydrogen and geothermal.\nLearn how ExxonMobil, Shell, SLB, and Petrobras are using AI and HPC to enhance energy exploration and production, reduce operational emissions, and accelerate carbon capture, utilization, and storage (CCUS) development.\nSee how Stone Ridge Technology accelerated simulations of multi-million-cell deep-water reservoirs, offshore oil fields, and deep-water gas fields with ECHELON 2.0 running on Eni's HPC5 cluster.\nLearn from energy companies using AI to improve energy production and reduce operating costs.\nLearn how Saudi Aramco built an AI assistant to enhance seismic data processing\u2014compiled with NVIDIA\u00ae TensorRT\u2122-LLM, deployed using NVIDIA Triton\u2122 Inference Server, and fine-tuned with NVIDIA NeMo\u2122 Guardrails.\nSaudi Aramco\nLearn how Petrobras built SolverBR\u2014a specialized linear solver powered by the Arm\u00ae-based NVIDIA Grace\u2122 CPU\u2014and achieved up to a 60 percent speedup in reservoir simulations.\nLearn how Shell used NVIDIA DGX systems to determine salt boundaries in reservoir modeling, enable 4K iterative image reconstruction, test new designs for industrial plants, and drive advancements in sustainable new materials.\nShell\nAs the world moves toward a more sustainable future, global leaders in energy are accelerating their key HPC and AI workloads with NVIDIA\u2019s full-stack platform. The result? Some of the most powerful, efficient supercomputers in the industry\u2014including those from Eni, ExxonMobil, Petrobras, Saudi Aramco, Total, and the U.S. Department of Energy\u2014are built on NVIDIA technology and continually rank near the top of the TOP500 and Green500 lists.\nOur collaboration with NVIDIA provides great value because NVIDIA brings expertise in AI and a powerful HPC platform to conduct these studies. Conversely, Shell injects realism and provides the energy experience that provides great value to NVIDIA.\n\u2013 Detlef Hohl, Chief Scientist of Computation and Data Science, Shell\nShell has ongoing work with NVIDIA: more realistic 3D reservoir models (e.g., dipping reservoir) for CO2 storage, layered geology with horizontal and vertical heterogeneity, computationally efficient FNO-based networks dealing larger input datasets and providing acceptable predictions over longer time windows (hundreds of years), and next-generation digital twin models of deep earth for carbon capture and storage (CCS) applications in real time with uncertainty assessment.\n\u2013 Pandu Devarakota, Principal Science Expert, Shell\nIn 2022, over 70 percent of computing resources at BP\u2019s Center for High-Performance Computing were used by reverse time migration (RTM)-related applications. In RTM benchmarking and validation tests, we found that one NVIDIA HGX A100 with no compression achieved up to a 35X peak shot runtime speedup compared to our in-house CLXAP cluster.\n\u2013 Muhong Zhou, Senior HPC Software Developer, BP\nWe can examine the contribution of AI to the energy sector from three dimensions: energy forecasting, carbon capture, and predictive maintenance... AI algorithms are being used for energy forecasting, to predict energy demand, and to optimize economic value... AI can be used to reduce carbon emissions by analyzing data from multiple sources regarding weather, soil, and crop yield... to optimize our supply chain logistics and reduce our carbon footprint... AI can also help energy companies monitor the performance of their assets and equipment.\n\u2013 Nayef Otaibi, Vice President and Chief Digital Officer, Saudi Aramco\nThe exploration and production (E&P) industry generates a vast amount of data, including well logs, seismic data, production data, drilling data, and other sources. Natural language processing (NLP) and large language models (LLMs) have provided the ability to integrate sources with descriptive, diagnostic, prescriptive, and predictive insights that enhance return on investment. In reservoir modeling, NLP and LLMs improve integrating sources from well logs, seismic data, and production data\u2014bringing critical understanding to the subsurface that\u2019s significant to our operations.\n\u2013 Saud Zakwani, Head of Data Science, Petroleum Development Oman\nAI can help in site selection and allocation by studying the physics, geology, and metrology of different locations to optimize solar plants or wind farms and make them more cost-effective and productive. Once facilities are deployed, we can look at AI to balance the grid and identify production capacity predicted from renewable energy. AI can help optimize a large installation of batteries, such as charging and discharging or maintenance issues.\n\u2013 Yehia Khoja, Ministry of Energy, Head of AI and Business Development, Kingdom of Saudi Arabia\nSystems powered by NVIDIA A100 80GB Tensor Core GPUs demonstrate superb performance uplifts compared to CPU performance running SLB\u2019s INTERSECT high-resolution reservoir simulator.\nShearwater GeoServices is optimizing their Reveal seismic processing software for NVIDIA GPUs to help energy companies enhance seismic data and efficiently run compute-intensive imaging algorithms.\nImage courtesy of AWS and MATLAB.\nUnderstand how geoscientists can use shallow deep learning-based algorithms with MATLAB on AWS and AI models to automatically recognize distinct geologic features in seismic images.\nLearn how to develop and deploy AI-based seismic facies classification by leveraging cloud-based HPC resources for faster prototyping and development with large 3D seismic datasets.\nLearn about the AI and HPC hardware and software for oil and gas.\nNVIDIA DGX H100 expands the frontiers of business innovation and optimization. The latest iteration of NVIDIA\u2019s legendary DGX systems and the foundation of NVIDIA DGX SuperPOD\u2122, DGX H100 is the AI powerhouse that\u2019s accelerated by the groundbreaking performance of the NVIDIA H100 Tensor Core GPU.\nNVIDIA DGX SuperPOD is an AI data center infrastructure platform that enables IT to deliver performance without compromise for every user and workload. DGX SuperPOD offers leadership-class accelerated infrastructure and agile, scalable performance for the most challenging AI and HPC workloads, with industry-proven results.\nNVIDIA DGX Cloud is a multi-node AI-training-as-a-service solution optimized for the unique demands of enterprise AI. Access NVIDIA DGX Cloud to experience a combined software and infrastructure solution for AI training that includes a full-stack AI developer suite, leadership-class infrastructure, and concierge support.\nThe NVIDIA Grace\u2122 Hopper\u2122 Superchip is a breakthrough accelerated CPU designed from the ground up for giant-scale AI and HPC applications. The superchip delivers up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world\u2019s most complex problems.\nThe NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries, and software tools essential to maximizing developer productivity and the performance and portability of HPC modeling and simulation applications.\nWith NVIDIA AI Enterprise, energy companies can speed up development of use case applications, such as reservoir simulation, seismic processing, and predictive maintenance. Learn how to get access to NVIDIA AI Enterprise with free curated labs to start testing.\nNVIDIA vGPU software enables powerful GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization, as well as the performance of NVIDIA GPUs required for modern workloads.\nNVIDIA NeMo\u2122, part of the NVIDIA AI platform, is an end-to-end, cloud-native enterprise framework for building, customizing, and deploying generative AI models with billions of parameters. Energy companies are exploring large language models in sentiment analysis for oil price prediction, as well as integrating sources from well logs, seismic data, and production data to generate real-time insights.\nNVIDIA Metropolis features GPU-accelerated SDKs and developer tools that help developers optimally build, deploy, and scale AI-enabled video analytics and IoT applications\u2014from the edge to the cloud.\nUse NVIDIA RAPIDS\u2122 to apply a wide variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH\u2019s single-source shortest path, cuML\u2019s k-nearest neighbor (KNN), DBSCAN, and logistic regression, for data analysis at scale.\nGain an understanding of the various building blocks of NVIDIA Modulus, the basics of physics-informed deep learning, and how the framework integrates with the overall NVIDIA Omniverse\u2122 platform.\nLearn how to reduce complexity and improve portability and efficiency of your code by using a containerized environment for HPC application development.\nLearn how to use NVIDIA Base Command\u2122 Platform to accelerate containerized AI training workloads, identify the tools necessary to build an AI center of excellence, and get the basics of working with, modifying, and running Docker containers from NVIDIA NGC\u2122.\nTransform your AI workloads with the NVIDIA H100 Tensor Core GPU, featuring Multi-Instance GPU (MIG), the Transformer Engine, and NVIDIA AI Enterprise.\nExplore NVIDIA Inception, the free program designed to help startups evolve faster through access to cutting-edge technology and NVIDIA experts, connections with venture capitalists, and co-marketing support to raise visibility.\nConnect with millions of like-minded developers in the NVIDIA Developer Program to do your life\u2019s work, and gain access to free containers, pretrained models, SDKs, technical documentation, and peer and domain expert help.\nExpand and support your portfolio with NVIDIA\u2019s Venture Capital (VC) Alliance, an initiative between NVIDIA and investors around the world who are focused on startups building cutting-edge technology with AI, data science, and HPC.\nNVIDIA solutions for the energy industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.\nChat with NVIDIA energy experts to help solve your business challenges.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/solutions/cloud-xr/#nav-lvl1-tab4-lvl2-tab5": "Project Aurora simplifies deployment of on-premises XR applications at lab or enterprise scale. Customers are supported by a flexible ecosystem of OEMs, value-added resellers, software integration, and distribution partners to create and deliver custom, certified builds. With the collaboration of NVIDIA Professional Services, the delivery, set up, and start up of these builds is fully managed for the customer.",
    "https://www.nvidia.com/en-us/design-visualization/quadro-vdws/#nav-lvl1-tab4-lvl2-tab7": "Powerful Workstation Performance from Anywhere.\nNVIDIA RTX Virtual Workstation (vWS) software combined with our world-leading GPUs are a dynamic force for visual computing, delivering the most powerful virtual workstations from the data center or cloud to any device. Millions of creative and technical professionals can access the most demanding applications from anywhere, with awe-inspiring performance that rivals physical workstations, all while meeting the need for greater security.\nNVIDIA RTX vWS is the only virtual workstation that supports NVIDIA RTX technology, bringing advanced features like ray tracing, AI-denoising, and Deep Learning Super Sampling (DLSS) to a virtual environment. Supporting the latest generation of NVIDIA GPUs unlocks the best performance possible, so designers and engineers can create their best work faster. IT can virtualize any application from the data center with an experience that is indistinguishable from a physical workstation \u2014 enabling workstation performance from any device.\nSimplify real-time graphics workflows and connect users and teams with design tools, assets, and projects for collaborative iteration in a virtual world -- delivered from the data center or cloud with NVIDIA RTX vWS.\nIntegrate augmented reality (AR) and virtual reality (VR) into workflows to improve design reviews, virtual production, location-based entertainment, and more with NVIDIA CloudXR, fully scalable for data center and edge networks with NVIDIA RTX vWS.\nLower IT costs and get more business agility with vGPU Live Migration and Management & Monitoring tools.\nPower the most demanding workloads and dramatically speed performance by aggregating multiple NVIDIA vGPUs.\nIncrease productivity and utilization while decreasing costs leveraging GPU-accelerated compute resources to run mixed workloads.\nKeep end users productive with advanced performance and graphics features along with support for major ISV applications. All files and designs remain in the data center, greatly improving security and manageability.\nNVIDIA RTX Virtual Workstations provide performance that is on par with physical workstations. When selecting a GPU for your virtual workstation deployment consider both performance as well as performance per dollar. As you can see, those looking for the fastest performance, and support for the largest models should select the NVIDIA L40.\nUp to 3.8X Better Graphics Performance with L401\nUp to 1.4X Better Graphics Performance/Dollar with L41\n1 One user per GPU, running on a server configured with 64GB RAM per user. Cost includes GPU HW + 4 years of VGPU SW. SPECviewperf results tested on a server with 2x Xeon Gold 6154 3.0GHz (3.7GHz Turbo), VMware vSphere 7.0 U2, host/guest driver 470.63. NVIDIA RTX vWS 13, SPECviewperf 2020, 4K Geomean\nToyota leads the way in converting design work using high-end CAD to VDI with NVIDIA RTX vWS.\nRead Story >\nPaul Strickland Scanner Centre enables radiologists working remotely to access and report high-resolution patient scans.\nRead Story >\nThe Netherlands Cancer Institute updated their IT infrastructure to expedite research and streamline patient care.\nDNEG enabled access to virtual workstations from anywhere with performance on par with physical workstations.\nExperience RTX vWS with Test Drive, or register for a 90-day free trial. Simplify deployment of RTX vWS with fully tested and certified NVIDIA EGX Platform for Professional Visualization available from an NVIDIA Partner.\nNVIDIA RTX vWS can be accessed in minutes via an NVIDIA Partner Network Cloud Service Provider (CSP) to enable trusted NVIDIA accelerated workstation performance that can be scaled up and down to match business needs.\nVirtual Desktop (VDI) for knowledge workers who use office productivity applications & multimedia.\nApplication streaming with Remote Desktop Session Host (RDSH) solutions.\nFind an NVIDIA partner who sells the NVIDIA vGPU solution.\nAccess the latest NVIDIA vGPU software.\nContact NVIDIA Enterprise Support.",
    "https://www.nvidia.com/en-us/data-center/base-command/#nav-lvl1-tab3": "The operating system of the NVIDIA DGX data center.\nNVIDIA Base CommandTM powers the NVIDIA DGXTM platform, enabling organizations to leverage the best of NVIDIA AI innovation. With it, every organization can tap the full potential of their DGX infrastructure with a proven platform that includes AI workflow management, enterprise-grade cluster management, libraries that accelerate compute, storage, and network infrastructure, and system software optimized for running AI workloads.\nThe same software that supports NVIDIA\u2019s thousands of in-house developers, researchers, and AI practitioners is now available across the NVIDIA DGX platform, featuring best-of-breed developer software, infrastructure management, and accelerated infrastructure libraries.\nBase Command provides Kubernetes, Slurm, and Jupyter Notebook environments for DGX infrastructure, delivering an easy-to-use, enterprise-proven scheduling and orchestration solution based on well-established enterprise standards.\nNVIDIA Base Command Manager provides full-featured cluster management of DGX systems. Whether it\u2019s initial provisioning, operating system and firmware updates, or real-time monitoring, your DGX cluster is covered. For other NVIDIA-accelerated systems, NVIDIA Base Command Manager Essentials is included as part of NVIDIA AI Enterprise.\nThe complete Base Command software stack is optimized for DGX environments that scale from a single node to large-scale clusters and the cloud, ensuring maximum performance and productivity.\nWith Base Command, DGX infrastructure is paired with the software that brings aspirations within reach. Base Command supports an organization\u2019s AI journey, from their first system all the way to a TOP500-class NVIDIA DGX SuperPODTM.\nThe fastest way to get started using the DGX platform is NVIDIA DGX Cloud, a serverless AI-training-as-a-service platform purpose built for enterprises developing generative AI.\nLearn how Base Command simplifies, optimizes, and accelerates NVIDIA DGX infrastructure.\nNVIDIA Enterprise Services provide support, education, and professional services for your DGX infrastructure. With NVIDIA experts available at every step of your AI journey, Enterprise Services can help you get your projects up and running quickly and successfully.\nNVIDIA Base Command is part of the NVIDIA DGX platform.\nNVIDIA Base Command is available with the purchase of NVIDIA DGX systems.\nInterested in a hands-on experience with NVIDIA software solutions? Apply for a free trial on NVIDIA LaunchPad.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/about-nvidia/nvidia-awards/": "Best Places to Work, Employees\u2019 Choice GLASSDOOR\nMost Innovative Company FAST COMPANY\nCULTURE CHAMPION MIT Sloan & Glassdoor\nSustainability Index DOW JONES\nBest Corporate Citizens JUST 100\nBest-Performing CEOs HARVARD BUSINESS REVIEW\nWe've also been recognized for our efforts in these important areas.\nRank #2 on the Dave Thomas Foundation 100 Best Adoption-Friendly Workplaces\nBest Places to Work for LGBTQ Equality, Human Rights Campaign Foundation\nDonations and employee fund-matching programs for community and charitable organizations\nFortune 100 Best Workplaces for Millennials, workers born between 1981 and 1997\nFortune 50 Best Workplaces for Parents, with an emphasis on work/life balance",
    "https://www.nvidia.com/en-us/design-visualization/solutions/quadro-vr/#nav-lvl1-tab4-lvl2-tab5": "As real as it gets.\nExtended reality (XR) is revolutionizing professional workflows with technology that makes it possible to work at scale. Holding virtual models in your hands, walking through entire virtual buildings, rehearsing complex surgical procedures in virtual environments, \u2014 XR is completely changing how people experience the workplace.\nNVIDIA's XR platform \u2014 which includes NVIDIA VR Ready GPUs, groundbreaking XR tools, and development software \u2014 drives the world's greatest VR experiences.\nNVIDIA's VR platform \u2013 which includes NVIDIA Quadro\u2122 VR Ready GPUs, software, and VRWorks\u2122 SDKs \u2013 drives the world's greatest VR experiences.\nNVIDIA CloudXR\u2122, a groundbreaking innovation built on NVIDIA RTX\u2122 technology, delivers VR and AR across 5G and Wi-Fi networks.\nNVIDIA VRWorks\u2122 enables a new level of presence by bringing physically realistic visuals, sound, touch interactions, and simulated environments to virtual reality.\nThe NVIDIA VR Ready program ensures system components \u2013 GPU, CPU, HMD, and drivers \u2013 will provide the best immersive virtual reality experiences.\nNVIDIA Omniverse Create is an app that accelerates advanced scene composition and allows users to interact with their assembled scenes.\nNVIDIA VCR enables developers and users to accurately capture and replay VR sessions for performance testing, scene troubleshooting, and more.\nFrom foveated displays to collaboration platforms for virtual worlds, explore the latest in virtual and augmented reality and how it can be integrated into your workflows.\nFactory 42 combined captivating storytelling with cutting-edge technology to elevate the AR experience and deliver high-fidelity, photorealistic virtual environments over 5G networks using NVIDIA RTX and CloudXR.\nNVIDIA Virtual Reality Capture and Replay (VCR) enables developers and users to accurately capture and replay VR sessions for performance testing, scene troubleshooting, and more. Now available for early access users.\nStreaming XR is changing the model of distributing immersive applications. Learn how servers are built to deliver immersive workloads and take advantage of compute power to combine XR applications with AI and other computing functions.\nExtended reality, or XR, is a collective term that refers to immersive technologies, including virtual reality, augmented reality, and mixed reality. Learn more about what this means for our world today.\nNVIDIA CloudXR users harness the full power and visual richness delivered by NVIDIA\u2019s RTX GPUs while enjoying the freedom and mobility of untethered AR and VR devices.\nVolvo brings new levels of collaboration to design reviews by streaming ESI Group\u2019s IC.IDO using NVIDIA CloudXR.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce/geforce-experience/": "Capture and share videos, screenshots, and livestreams with friends. Keep your drivers up to date and optimize your game settings. GeForce Experience\u2122 lets you do it all, making it the super essential companion to your GeForce\u00ae graphics card or laptop.",
    "https://www.nvidia.com/en-us/self-driving-cars/partners/pony-ai/#nav-lvl1-tab3": "Pony.ai is a leading global autonomous driving technology company that develops intelligent systems for safer, more efficient transportation. Its platform leverages NVIDIA DRIVE Orin\u2122 for low latency, high performance, and high reliability. This software-defined architecture helps Pony.ai achieve scalable deployment across self-driving trucks and robotaxis, and accelerate its future of a robust, mass-production solution for AVs.\nThe need for redundant and diverse sensors and computing systems makes it challenging to design and optimize the processing pipeline. In this post, explore the evolution of Pony.ai\u2019s on-vehicle sensor data processing pipeline.\nLearn about the high-performance, energy-efficient AI compute platform to be integrated into the fleet of Toyota Sienna level 4 autonomous vehicles.\nSee the technological milestones achieved with road testing in China, including Pony.ai\u2019s soft launch of China's first-ever autonomous vehicle robotaxi service.\nExplore the GTC 2022 Session with Ke Li, Software Engineer, Pony.ai and Petr Shepelev, Senior Systems Software Engineer, NVIDIA\nNVIDIA automotive solutions are available to automakers, tier 1 suppliers, startups, and research institutions working on the future of transportation.\nThis form is for automotive inquires only. For other inquiries, please click here.",
    "https://www.nvidia.com/en-us/geforce-now/#page-content": "Your fast pass to 24 hours of GeForce RTX-powered cloud gaming. Experience all premium member benefits, no membership required.\nGeForce NOW connects to digital PC game stores so you can stream the games you already own. Plus, game purchases you make on your personal store accounts will always stay with you.\nGeForce NOW instantly transforms your laptop, desktop, Mac, TV, Android device, iPhone, or iPad into the powerful PC gaming rig you\u2019ve always dreamed of.\nOur premium membership plans offer you fastest access to the highest performance GeForce RTX rigs for a high-resolution, ultra-low latency, and competitive experience.\nSay goodbye to large game downloads, updates, and patches. All GeForce NOW games are always up to date, so you can spend less time waiting and more time gaming.\nStream directly from GeForce RTX GPUs.\nExperience incredibly realistic effects.\nJump straight to the front of the queue.\nPlay for hours without interruption.\nShadows, textures, and effects\u2014all maxed.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/omniverse/cloud/#nav-lvl1-tab4-lvl2-tab3": "A fully managed platform-as-a-service offering for developing generative AI-enabled OpenUSD applications.\nNVIDIA Omniverse\u2122 Cloud is a platform of APIs, SDKs, and services available within a full-stack cloud environment for enterprise developers to easily integrate Universal Scene Description (OpenUSD) and RTX rendering technologies into their 3D industrial digitalization applications.\nFast-track access to secure cloud service infrastructure and NVIDIA Omniverse software and services\u2014from anywhere.\nAccess a fully optimized infrastructure and development platform to accommodate the most demanding 3D and digitalization workloads\u2014all with a single subscription.\nTap into a true PaaS experience that enables enterprise teams to build advanced OpenUSD-based tools and applications for 3D workflows and digital twins.\nEffortlessly scale users and applications as your industrial digitalization projects grow.\nSee how you can leverage Omniverse Cloud as a platform-as-a-service to enable industrial digitalization efforts.\nWPP\nProduce high-quality content with generative AI tools built on NVIDIA Picasso, and publish interactive brand experiences with NVIDIA\u2019s Graphics Delivery Network (GDN).\nForetellix\nForetellix, an AV validation tool developer, unlocks sensor simulation with Omniverse Cloud APIs to improve safety while accelerating workflows and reducing costs.\nAmazon Robotics\nBootstrap training and accuracy of computer vision networks with NVIDIA Omniverse Replicator.\nPegatron\nImprove warehouse or factory layouts and train intelligent robotic assistants with NVIDIA Isaac Sim\u2122 and Omniverse Replicator.\n*Pricing for Graphics Delivery Network (GDN) is separate from Omniverse Cloud platform-as-a-service.\nDevelopers can supercharge advanced 3D applications and experience development by accessing Omniverse Cloud APIs.\nComing Soon\nGDN uses NVIDIA\u2019s global cloud streaming infrastructure to deliver high-fidelity, interactive 3D experiences to any web device.\nNVIDIA Omniverse\u2122 Cloud is a fully managed platform-as-a-service (PaaS) for developing generative AI-enabled OpenUSD applications. It provides developers and enterprises with a full-stack cloud environment to easily integrate Universal Scene Description (OpenUSD) and RTX rendering technologies into their 3D industrial digitalization applications.\nDeployed on NVIDIA OVX servers, Omniverse Cloud features a suite of customizable sample applications and frameworks for developers to build custom workflows. These include 3D asset aggregation and scene assembly, digital twin development, synthetic data generation, robotics testing and simulation, and autonomous vehicle training and validation.\nOmniverse Cloud platform-as-a-service includes access to NVIDIA experts and Enterprise Support to minimize system downtime and maximize system utilization and user productivity.\nOmniverse Cloud PaaS is currently available to enterprises as a private cloud offering from NVIDIA. The service is cloud-agnostic and is currently available on Microsoft Azure.\nYes, Omniverse developers can deploy containers available on NVIDIA NGC in public clouds like AWS, Microsoft Azure, and others.\n*An Omniverse Enterprise license is required.\nOmniverse Cloud platform-as-a-service is available as an enterprise private offer. Please contact sales.\nThank you for your interest in NVIDIA Omniverse Enterprise, Omniverse Cloud, and OVX. We would love to help you get started. Fill out the form and an expert will get back to you shortly.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/self-driving-cars/partners/pony-ai/#nav-lvl1-tab4-lvl2-tab5": "Pony.ai is a leading global autonomous driving technology company that develops intelligent systems for safer, more efficient transportation. Its platform leverages NVIDIA DRIVE Orin\u2122 for low latency, high performance, and high reliability. This software-defined architecture helps Pony.ai achieve scalable deployment across self-driving trucks and robotaxis, and accelerate its future of a robust, mass-production solution for AVs.\nThe need for redundant and diverse sensors and computing systems makes it challenging to design and optimize the processing pipeline. In this post, explore the evolution of Pony.ai\u2019s on-vehicle sensor data processing pipeline.\nLearn about the high-performance, energy-efficient AI compute platform to be integrated into the fleet of Toyota Sienna level 4 autonomous vehicles.\nSee the technological milestones achieved with road testing in China, including Pony.ai\u2019s soft launch of China's first-ever autonomous vehicle robotaxi service.\nExplore the GTC 2022 Session with Ke Li, Software Engineer, Pony.ai and Petr Shepelev, Senior Systems Software Engineer, NVIDIA\nNVIDIA automotive solutions are available to automakers, tier 1 suppliers, startups, and research institutions working on the future of transportation.\nThis form is for automotive inquires only. For other inquiries, please click here.",
    "https://www.nvidia.com/en-us/events/computex/?nvid=nv-int-cwmfg-627085#nav-lvl1-tab4": "In addition to the vibrant exhibition and demonstrations, Marc Hamilton, vice president of solutions architecture and engineering at NVIDIA, will take the stage at the TAITRA forum, a key segment of COMPUTEX dedicated to cutting-edge discussions in technology.\nAs part of the 'Let's Talk Generative AI' forum, Hamilton will present his talk titled 'Infra Build Train Go' on June 5, from 10:00 to 10:30 a.m. at the 701 Conference Room, 7F, Taipei Nangang Exhibition Center Hall 2.",
    "https://www.nvidia.com/en-us/design-visualization/workstations/#nav-lvl1-tab4-lvl2-tab7": "NVIDIA RTX and NVIDIA Quadro RTX powered workstations bring the latest in real-time ray tracing, artificial intelligence, and advanced graphics capabilities to millions of design and visualization professionals. And with NVIDIA RTX Virtual Workstation software, professionals can access NVIDIA RTX accelerated workstations from on prem data centers or the cloud for the flexibility to work from anywhere. Get the edge to create revolutionary products, design energy-efficient buildings, and produce groundbreaking visual effects with a workstation that lets you work better, smarter, and faster than ever before.",
    "https://www.nvidia.com/en-us/on-demand/session/gtc24-ep64028/?playlistId=playList-d63e5c44-196c-4246-bdca-d2a7bd2e00c1&ncid=so-twit-531268-vt53&=&linkId=100000251434186": "Artificial Intelligence Computing Leadership from NVIDIA\nMy Account\nLog In\nLog Out\nEN\nEN\n\u7b80\u4e2d\n\u65e5\u672c\u8a9e\n\ud55c\uad6d\uc5b4\n\u7e41\u4e2d\nNVIDIA On-Demand\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nThis site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. 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You may contact us by sending an email to <a href=\"mailto:[email protected]\">[email protected]</a> to resolve related problems.\nSubmit\nFollow NVIDIA\nFacebook\nInstagram\nLinkedIn\nTwitter\nYouTube\nNVIDIA\nUnited States\nPrivacy Policy\nManage My Privacy\nDo Not Sell or Share My Data\nTerms of Service\nAccessibility\nCorporate Policies\nProduct Security\nContact\nCopyright \u00a9 2024 NVIDIA Corporation",
    "https://www.nvidia.com/en-us/omniverse/solutions/digital-twins/#nav-lvl1-tab1": "Harness the power of large-scale, physically-based OpenUSD simulation for industrial applications.\nVideo courtesy of HEAVY.AI\nWith NVIDIA Omniverse\u2122 Enterprise deployed on NVIDIA OVX\u2122, developers are building applications to power physically-based, AI-enabled digital twins, giving them the superpowers to design, simulate, and optimize products, equipment, and processes in real time before going to production.\nSiemens and NVIDIA are collaborating to connect the Siemens Xcelerator and NVIDIA Omniverse platforms to unlock industrial digitalization.\n\u201cFor over a decade, our digital twin technology has been helping customers across all industries to boost their productivity and today offer the industry\u2019s most comprehensive digital twin. When Siemens Xcelerator is connected to Omniverse, we will enable a real-time, immersive metaverse that connects hardware and software, from the edge to the cloud with rich data from Siemens\u2019 software and solutions.\u201d\n\u2014 Roland Busch, President and Chief Executive Officer, Siemens AG\nSee the ecosystem of developers that are integrating Omniverse OpenUSD and RTX technologies into their software, solution, and services portfolios.\nDeveloper Use Cases\nBMW Group\nWPP\nDENZA\nMercedes-Benz\nSiemens Energy\nSiemens Gamesa\nU.K. Atomic Energy Authority\nHEAVY.AI\nNVIDIA\nSiemens\nDelta Electronics\nPegatron\nWistron\nAmazon Robotics\nLowe\u2019s\nPepsiCo\nEarth-2 Data: DKRZ/MPI-M, ICON Model\nCesium\nLockheed Martin and NVIDIA\nAnnouncements\nNVIDIA and Intrinsic jointly announced foundation models enabled by NVIDIA Isaac Manipulator and Intrinsic\u2019s FlowState.\nAnsys, Cadence, Hexagon, Microsoft, Rockwell Automation, Siemens, and Trimble adopt Omniverse technologies to help customers design, simulate, build, and operate physically based digital twins.\nNew Omniverse Cloud APIs to let developers beam interactive, industrial digital twins into spatial computing.\nScalable cloud services bring state-of-the-art simulation capabilities to AV, robotics, and computer vision developers.\nDigital twin reference architecture supported by Ansys, Cadence, Patch Manager, Schneider Electric, Vertive, and more sets the foundation for highly efficient AI infrastructure.\nIntegrating digital twins and generative AI from NVIDIA Omniverse into Siemens Teamcenter X is transforming the way products are designed and manufactured.\nOrchestrate 3D data pipelines to design, develop, and visualize digital twins and large-scale virtual simulation environments.\nPower photorealistic, physically accurate virtual environments with scalable robotics simulation and synthetic data generation.\nPower digital twins and complex simulation workloads at scale with a purpose-built system.\nDeliver AI safely and securely to support human and machine collaboration.\nNVIDIA Omniverse\u2122 Cloud is a platform-as-a-service providing developers a full-stack cloud environment to design, develop, deploy, and manage industrial digitalization applications.\nResources\nRead our \u201c5 Steps to Get Started with Digital Twins\u201d ebook, explore example use cases, or reach out to an Omniverse specialist.\nSessions from GTC\nUse Case\nFree Trial\nThank you for your interest in NVIDIA Omniverse Enterprise, Omniverse Cloud, and OVX. We would love to help you get started. Fill out the form and an expert will get back to you shortly.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce/news/nvidia-ace-gdc-gtc-2024-ai-character-game-and-app-demo-videos/?nvid=nv-int-drvr-715773": "Ubisoft\u2019s NEO NPCs Explores the Possibilities of Digital Humans in Games with Inworld AI & NVIDIA ACE Technologies\nUbisoft is exploring new types of interactive gameplay with dynamic Non Player Characters (NPCs), a field that is being revolutionized with the emergence of generative AI technologies. \u201cNEO NPCs\u201d the product of their latest research and development project are advanced NPCs designed to interact in real time with players, their environment and other characters, opening up new possibilities for dynamic and emergent storytelling.\nUbisoft showcased the capabilities of these NEO NPCs through three separate demo scenarios. Each scenario focuses on different aspects of NPC behaviors, environmental and contextual awareness; a spectrum of real-time reactions and animations; as well as conversation memory, collaboration and strategic decision-making. Combined, these discoveries through the experiment pushes the boundaries of game design and immersion.\nWith NEO NPCs, Ubisoft\u2019s narrative and animation designers blended the reliability of scripted game elements with the dynamism of spontaneous player interactions, nudging the future of game development towards new horizons.\nLeveraging Inworld AI technology, Ubisoft\u2019s narrative team created two NEO NPCs, Bloom and Iron, who have their own background story, knowledge base, and different conversational styles to establish these unique characters in the demo universe.\nInworld technology also provides the NEO NPCs with intrinsic knowledge of their surroundings, as well as interactive responses courtesy of Inworld\u2019s LLM. NVIDIA Audio2Face provides facial animations and lip synching for the two NPCs\u2019 faces in real-time.",
    "https://www.nvidia.com/en-us/data-center/solutions/mlops/#nav-lvl1-tab1": "The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates data science pipelines and streamlines development and deployment of production AI, including generative AI, computer vision, speech AI, and more. With over 100 frameworks, pretrained models, and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI and deliver enterprise-ready MLOps with enterprise-grade security, reliability, including API stability, and support.",
    "https://www.nvidia.com/en-us/self-driving-cars/partners/pony-ai/#nav-lvl1-tab4-lvl2-tab7": "Pony.ai is a leading global autonomous driving technology company that develops intelligent systems for safer, more efficient transportation. Its platform leverages NVIDIA DRIVE Orin\u2122 for low latency, high performance, and high reliability. This software-defined architecture helps Pony.ai achieve scalable deployment across self-driving trucks and robotaxis, and accelerate its future of a robust, mass-production solution for AVs.\nThe need for redundant and diverse sensors and computing systems makes it challenging to design and optimize the processing pipeline. In this post, explore the evolution of Pony.ai\u2019s on-vehicle sensor data processing pipeline.\nLearn about the high-performance, energy-efficient AI compute platform to be integrated into the fleet of Toyota Sienna level 4 autonomous vehicles.\nSee the technological milestones achieved with road testing in China, including Pony.ai\u2019s soft launch of China's first-ever autonomous vehicle robotaxi service.\nExplore the GTC 2022 Session with Ke Li, Software Engineer, Pony.ai and Petr Shepelev, Senior Systems Software Engineer, NVIDIA\nNVIDIA automotive solutions are available to automakers, tier 1 suppliers, startups, and research institutions working on the future of transportation.\nThis form is for automotive inquires only. For other inquiries, please click here.",
    "https://www.nvidia.com/en-us/csr/#page-content": "We strive to make NVIDIA a place where employees create positive change in the world.\nWe\u2019re honored to be awarded second place in Glassdoor\u2019s 2024 Best Places to Work.\nBy the end of FY25, and annually thereafter, we expect to achieve and maintain 100% renewable electricity for offices and data centers under our operational control.\nNVIDIA Blackwell GPUs are generally 20X more energy efficient than traditional CPUs for certain AI and high-performance computing (HPC) workloads.\nNVIDIA powers the most efficient supercomputer on the November 2023 Green500 list.\nAI represents the most profound technological shift in our era, touching virtually every industry.",
    "https://www.nvidia.com/en-us/industries/finance/#resources": "Accelerate financial services with AI.\nMassive datasets. Perpetual market fluctuations. Customer inquiries. Intelligent technology can address critical challenges within the modern financial services industry. With NVIDIA\u2019s AI solutions\u2014for generative AI, large language models (LLMs), data analytics, and more\u2014institutions can optimize trading, detect transaction fraud, and enhance customer experiences.\nDive into the data compiled from a survey of over 400 financial services professionals from around the world. Discover the trends, challenges, and opportunities that will define the state of AI in financial services in 2024.\nImprove your team\u2019s fraud detection and risk assessment workloads with NVIDIA RAPIDS\u2122 Accelerated Apache Spark.\nHarness accelerated computing for trading.\nFaster processing results in smarter trading strategies, more successful trade execution, and increased revenue so firms can remain competitive.\nIntelligent document processing with generative AI lets financial institutions gather insights from unstructured data, enabling faster decision-making and reducing the risk of financial losses.\nWith the NVIDIA AI platform, firms can learn from vast amounts of data and respond quickly to market fluctuations.\nEnhance customer service with generative AI.\nAs the global service economy grows, banks are relying increasingly on contact centers to drive better customer experiences and operational efficiency.\nBanks can enhance customer interactions with generative AI-powered chatbots. Using retrieval-augmented generation (RAG), these chatbots can deliver more accurate, personalized, and sophisticated responses than traditional chatbot solutions.\nPrevent fraud with end-to-end data science.\nFinancial institutions need to detect and prevent fraudulent activities, including identity theft, account takeover, and money laundering. AI-enabled applications can reduce false positives in transaction fraud detection, enhance identity verification accuracy for know-your-customer (KYC) requirements, and boost the effectiveness of anti-money laundering (AML) efforts.\nThe NVIDIA RAPIDS Accelerator for Apache Spark accelerates processing time up to 5X or more and allows the same work to be completed with 4X less infrastructure cost.\nFeatured\nExplore how financial institutions can boost risk management, improve security, reduce fraud, and enhance customer experiences with AI.\nWebinars\nLearn how to build and execute end-to-end GPU-accelerated data science workflows that lets you quickly explore, iterate, and get your work into production in this self-paced lab. Using the RAPIDS accelerated data science libraries, you'll learn how to apply a wide variety of GPU-accelerated machine learning algorithms to perform data analysis at scale.\nIn this free, self-paced course, get hands-on experience developing and deploying the NVIDIA Morpheus digital fingerprinting AI workflow, which enables 100 percent data visibility and drastically reduces the time to detect threats.\nIn this instructor-led, hands-on workshop, learn how to quickly build and deploy production-quality conversational AI applications with real-time transcription and natural language processing capabilities using NVIDIA Riva framework.\nJoin the free NVIDIA Developer Program to take a complimentary self-paced course.\nHear how modern machine learning techniques have become a key tool for financial and credit analysis at Capital One.\nLearn how top players in the banking world are using AI, how their efforts have been impacted by the pandemic, and who should be doing what to further the use of this technology.\nHear about all things fintech, the importance of data scientists in communication, and where to draw the line between AI and humans.\nExplore the latest trends for leveraging intelligent technology and explainable AI in fintech and the NVIDIA products and services supporting the industry.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nLearn how financial institutions and firms are using AI to optimize processes, reduce risk, and trim costs.\nWealthsimple\nWealthsimple turned to NVIDIA\u2019s AI inference platform to accelerate time to market for their machine learning models\u2014used to deliver white-glove experiences to wealth management clients.\nAmerican Express is implementing a real-time fraud detection system with NVIDIA technology that operates within a two-millisecond latency requirement and delivers:\nDrivers can get auto repair estimates in seconds instead of days with AI-driven insurance applications from CCC Intelligent Solutions with an assist from NVIDIA DGX\u2122 Cloud and Base Command\u2122 Platform.\nTalkmap is a revolutionary conversational intelligence and automation platform that a world-leading fintech company used to automate their large data science team\u2019s two-year effort, delivering:\nAI, ML, and data will be a game changer in banking, and our partnership with NVIDIA is further evidence that we are committed to redefining what is possible for our clients.\n\u2014 Christian Sewing, CEO, Deutsche Bank\nFor our production environment, speed is extremely important with decisions made in a matter of milliseconds, so the best solution to use are NVIDIA GPUs.\n\u2014 Dmitriy Efimov, Vice President of Machine Learning, American Express\nUsing NVIDIA GPU-powered image analysis and AI, we can identify damages, automate claims handling for simple and clean cases, estimate costs and identify fraudulent claims.\n\u2014 Ping An (China\u2019s Largest P&C Insurer)\nAs more companies adopt conversational AI, empathy plays a larger role in the customer experience \u2013 and, ultimately, growth factors like profitability, customer retention and brand equity.\n\u2014 Helen Yu, Global Influencer and Podcast Host\nNVIDIA GPU-accelerated computing makes it possible to use AI processing to accelerate payments, invoicing, and trade collaboration between businesses and offer a seamless user experience that\u2019s at the same time secure.\n\u2014 Efi Pylarinou, Global Fintech Influencer\nFactories for complex data processing, AI, simulation, and visualization help the industry build resilient, sustainable, and profitable investment products/services in a customized, transparent, and explainable way.\n\u2014 CFA Institute, Handbook of Artificial Intelligence and Big Data Applications in Investments\nEven though the banking industry in general has been trying to get to the cloud, we see a great need in being able to do experiments on premises, and for that, we have a few DGX servers and they\u2019ve been a great help in this journey toward a center of excellence.\n\u2014 Soumitri Kolavennu, SVP and Head of AI Research, U.S. Bank\nBNY Mellon has announced that they\u2019re the first major bank to deploy an NVIDIA DGX SuperPOD\u2122 with DGX H100 systems.\nJoin us at Money20/20 Europe, June 4\u20136. Hear from leaders in banking and payments as we host sessions, fireside chats, demos, and networking events with our partners.\nExplore NVIDIA's cutting-edge AI accelerated computing platform. Revolutionize customer experiences with NVIDIA NIM microservices, which enable efficient, scalable AI deployment for solutions in financial services.\nNVIDIA RAPIDS can accelerate data science pipelines up to 4X faster at less cost with no code change. Financial institutions can reduce false positives in transaction fraud detection and enhance identity verification for anti-money laundering, improving both the customer experience and the institution\u2019s financial health with NVIDIA\u2019s AI platform.\nThe NVIDIA HPC SDK allows for improved accuracy of risk assessments, accelerated time to market, and increased revenue. Faster processing results in smarter trading strategies and more successful trade execution.\nNVIDIA NIM, part of NVIDIA AI Enterprise, accelerates the deployment of generative AI, allowing organizations to train LLMs and seamlessly run AI inference at scale.\nWith NVIDIA\u2019s AI platform, financial institutions can harness the power of generative AI and HPC to learn from vast amounts of data and respond quickly to market fluctuations.\nAI-led applications are critical to the modernization and success of customer service chatbots for call center environments, offering an opportunity to improve customer satisfaction and reduce costs. Financial institutions can build and deploy generative AI models with NVIDIA NeMo\u2122 and develop custom speech applications with NVIDIA\u00ae Riva to communicate with customers effectively.\nOur solutions for the Financial Services industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products and services.\nOur experts can help your business unlock potential and unleash innovation.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/studio/laptops-desktops/#nav-lvl1-tab1-lvl2-tab2": "NVIDIA Studio Laptops and Desktops The Ultimate Creative Tools for Accelerating Your Ideas Watch Video",
    "https://www.nvidia.com/en-us/industries/finance/#nav-lvl1-tab2": "Accelerate financial services with AI.\nMassive datasets. Perpetual market fluctuations. Customer inquiries. Intelligent technology can address critical challenges within the modern financial services industry. With NVIDIA\u2019s AI solutions\u2014for generative AI, large language models (LLMs), data analytics, and more\u2014institutions can optimize trading, detect transaction fraud, and enhance customer experiences.\nDive into the data compiled from a survey of over 400 financial services professionals from around the world. Discover the trends, challenges, and opportunities that will define the state of AI in financial services in 2024.\nImprove your team\u2019s fraud detection and risk assessment workloads with NVIDIA RAPIDS\u2122 Accelerated Apache Spark.\nHarness accelerated computing for trading.\nFaster processing results in smarter trading strategies, more successful trade execution, and increased revenue so firms can remain competitive.\nIntelligent document processing with generative AI lets financial institutions gather insights from unstructured data, enabling faster decision-making and reducing the risk of financial losses.\nWith the NVIDIA AI platform, firms can learn from vast amounts of data and respond quickly to market fluctuations.\nEnhance customer service with generative AI.\nAs the global service economy grows, banks are relying increasingly on contact centers to drive better customer experiences and operational efficiency.\nBanks can enhance customer interactions with generative AI-powered chatbots. Using retrieval-augmented generation (RAG), these chatbots can deliver more accurate, personalized, and sophisticated responses than traditional chatbot solutions.\nPrevent fraud with end-to-end data science.\nFinancial institutions need to detect and prevent fraudulent activities, including identity theft, account takeover, and money laundering. AI-enabled applications can reduce false positives in transaction fraud detection, enhance identity verification accuracy for know-your-customer (KYC) requirements, and boost the effectiveness of anti-money laundering (AML) efforts.\nThe NVIDIA RAPIDS Accelerator for Apache Spark accelerates processing time up to 5X or more and allows the same work to be completed with 4X less infrastructure cost.\nFeatured\nExplore how financial institutions can boost risk management, improve security, reduce fraud, and enhance customer experiences with AI.\nWebinars\nLearn how to build and execute end-to-end GPU-accelerated data science workflows that lets you quickly explore, iterate, and get your work into production in this self-paced lab. Using the RAPIDS accelerated data science libraries, you'll learn how to apply a wide variety of GPU-accelerated machine learning algorithms to perform data analysis at scale.\nIn this free, self-paced course, get hands-on experience developing and deploying the NVIDIA Morpheus digital fingerprinting AI workflow, which enables 100 percent data visibility and drastically reduces the time to detect threats.\nIn this instructor-led, hands-on workshop, learn how to quickly build and deploy production-quality conversational AI applications with real-time transcription and natural language processing capabilities using NVIDIA Riva framework.\nJoin the free NVIDIA Developer Program to take a complimentary self-paced course.\nHear how modern machine learning techniques have become a key tool for financial and credit analysis at Capital One.\nLearn how top players in the banking world are using AI, how their efforts have been impacted by the pandemic, and who should be doing what to further the use of this technology.\nHear about all things fintech, the importance of data scientists in communication, and where to draw the line between AI and humans.\nExplore the latest trends for leveraging intelligent technology and explainable AI in fintech and the NVIDIA products and services supporting the industry.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nLearn how financial institutions and firms are using AI to optimize processes, reduce risk, and trim costs.\nWealthsimple\nWealthsimple turned to NVIDIA\u2019s AI inference platform to accelerate time to market for their machine learning models\u2014used to deliver white-glove experiences to wealth management clients.\nAmerican Express is implementing a real-time fraud detection system with NVIDIA technology that operates within a two-millisecond latency requirement and delivers:\nDrivers can get auto repair estimates in seconds instead of days with AI-driven insurance applications from CCC Intelligent Solutions with an assist from NVIDIA DGX\u2122 Cloud and Base Command\u2122 Platform.\nTalkmap is a revolutionary conversational intelligence and automation platform that a world-leading fintech company used to automate their large data science team\u2019s two-year effort, delivering:\nAI, ML, and data will be a game changer in banking, and our partnership with NVIDIA is further evidence that we are committed to redefining what is possible for our clients.\n\u2014 Christian Sewing, CEO, Deutsche Bank\nFor our production environment, speed is extremely important with decisions made in a matter of milliseconds, so the best solution to use are NVIDIA GPUs.\n\u2014 Dmitriy Efimov, Vice President of Machine Learning, American Express\nUsing NVIDIA GPU-powered image analysis and AI, we can identify damages, automate claims handling for simple and clean cases, estimate costs and identify fraudulent claims.\n\u2014 Ping An (China\u2019s Largest P&C Insurer)\nAs more companies adopt conversational AI, empathy plays a larger role in the customer experience \u2013 and, ultimately, growth factors like profitability, customer retention and brand equity.\n\u2014 Helen Yu, Global Influencer and Podcast Host\nNVIDIA GPU-accelerated computing makes it possible to use AI processing to accelerate payments, invoicing, and trade collaboration between businesses and offer a seamless user experience that\u2019s at the same time secure.\n\u2014 Efi Pylarinou, Global Fintech Influencer\nFactories for complex data processing, AI, simulation, and visualization help the industry build resilient, sustainable, and profitable investment products/services in a customized, transparent, and explainable way.\n\u2014 CFA Institute, Handbook of Artificial Intelligence and Big Data Applications in Investments\nEven though the banking industry in general has been trying to get to the cloud, we see a great need in being able to do experiments on premises, and for that, we have a few DGX servers and they\u2019ve been a great help in this journey toward a center of excellence.\n\u2014 Soumitri Kolavennu, SVP and Head of AI Research, U.S. Bank\nBNY Mellon has announced that they\u2019re the first major bank to deploy an NVIDIA DGX SuperPOD\u2122 with DGX H100 systems.\nJoin us at Money20/20 Europe, June 4\u20136. Hear from leaders in banking and payments as we host sessions, fireside chats, demos, and networking events with our partners.\nExplore NVIDIA's cutting-edge AI accelerated computing platform. Revolutionize customer experiences with NVIDIA NIM microservices, which enable efficient, scalable AI deployment for solutions in financial services.\nNVIDIA RAPIDS can accelerate data science pipelines up to 4X faster at less cost with no code change. Financial institutions can reduce false positives in transaction fraud detection and enhance identity verification for anti-money laundering, improving both the customer experience and the institution\u2019s financial health with NVIDIA\u2019s AI platform.\nThe NVIDIA HPC SDK allows for improved accuracy of risk assessments, accelerated time to market, and increased revenue. Faster processing results in smarter trading strategies and more successful trade execution.\nNVIDIA NIM, part of NVIDIA AI Enterprise, accelerates the deployment of generative AI, allowing organizations to train LLMs and seamlessly run AI inference at scale.\nWith NVIDIA\u2019s AI platform, financial institutions can harness the power of generative AI and HPC to learn from vast amounts of data and respond quickly to market fluctuations.\nAI-led applications are critical to the modernization and success of customer service chatbots for call center environments, offering an opportunity to improve customer satisfaction and reduce costs. Financial institutions can build and deploy generative AI models with NVIDIA NeMo\u2122 and develop custom speech applications with NVIDIA\u00ae Riva to communicate with customers effectively.\nOur solutions for the Financial Services industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products and services.\nOur experts can help your business unlock potential and unleash innovation.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce/laptops/#page-content": "NVIDIA GeForce RTX\u2122 40 Series laptops supercharge studies for STEM students. Powerful NVIDIA GPUs accelerate the top student applications in engineering, architecture, computer science, data science, economics, and more. With GeForce RTX, students can get out of the computer lab and work from anywhere, finish coursework faster, and study, create and play, all on the same laptop",
    "https://www.nvidia.com/en-us/design-visualization/solutions/quadro-vr/#nav-lvl1-tab4-lvl2-tab2": "As real as it gets.\nExtended reality (XR) is revolutionizing professional workflows with technology that makes it possible to work at scale. Holding virtual models in your hands, walking through entire virtual buildings, rehearsing complex surgical procedures in virtual environments, \u2014 XR is completely changing how people experience the workplace.\nNVIDIA's XR platform \u2014 which includes NVIDIA VR Ready GPUs, groundbreaking XR tools, and development software \u2014 drives the world's greatest VR experiences.\nNVIDIA's VR platform \u2013 which includes NVIDIA Quadro\u2122 VR Ready GPUs, software, and VRWorks\u2122 SDKs \u2013 drives the world's greatest VR experiences.\nNVIDIA CloudXR\u2122, a groundbreaking innovation built on NVIDIA RTX\u2122 technology, delivers VR and AR across 5G and Wi-Fi networks.\nNVIDIA VRWorks\u2122 enables a new level of presence by bringing physically realistic visuals, sound, touch interactions, and simulated environments to virtual reality.\nThe NVIDIA VR Ready program ensures system components \u2013 GPU, CPU, HMD, and drivers \u2013 will provide the best immersive virtual reality experiences.\nNVIDIA Omniverse Create is an app that accelerates advanced scene composition and allows users to interact with their assembled scenes.\nNVIDIA VCR enables developers and users to accurately capture and replay VR sessions for performance testing, scene troubleshooting, and more.\nFrom foveated displays to collaboration platforms for virtual worlds, explore the latest in virtual and augmented reality and how it can be integrated into your workflows.\nFactory 42 combined captivating storytelling with cutting-edge technology to elevate the AR experience and deliver high-fidelity, photorealistic virtual environments over 5G networks using NVIDIA RTX and CloudXR.\nNVIDIA Virtual Reality Capture and Replay (VCR) enables developers and users to accurately capture and replay VR sessions for performance testing, scene troubleshooting, and more. Now available for early access users.\nStreaming XR is changing the model of distributing immersive applications. Learn how servers are built to deliver immersive workloads and take advantage of compute power to combine XR applications with AI and other computing functions.\nExtended reality, or XR, is a collective term that refers to immersive technologies, including virtual reality, augmented reality, and mixed reality. Learn more about what this means for our world today.\nNVIDIA CloudXR users harness the full power and visual richness delivered by NVIDIA\u2019s RTX GPUs while enjoying the freedom and mobility of untethered AR and VR devices.\nVolvo brings new levels of collaboration to design reviews by streaming ESI Group\u2019s IC.IDO using NVIDIA CloudXR.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/industries/media-entertainment/#use-cases": "AI-Enabled Content Creation, Distribution, and Consumption\nNew technologies are transforming the media and entertainment industry\u2014 AI-accelerated production pipelines deliver higher-quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.\nFor decades, NVIDIA has helped create and deliver award-winning content, and now it\u2019s redefining the future of M&E with state-of-the-art AI, hardware, software platforms, and networking solutions.\nHear from innovators and creators who are using NVIDIA GPUs to deliver captivating cinematic experiences. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX\u2122 All Stars.\nDiscover the power of AI, generative AI, virtual production, cloud-based workflows, and immersive graphics revolutionizing content creation, delivery, and consumption.\nAccelerate production pipelines with AI and real-time technologies.\nThe world's top film and television studios use NVIDIA technologies to power the most advanced, visually rich feature films and TV shows ever made. Discover how NVIDIA AI, RTX graphics, and state-of-the-art hardware and software platforms help make box office record-breakers, hit TV shows, and Academy Award-winning pictures possible.\nSolutions for immersive real-time graphics, IP video, and AI.\nNVIDIA technologies are helping broadcasters revolutionize how content is created, managed, distributed, and consumed. The latest enterprise-class NVIDIA GPUs, combined with NVIDIA networking technologies, enable all-new workflows for live broadcast. Gain new creative capabilities and deliver incredible viewer experiences with AI solutions and next-generation infrastructure.\nBuild brands, engage customers, and deliver insights with AI.\nConsumer behaviors are changing rapidly with the proliferation of high-performance connected devices. Agencies and corporate in-house creative teams must innovate with dynamic, experiential, and branded content that captivates and engages audiences in new ways. With NVIDIA GPUs, real-time technologies, and artificial intelligence, advertisers and brand leaders can create immersive real-time experiences while gaining much deeper consumer insights across all platforms.\nReal-time graphics, AI, virtualization, and data analytics solutions.\nNVIDIA RTX enables gaming companies to create breathtaking, interactive worlds with performance that exceeds gamers\u2019 expectations. Increasingly, game developers are making full use of virtualized production pipelines, integrating real-time ray tracing, and leveraging AI for deeper customer insights.\nLearn from global leaders in media and entertainment about the impact of real-time graphics, AI, and high-performance networking.\nCourtesy of Sony Pictures Animation\nSony Pictures Animation developed FlixiVerse, an app built on Omniverse Enterprise, allowing 2D artists to accelerate creative workflows with more iterations and easier transitions into 3D environments. See how they leveraged OpenUSD and Nucleus\u2019 auto-updating capabilities to give their artists greater control in pre-production.\nHear from innovators and creators across the M&E industry who are using RTX solutions to deliver captivating cinematic experiences in film and television. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX All Stars.\nRegistration Required\nImage courtesy of WPP\nThe world\u2019s largest marketing services organization is the first to launch automotive marketing services on Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nImage courtesy of V\u016b\nFrom powering LED Volumes and artist workstations to enabling AI and Generative AI workflows, the NVIDIA RTX\u2122 5000 Ada Generation GPU gives V\u016b the power and reliability to unleash the full potential of creative content.\nImage courtesy of V\u016b\nBroadcasters can automatically generate videos with text and develop lifelike virtual humans with Hour One\u2019s solutions, powered by NVIDIA Technologies.\nThe sheer power provided by the new RTX 6000 Ada GPUs has had a massive impact on how we interact with Neural Radiance Fields\u2026 What NVIDIA and HP have done not only makes existing graphically demanding tasks even faster, but it also unlocks a new chapter in real-time workflows that was simply not possible until now.\n\u2014 Landis Fields, Real-Time Principal Creative, Industrial Light & Magic\nThe NVIDIA RTX 6000 Ada Generation GPU is one step ahead of our evolving real-time pipeline for live-action filmmakers. It's adding efficiency, ease, and, more importantly, creative power directly to filmmakers.\n\u2014 Rapha\u00ebl Goudin, Virtual Production Supervisor, Versatile Media Ltd.\nNVIDIA continues to deliver solutions that light the path forward for an industry in transition, easing the adoption of the latest standards, and bringing flexibility and scalability to the broadcast market.\nNew Omniverse platform updates, connections to Adobe Firefly, and Ada-Generation systems to accelerate interoperable 3D workflows and industrial digitalization.\n20th Century Studios\nThe Academy Award nominations are in\u2014and for the 15th year in a row\u2014NVIDIA technologies worked behind the scenes of every film nominated for Best Visual Effects.\nExplore a hub of SDKs, resources, and news for developers working in the Media and Entertainment industry.\nFeatured\nSee how NVIDIA and our partners are helping the industry accelerate their production pipelines, deliver higher quality content, enhance live entertainment, and optimize distribution and monetization.\nVideos\nDevelop custom 3D pipelines and simulate large-scale, physically accurate virtual worlds with NVIDIA Omniverse Enterprise.\nStreamline building a state-of-the-art session-based recommender pipeline with this new free hands-on lab.\nThis session will walk you through what Universal Scene Description (USD) is, how assets are constructed with it, and why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nHelp us inspire the next generation by joining the NVIDIA Partner Network (NPN).\nOur experts can help your business unlock its potential.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/on-demand/search/?q=-&sort=relevance&headerText=All%20Sessions&expandFilter=true": "Artificial Intelligence Computing Leadership from NVIDIA\nMy Account\nLog In\nLog Out\nEN\nEN\n\u7b80\u4e2d\n\u65e5\u672c\u8a9e\n\ud55c\uad6d\uc5b4\n\u7e41\u4e2d\nNVIDIA On-Demand\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nThis site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. Here are the\ninstructions how to enable JavaScript in your web browser.\nCompany Information\nAbout Us\nCompany Overview\nInvestors\nVenture Capital (NVentures)\nNVIDIA Foundation\nResearch\nCorporate Sustainability\nTechnologies\nCareers\nNews and Events\nNewsroom\nCompany Blog\nTechnical Blog\nWebinars\nStay Informed\nEvents Calendar\nGTC AI Conference\nNVIDIA On-Demand\nPopular Links\nDevelopers\nPartners\nExecutive Insights\nStartups and VCs\nDocumentation\nTechnical Training\nTraining for IT Professionals\nProfessional Services for Data Science\nFollow NVIDIA\nFacebook\nInstagram\nLinkedIn\nTwitter\nYouTube\nNVIDIA\nUnited States\nPrivacy Policy\nManage My Privacy\nDo Not Sell or Share My Data\nTerms of Service\nAccessibility\nCorporate Policies\nProduct Security\nContact\nCopyright \u00a9 2024 NVIDIA Corporation",
    "https://www.nvidia.com/en-us/networking/interconnect/#ethernet": "800 gigabits per second (Gb/s) and 400Gb/s cables and transceivers are used for linking Quantum-2 InfiniBand and Spectrum-4 SN5600 Ethernet switches together and with ConnectX-7 network adapters, BlueField-3 DPUs, and NVIDIA DGX\u2122 H100 GPU systems. The product line consists of direct-attach cables (DAC) reaching up to 3 meters (m), linear active copper cables from 3m to 5m, multimode optics to 50m, and single-mode optics to 100m, 500m, and 2 kilometers (km). Switches only use twin-port octal small form factor pluggable (OSFP) connectors. ConnectX-7 uses both OSFP and QSFP112, and BlueField-3 uses QSFP112 only.",
    "https://www.nvidia.com/en-us/research/news/": "VentureBeat: Using AI to Clean Up Messy Photos \"By training Noise2Noise with only noise, researchers hope the method can be used on images known to contain high amounts of noise, such as astrophotography\" Read More >",
    "https://www.nvidia.com/en-us/geforce-now/#nav-lvl1-tab4-lvl2-tab3": "Your fast pass to 24 hours of GeForce RTX-powered cloud gaming. Experience all premium member benefits, no membership required.\nGeForce NOW connects to digital PC game stores so you can stream the games you already own. Plus, game purchases you make on your personal store accounts will always stay with you.\nGeForce NOW instantly transforms your laptop, desktop, Mac, TV, Android device, iPhone, or iPad into the powerful PC gaming rig you\u2019ve always dreamed of.\nOur premium membership plans offer you fastest access to the highest performance GeForce RTX rigs for a high-resolution, ultra-low latency, and competitive experience.\nSay goodbye to large game downloads, updates, and patches. All GeForce NOW games are always up to date, so you can spend less time waiting and more time gaming.\nStream directly from GeForce RTX GPUs.\nExperience incredibly realistic effects.\nJump straight to the front of the queue.\nPlay for hours without interruption.\nShadows, textures, and effects\u2014all maxed.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/self-driving-cars/self-driving-cars-subscribe/self-driving-cars-news-sign-up-form-reference.html?wcmmode=disabled": "This site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. Here are the\ninstructions how to enable JavaScript in your web browser.\nGet the Latest Automotive News\nWelcome back. Not you?\nLog Out\nWelcome back. Not you?\nClear form\nSection\nSection\nenterpriseOptIns hidden field\nSend me the latest enterprise news, announcements, and more from NVIDIA. 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Faso\nBurundi\nCambodia\nCameroon\nCanada\nCape Verde\nCayman Islands\nCentral African Republic\nChad\nChile\nChina\nChristmas Island\nCocos (Keeling) Islands\nColombia\nComoros\nCongo\nCongo, Democratic Republic of the\nCook Islands\nCosta Rica\nCote D'Ivoire\nCroatia\nCuba\nCura\u00e7ao\nCyprus\nCzech Republic\nDenmark\nDjibouti\nDominica\nDominican Republic\nEcuador\nEgypt\nEl Salvador\nEquatorial Guinea\nEritrea\nEstonia\nEswatini\nEthiopia\nFalkland Islands (Malvinas)\nFaroe Islands\nFiji\nFinland\nFrance\nFrench Guiana\nFrench Polynesia\nFrench Southern Territories\nGabon\nGambia\nGeorgia\nGermany\nGhana\nGibraltar\nGreece\nGreenland\nGrenada\nGuadeloupe\nGuam\nGuatemala\nGuernsey\nGuinea\nGuinea-Bissau\nGuyana\nHaiti\nHeard Island and Mcdonald Islands\nHonduras\nHong Kong\nHungary\nIceland\nIndia\nIndonesia\nIran\nIraq\nIreland\nIsle of Man\nIsrael\nItaly\nJamaica\nJapan\nJersey\nJordan\nKazakhstan\nKenya\nKiribati\nKorea Democratic People's Republic of\nKorea Republic of\nKuwait\nKyrgyzstan\nLao People's Democratic Republic\nLatvia\nLebanon\nLesotho\nLiberia\nLibya\nLiechtenstein\nLithuania\nLuxembourg\nMacao\nMadagascar\nMalawi\nMalaysia\nMaldives\nMali\nMalta\nMarshall Islands\nMartinique\nMauritania\nMauritius\nMayotte\nMexico\nMicronesia, Federated States of\nMoldova, Republic of\nMonaco\nMongolia\nMontenegro\nMontserrat\nMorocco\nMozambique\nMyanmar\nNamibia\nNauru\nNepal\nNew Caledonia\nNew Zealand\nNicaragua\nNiger\nNigeria\nNiue\nNorfolk Island\nNorth Macedonia\nNorthern Mariana Islands\nNorway\nOman\nPakistan\nPalau\nPalestine, State of\nPanama\nPapua New Guinea\nParaguay\nPeru\nPhilippines\nPitcairn\nPoland\nPortugal\nPuerto Rico\nQatar\nR\u00e9union\nRomania\nRussian Federation\nRwanda\nSaint Helena\nSaint Kitts and Nevis\nSaint Lucia\nSaint Pierre and Miquelon\nSaint Vincent and the Grenadines\nSaint-Barth\u00e9lemy\nSaint-Martin (French part)\nSamoa\nSan Marino\nSao Tome and Principe\nSaudi Arabia\nSenegal\nSerbia\nSeychelles\nSierra Leone\nSingapore\nSint Maarten\nSlovakia\nSlovenia\nSolomon Islands\nSomalia\nSouth Africa\nSouth Georgia and the South Sandwich Islands\nSouth Sudan\nSpain\nSri Lanka\nSudan\nSuriname\nSvalbard and Jan Mayen\nSweden\nSwitzerland\nSyria\nTaiwan\nTajikistan\nTanzania\nThailand\nThe Netherlands\nTimor-Leste\nTogo\nTokelau\nTonga\nTrinidad and Tobago\nTunisia\nTurkey\nTurkmenistan\nTurks and Caicos Islands\nTuvalu\nUganda\nUkraine\nUnited Arab Emirates\nUnited Kingdom\nUnited States\nUnited States Minor Outlying Islands\nUruguay\nUzbekistan\nVanuatu\nVatican City State\nVenezuela\nViet Nam\nVirgin Islands U.S.\nWallis and Futuna\nWestern Sahara\nYemen\nZambia\nZimbabwe\nPreferred Language\nPreferred Language\nChinese (Simplified)\nChinese (Traditional)\nCzech\nDanish\nDutch\nEnglish (Australia)\nEnglish (GB)\nEnglish (India)\nEnglish (Malaysia)\nEnglish (Philippines)\nEnglish (Singapore)\nEnglish (US)\nFinnish\nFrench\nFrench (Belgium)\nGerman\nGerman (Austria)\nIndonesian\nItalian\nJapanese\nKorean\nNetherlands (Belgium)\nNorwegian\nPolish\nPortuguese (Brazil)\nRussian\nSpanish (Latin America)\nSpanish (Spain)\nSwedish\nThai\nTurkish\nVietnamese\nState/Province\nState/Province\n\u5b89\u5fbd\n\u5317\u4eac\n\u91cd\u5e86\n\u798f\u5efa\n\u5e7f\u4e1c\n\u7518\u8083\n\u5e7f\u897f\n\u8d35\u5dde\n\u6d77\u5357\n\u6e56\u5317\n\u6cb3\u5317\n\u6cb3\u5357\n\u9ed1\u9f99\u6c5f\n\u6e56\u5357\n\u5409\u6797\n\u6c5f\u82cf\n\u6c5f\u897f\n\u8fbd\u5b81\n\u5185\u8499\u53e4\n\u5b81\u590f\n\u9752\u6d77\n\u56db\u5ddd\n\u5c71\u4e1c\n\u4e0a\u6d77\n\u9655\u897f\n\u5c71\u897f\n\u5929\u6d25\n\u65b0\u7586\n\u897f\u85cf\n\u4e91\u5357\n\u6d59\u6c5f\nNVIDIA Privacy Policy\nI agree to the collection and processing of the above information by NVIDIA <span class=\"corporation-txt hidden\">Corporation </span>for the purposes of research and event organization, and I have read and agree to <a href=\"https://www.nvidia.com/en-us/about-nvidia/privacy-policy/?deeplink=visiting-our-website\" target=\"_blank\">NVIDIA Privacy Policy</a>.\nI agree that the above information will be transferred to NVIDIA Corporation in the United States and stored in a manner consistent with <a href=\"https://www.nvidia.com/en-us/about-nvidia/privacy-policy/?deeplink=visiting-our-website\" target=\"_blank\">NVIDIA Privacy Policy</a> due to necessities for research, event organization and corresponding NVIDIA internal management and system operation need. You may contact us by sending an email to <a href=\"mailto:[email protected]\">[email protected]</a> to resolve related problems.\nSubmit",
    "https://www.nvidia.com/en-us/design-visualization/software/quadro-experience/#top": "Take the guesswork out of new driver releases. NVIDIA RTX Experience sends notifications as soon as a new NVIDIA RTX Enterprise driver is available, giving you access to increased performance, improved driver stability, and new features. When you\u2019re ready to update, the simple one-click download and installation from NVIDIA RTX Experience ensures that your driver is updated, optimized, and certified for your favorite applications when you see fit. And if you change your mind on the new driver, you can easily revert to your previous driver version with the driver rollback feature.",
    "https://www.nvidia.com/en-us/design-visualization/quadro-vdws/#Customers": "Powerful Workstation Performance from Anywhere.\nNVIDIA RTX Virtual Workstation (vWS) software combined with our world-leading GPUs are a dynamic force for visual computing, delivering the most powerful virtual workstations from the data center or cloud to any device. Millions of creative and technical professionals can access the most demanding applications from anywhere, with awe-inspiring performance that rivals physical workstations, all while meeting the need for greater security.\nNVIDIA RTX vWS is the only virtual workstation that supports NVIDIA RTX technology, bringing advanced features like ray tracing, AI-denoising, and Deep Learning Super Sampling (DLSS) to a virtual environment. Supporting the latest generation of NVIDIA GPUs unlocks the best performance possible, so designers and engineers can create their best work faster. IT can virtualize any application from the data center with an experience that is indistinguishable from a physical workstation \u2014 enabling workstation performance from any device.\nSimplify real-time graphics workflows and connect users and teams with design tools, assets, and projects for collaborative iteration in a virtual world -- delivered from the data center or cloud with NVIDIA RTX vWS.\nIntegrate augmented reality (AR) and virtual reality (VR) into workflows to improve design reviews, virtual production, location-based entertainment, and more with NVIDIA CloudXR, fully scalable for data center and edge networks with NVIDIA RTX vWS.\nLower IT costs and get more business agility with vGPU Live Migration and Management & Monitoring tools.\nPower the most demanding workloads and dramatically speed performance by aggregating multiple NVIDIA vGPUs.\nIncrease productivity and utilization while decreasing costs leveraging GPU-accelerated compute resources to run mixed workloads.\nKeep end users productive with advanced performance and graphics features along with support for major ISV applications. All files and designs remain in the data center, greatly improving security and manageability.\nNVIDIA RTX Virtual Workstations provide performance that is on par with physical workstations. When selecting a GPU for your virtual workstation deployment consider both performance as well as performance per dollar. As you can see, those looking for the fastest performance, and support for the largest models should select the NVIDIA L40.\nUp to 3.8X Better Graphics Performance with L401\nUp to 1.4X Better Graphics Performance/Dollar with L41\n1 One user per GPU, running on a server configured with 64GB RAM per user. Cost includes GPU HW + 4 years of VGPU SW. SPECviewperf results tested on a server with 2x Xeon Gold 6154 3.0GHz (3.7GHz Turbo), VMware vSphere 7.0 U2, host/guest driver 470.63. NVIDIA RTX vWS 13, SPECviewperf 2020, 4K Geomean\nToyota leads the way in converting design work using high-end CAD to VDI with NVIDIA RTX vWS.\nRead Story >\nPaul Strickland Scanner Centre enables radiologists working remotely to access and report high-resolution patient scans.\nRead Story >\nThe Netherlands Cancer Institute updated their IT infrastructure to expedite research and streamline patient care.\nDNEG enabled access to virtual workstations from anywhere with performance on par with physical workstations.\nExperience RTX vWS with Test Drive, or register for a 90-day free trial. Simplify deployment of RTX vWS with fully tested and certified NVIDIA EGX Platform for Professional Visualization available from an NVIDIA Partner.\nNVIDIA RTX vWS can be accessed in minutes via an NVIDIA Partner Network Cloud Service Provider (CSP) to enable trusted NVIDIA accelerated workstation performance that can be scaled up and down to match business needs.\nVirtual Desktop (VDI) for knowledge workers who use office productivity applications & multimedia.\nApplication streaming with Remote Desktop Session Host (RDSH) solutions.\nFind an NVIDIA partner who sells the NVIDIA vGPU solution.\nAccess the latest NVIDIA vGPU software.\nContact NVIDIA Enterprise Support.",
    "https://www.nvidia.com/en-us/data-center/tesla-product-literature/": "The NVIDIA data center platform is the world\u2019s most adopted accelerated computing solution, deployed by the largest supercomputing centers and enterprises. Whether you're looking to solve business problems in deep learning and AI, HPC, graphics, or virtualization in the data center or at the edge, NVIDIA GPUs provide the ideal solution. Now, you can realize breakthrough performance with fewer, more powerful servers, while driving faster time to insights and reducing costs.\nShare this Content",
    "https://www.nvidia.com/en-us/ai-data-science/generative-ai/nemo-framework/": "Generative AI\nBuild, customize, and deploy generative AI.\nVideo | Solution Brief | For Developers\nNVIDIA NeMo\u2122 is an end-to-end platform for developing custom generative AI\u2014including large language models (LLMs), multimodal, vision, and speech AI \u2014anywhere. Deliver enterprise-ready models with precise data curation, cutting-edge customization, retrieval-augmented generation (RAG), and accelerated performance.\nGet on the fast-track to enterprise transformation with generative AI. This series of on-demand webinars offers a roadmap to accelerated development and deployment, offering the knowledge you need to take full advantage of this breakthrough technology.\nTrain and deploy generative AI anywhere, across clouds, data centers, and the edge.\nDeploy into production with a secure, optimized, full-stack solution that offers support, security, and API stability as part of NVIDIA AI Enterprise.\nQuickly train, customize, and deploy large language models (LLMs), vision, multimodal, and speech AI at scale, reducing time to solution and increasing ROI.\nMaximize throughput and minimize LLM training time with multi-node, multi-GPU training and inference.\nExperience the benefits of a complete solution for the LLM pipeline\u2014from data processing and training to inference of generative AI models.\nAccelerate the adoption of custom generative AI with NVIDIA NeMo microservices. Our advanced custom generative AI platform is now available as a set of microservices, offering a range of benefits to enterprises across industries.\nNeMo Curator\nNVIDIA NeMo Curator is a GPU-accelerated data-curation tool that enables large-scale, high-quality datasets for pretraining LLMs.\nNeMo Customizer\nNVIDIA NeMo Customizer is a high-performance, scalable microservice that simplifies fine-tuning and alignment of LLMs for domain-specific use cases, making it easier to adopt generative AI across industries.\nNeMo Evaluator\nNVIDIA NeMo Evaluator provides automatic assessment of custom generative AI models across academic and custom benchmarks on any platform.\nNeMo Retriever\nNVIDIA NeMo Retriever is a collection of generative AI microservices that enable organizations to seamlessly connect custom models to diverse business data and deliver highly accurate responses.\nNeMo Guardrails\nNVIDIA NeMo Guardrails orchestrates dialog management, ensuring accuracy, appropriateness, and security in smart applications with LLMs. It safeguards organizations overseeing generative AI systems.\nNVIDIA NIM\nNVIDIA NIM, part of NVIDIA AI Enterprise, is an easy-to-use software designed to accelerate deployment of generative AI across clouds, data centers, and workstations.\nExperience, prototype, and deploy AI with production-ready APIs that run anywhere.\nCheck out the latest NVIDIA press releases to see how NeMo and generative AI are impacting diverse industries, partner collaborations, and more.\nEnterprises are turning to generative AI to revolutionize the way they innovate, optimize operations, and build a competitive advantage. NeMo is an end-to-end, cloud-native framework for curating data, training and customizing foundation models, and running inference at scale. It supports text-to-text, text-to-image, and text-to-3D models and image-to-image generation.\nUnlock the power of generative AI with an accelerated computing platform\u2014including full-stack optimizations, an innovative chip architecture, acceleration libraries, and application development frameworks\u2014and hands-on technical training.\nTake advantage of our comprehensive LLM learning path, covering fundamental to advanced topics featuring hands-on training developed and delivered by NVIDIA experts. You can opt for the flexibility of self-paced courses or enroll in instructor-led workshops to earn a certificate of competency.\nShowcase your Generative AI skills and advance your career by getting certified by NVIDIA. Our new professional certification program offers two developer exams focusing on proficiency in large language models (LLMs) and multimodal workflow skills.\nWhether you\u2019re a data scientist looking to build custom models or a chief data officer exploring the potential of LLMs for your organization, read on for valuable insights and guidance.\nLearn what the most pressing challenges are when doing LLM inference. Get a basic understanding of transformer architecture, the attention mechanism in general, and access to practical solutions.\nSee how NVIDIA NeMo helps organizations streamline the development and deployment of custom LLMs, ultimately facilitating seamless integration of AI capabilities within business operations through NVIDIA AI Enterprise.\nExplore the latest tools, optimizations, and best practices for large language models.\nTap into the power of retrieval-augmented generation (RAG) with insights and best practices from visionary CEOs, data scientists, and others.\nLearn how inference for LLMs is driving breakthrough performance for AI-enabled applications and services.\nDropbox plans to leverage NVIDIA\u2019s AI foundry to build custom models and improve AI-powered knowledge work with the Dropbox Dash universal search tool and Dropbox AI.\nUsing NVIDIA NeMo, Writer is building LLMs that are helping hundreds of companies create custom content for enterprise use cases across marketing, training, support, and more.\nAmdocs plans to build custom LLMs for the $1.7 trillion global telecommunications industry using NVIDIA\u2019s AI foundry on Microsoft Azure.\nStay up to date on the latest breakthroughs and developments, and get notified first when new technologies are available.\nJoin the NVIDIA Developer Program to get access to generative AI tools, AI models, training, documentation, expert forums, and more.\nJoin the NVIDIA Inception program to get access to generative AI resources, preferred pricing, and exposure to venture capitalists at all stages.\nGet immediate access to training and inference tools to make generative AI model development easy, cost-effective, and fast.\nDevelop and deploy generative AI solutions that make better use of your data and produce higher-quality business insights with enterprise-ready retrieval-augmented generation (RAG).\nTalk to an NVIDIA product specialist about moving from pilot to production with the assurance of security, API stability, and support that comes with NVIDIA AI Enterprise.\nAI Sweden facilitated regional language model applications by providing easy access to a powerful 100 billion-parameter model. They digitized historical records to develop language models for commercial use.\nAmazon doubles inference speeds for new AI capabilities using NVIDIA TensorRT-LLM and GPUs to help sellers optimize product listings faster.\nAmdocs plans to build custom LLMs for $1.7 trillion global telecommunications industry using NVIDIA AI foundry service on Microsoft Azure.\nAmazon leveraged the NVIDIA NeMo framework, GPUs, and AWS EFAs to train its next-generation LLM, giving some of the largest Amazon Titan foundation models customers a faster, more accessible solution for generative AI.\nGet access to a complete ecosystem of tools, libraries, frameworks, and support services tailored for enterprise environments on Microsoft Azure.\nBria, a startup based in Tel Aviv, is helping businesses who are seeking responsible ways to integrate visual generative AI technology into their enterprise products with a generative AI service that emphasizes model transparency alongside fair attribution and copyright protections.\nWith NVIDIA NIM and optimized models, Cohesity DataProtect customers can add generative AI intelligence to data backups and archives. This allows Cohesity and NVIDIA to bring the power of generative AI to all Cohesity DataProtect customers. Leveraging the power of NIM and NVIDIA optimized models, Cohesity DataProtect customers obtain the power of data-driven insights from their data backups and archives, unleashing new levels of efficiency, innovation, and growth.\nCrowdStrike and NVIDIA are leveraging accelerated computing and generative AI to provide customers with an innovative range of AI-powered solutions tailored to efficiently address security threats.\nDell Technologies and NVIDIA announced an initiative to make it easier for businesses to build and use generative AI models on premises quickly and securely.\nDeloitte will use NVIDIA AI technology and expertise to build high-performing generative AI solutions for enterprise software platforms to help unlock significant business value.\nWith NVIDIA NeMo, data scientists can fine-tune LLMs in Domino\u2019s platform for domain-specific use cases based on proprietary data and IP\u2014without needing to start from scratch.\nDropbox plans to leverage NVIDIA\u2019s AI foundry to build custom models and improve AI-powered knowledge work with Dropbox Dash universal search tool and Dropbox AI.\nAt its Next conference, Google Cloud announced the availability of its A3 instances powered by NVIDIA H100 Tensor Core GPUs. Engineering teams from both companies have collaborated to bring NVIDIA NeMo to the A3 instances for faster training and inference.\nHugging Face, the leading open platform for AI builders, is collaborating with NVIDIA to integrate NeMo Curator and accelerate DataTrove, their data filtering and deduplication library. \u201cWe are excited about the GPU acceleration capabilities of NeMo Curator and can\u2019t wait to see them contributed to DataTrove!\u201d says Jeff Boudier, Product Director at Hugging Face.\nSouth Korea\u2019s leading mobile operator builds billion-parameter LLMs trained with the NVIDIA DGX SuperPOD platform and NeMo framework to power smart speakers and customer call centers.\nSolution to expedite innovation by empowering global partners and customers to develop, train, and deploy AI at scale across industry verticals with utmost safety and efficiency.\nQuantiphi specializes in training and fine-tuning foundation models using the NVIDIA NeMo framework, as well as optimizing deployments at scale with the NVIDIA AI Enterprise software platform, while adhering to responsible AI principles.\nCustomers can harness their business data in cloud solutions from SAP using customized LLMs deployed with NVIDIA AI foundry services and NVIDIA NIM Microservices.\nServiceNow develops custom LLMs on its ServiceNow platform to enable intelligent workflow automation and boost productivity across enterprise IT processes.\nVMware Private AI Foundation with NVIDIA will enable enterprises to customize models and run generative AI applications, including intelligent chatbots, assistants, search, and summarization.\nWeights & Biases helps teams working on generative AI use cases or with LLMs track and visualize all prompt-engineering experiments\u2014helping users debug and optimize LLM pipelines\u2014as well as provides monitoring and observability capabilities for LLMs.\nUsing NVIDIA NeMo, Writer is building LLMs that are helping hundreds of companies create custom content for enterprise use cases across marketing, training, support, and more.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/autonomous-machines/intelligent-video-analytics-platform/": "NVIDIA Metropolis is an application framework, set of developer tools, and partner ecosystem that brings visual data and AI together to improve operational efficiency and safety across a range of industries. It helps make sense of data created by trillions of sensors for some of the world\u2019s most valuable physical transactions. These include frictionless retail, streamlined inventory management, traffic engineering in smart cities, optical inspection on factory floors, patient care in healthcare facilities, and more. Enterprises can take advantage of Metropolis developer tools and ecosystem to create, deploy, and scale AI and IoT applications from the edge to the cloud.",
    "https://www.nvidia.com/en-us/data-center/solutions/mlops/#nav-lvl1-tab4-lvl2-tab7": "The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates data science pipelines and streamlines development and deployment of production AI, including generative AI, computer vision, speech AI, and more. With over 100 frameworks, pretrained models, and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI and deliver enterprise-ready MLOps with enterprise-grade security, reliability, including API stability, and support.",
    "https://www.nvidia.com/en-us/research/ai-playground/#nav-lvl1-tab3": "Try State-of-the-Art Generative AI Models From Your Browser NVIDIA AI Foundation offers an easy-to-use interface to quickly experience generative AI models from your browser without any setup. After you explore the model, you can customize it and take it to production with NVIDIA AI Enterprise. Try AI Foundation Models",
    "https://www.nvidia.com/object/support.html#nav-lvl1-tab1-lvl2-tab1": "NVIDIA\u2019s support services are designed to meet the needs of both the consumer and enterprise customer, with multiple options to help ensure an exceptional customer experience.\nPlease select the appropriate option below to learn more.\nFind support for products such as:\nFind support for enterprise-level products such as:",
    "https://www.nvidia.com/en-us/data-center/base-command/#nav-lvl1-tab4": "The operating system of the NVIDIA DGX data center.\nNVIDIA Base CommandTM powers the NVIDIA DGXTM platform, enabling organizations to leverage the best of NVIDIA AI innovation. With it, every organization can tap the full potential of their DGX infrastructure with a proven platform that includes AI workflow management, enterprise-grade cluster management, libraries that accelerate compute, storage, and network infrastructure, and system software optimized for running AI workloads.\nThe same software that supports NVIDIA\u2019s thousands of in-house developers, researchers, and AI practitioners is now available across the NVIDIA DGX platform, featuring best-of-breed developer software, infrastructure management, and accelerated infrastructure libraries.\nBase Command provides Kubernetes, Slurm, and Jupyter Notebook environments for DGX infrastructure, delivering an easy-to-use, enterprise-proven scheduling and orchestration solution based on well-established enterprise standards.\nNVIDIA Base Command Manager provides full-featured cluster management of DGX systems. Whether it\u2019s initial provisioning, operating system and firmware updates, or real-time monitoring, your DGX cluster is covered. For other NVIDIA-accelerated systems, NVIDIA Base Command Manager Essentials is included as part of NVIDIA AI Enterprise.\nThe complete Base Command software stack is optimized for DGX environments that scale from a single node to large-scale clusters and the cloud, ensuring maximum performance and productivity.\nWith Base Command, DGX infrastructure is paired with the software that brings aspirations within reach. Base Command supports an organization\u2019s AI journey, from their first system all the way to a TOP500-class NVIDIA DGX SuperPODTM.\nThe fastest way to get started using the DGX platform is NVIDIA DGX Cloud, a serverless AI-training-as-a-service platform purpose built for enterprises developing generative AI.\nLearn how Base Command simplifies, optimizes, and accelerates NVIDIA DGX infrastructure.\nNVIDIA Enterprise Services provide support, education, and professional services for your DGX infrastructure. With NVIDIA experts available at every step of your AI journey, Enterprise Services can help you get your projects up and running quickly and successfully.\nNVIDIA Base Command is part of the NVIDIA DGX platform.\nNVIDIA Base Command is available with the purchase of NVIDIA DGX systems.\nInterested in a hands-on experience with NVIDIA software solutions? Apply for a free trial on NVIDIA LaunchPad.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/industrial-sector/cadence/": "NVIDIA and Cadence are collaborating to transform data center design and operations and accelerate drug discovery.\nSee how NVIDIA and Cadence are improving data center performance and energy efficiency and accelerating drug discovery.\nSee how NVIDIA and our ecosystem of partners are bringing up new AI factories faster than ever with NVIDIA Omniverse and AI.\nSee how NVIDIA teams bring up our AI factories faster than ever with Omniverse digital twins and our ecosystem of partners including Cadence, Motivair, Schneider Electric, and Vertiv.\nNVIDIA Omniverse Cloud will be available as APIs, extending the reach of the world\u2019s leading platform for creating industrial digital twins across the entire ecosystem of software makers.\nCadence Systems, which owns OpenEye\u2019s Orion molecular design platform for accelerating drug discovery, is integrating NVIDIA BioNeMo microservices to accelerate drug discovery.\nCadence will use Blackwell-based processors to accelerate their software for designing and simulating electrical, mechanical, and manufacturing systems and parts.\nCadence is adopting new enterprise-grade generative AI microservices to improve data center efficiency and accelerate drug discovery.",
    "https://www.nvidia.com/en-us/geforce/technologies/reflex/#nav-lvl1-tab4": "NVIDIA Reflex, GeForce RTX 40 Series GPUs, and G-SYNC\u00ae monitors deliver the lowest latency and best responsiveness for the ultimate competitive advantage. Built to optimize and measure system latency, Reflex provides faster target acquisition, quicker reaction times, and the best aim precision for competitive games.",
    "https://www.nvidia.com/en-us/events/computex/?nvid=nv-int-cwmfg-627085#savedate": "In addition to the vibrant exhibition and demonstrations, Marc Hamilton, vice president of solutions architecture and engineering at NVIDIA, will take the stage at the TAITRA forum, a key segment of COMPUTEX dedicated to cutting-edge discussions in technology.\nAs part of the 'Let's Talk Generative AI' forum, Hamilton will present his talk titled 'Infra Build Train Go' on June 5, from 10:00 to 10:30 a.m. at the 701 Conference Room, 7F, Taipei Nangang Exhibition Center Hall 2.",
    "https://www.nvidia.com/en-us/industries/telecommunications/ai-factories/#technology": "Protecting data sovereignty with secure AI infrastructure for governments, enterprises, and startups.\nTelecom operators are perfectly positioned to expand their data centers with accelerated computing infrastructure to support sovereign AI models and manufacture intelligence. This new class of data centers, known as AI factories, enhances AI capabilities for local governments, enterprises, and startups. And it allows nations to utilize telecom operators to host their sovereign AI infrastructure for enhanced security, performance, and fine-tuning with local language and cultural standards. NVIDIA is accelerating the development and deployment of AI factories around the world including France, India, Italy, Japan, Singapore, and Switzerland.\nLeading telecom companies Indosat, Singtel, and Telconet are working with NVIDIA to become sovereign \"AI factories\" for governments, enterprises, and startups\u2014enabling them to build and deploy generative AI applications on high-performance, secure infrastructure.\nProvide secure infrastructure for regional AI model development and deployment.\nTelecom operators can use their distributed regional data centers (RDCs) as accelerated computing infrastructure to build, fine-tune, and deploy sovereign AI models. This allows AI models to be aligned with national security interests, reduces inference costs by deploying AI applications to in-region users, and improves energy efficiency of generative AI by using existing compute infrastructure.\nOffer new revenue-generating services at the network edge.\nThe telecoms industry is expanding beyond network connectivity to offer AI-powered applications at the edge. Telcos can leverage the expertise of NVIDIA\u2019s ecosystem of independent software providers to deliver innovative 5G applications, including intelligent video analytics for autonomous shopping, smart traffic monitoring to reduce urban congestion, and immersive 5G extended reality (XR) experiences.\nSingtel and NVIDIA launched a new initiative to provide robust AI infrastructure and cloud services in Singapore and across Asia. This collaboration supports the Singapore government's updated National AI Strategy 2.0 to drive innovation and create new value through AI.\nSwisscom and NVIDIA will build full-stack generative AI supercomputers to establish a trusted AI factory for Swiss customers. Swisscom's secure, high-performance infrastructure enables government, enterprises, and startups to build, host, and deploy sovereign AI.\nNVIDIA is working with Scaleway, a subsidiary of French telecommunications provider iliad Group, to expand access to sovereign accelerated computing in the EU, enabling companies to deploy AI applications and scale up faster.\nNVIDIA and the Tata Group are collaborating to deliver AI computing infrastructure and platforms for developing AI solutions. The collaboration will bring advanced AI capabilities within reach of thousands of organizations, businesses, and AI researchers and hundreds of startups in India.\nNVIDIA and Reliance Industries announced a collaboration to develop India\u2019s own foundation large language model trained on the nation\u2019s diverse languages and tailored for generative AI applications to serve the world\u2019s most populous nation.\nIf telcos start converting network exchanges into compute locations\u2014colocating GPUs and compute at the exchanges\u2014that becomes a goldmine for telcos to enable latency-sensitive AI use cases, such as large language models\u2026 Telcos, with their ownership of server networks and fixed networks, can ensure secure transit of data from one source to the other destination. This plays a critical role in governments adopting AI applications at country scale.\n\u2014 Manoj Prasanna Kumar, Head \u2013 Enterprise Platforms, Singapore Telecommunications Limited (Singtel)\nEveryone talks about generative AI, but the gap between expectations and reality is tremendous. A customer must be sure what happens with its data, where it happens, and how it happens. Switzerland, with its many multinational organizations, needs trusted and unique sovereign building blocks for AI. That\u2019s where we step in. We\u2019re developing it together in a reliable and secure manner, with a distinct Swiss flavor, hand in hand with our collaborator partner, NVIDIA.\n\u2014 Christoph Aeschlimann, CEO, Swisscom\nAt Jio, we\u2019re committed to fueling India\u2019s technology renaissance by democratizing access to cutting-edge technologies, and our collaboration with NVIDIA is a significant step in this direction. Together, we will develop a state-of-the-art AI cloud infrastructure that\u2019s secure, sustainable, and deeply relevant across India, accelerating the nation\u2019s journey toward becoming an AI powerhouse.\n\u2014 Mukesh Ambani, Chairman and Managing Director, Reliance Industries\nOur collaboration with NVIDIA will help our infrastructure achieve a significantly higher performance with the utilization of AI, including optimization of the RAN. We expect it can also help us reduce energy consumption and create a network of interconnected data centers that can be used to share resources and host a range of generative AI applications.\n\u2014 Junichi Miyakawa, President and CEO, SoftBank Corp.\nLearn about accelerated computing systems, a full-stack AI platform, and the NVIDIA Partner Network.\nNVIDIA accelerated computing offers systems that address different AI factory provider\u2019s needs. NVIDIA DGX SuperPOD\u2122 is a turnkey NVIDIA solution for enterprises that want to adopt AI quickly and develop internal use cases. NVIDIA HGX\u2122 and NVIDIA GH200 Grace Hopper Superchip systems enable service providers, including telecom operators, to build large multi-tenant AI factory infrastructure with NVIDIA-certified OEMs, ODMs, and partners.\nThe NVIDIA AI platform powers end-to-end AI workflows, from the data science pipeline to development and deployment of production generative AI. NVIDIA NeMo\u2122 lets developers build custom large language models (LLMs) from scratch. NVIDIA AI Foundation models enable AI cloud services to quickly customize generative AI. NVIDIA LaunchPad offers hands-on labs to get AI practitioners and IT teams quickly started. And NGC\u2122 provides a catalog of GPU-accelerated models and SDKs to infuse AI into applications. NVIDIA AI Factory partners can use this AI platform to create additional services.\nThe NPN ecosystem is composed of NVIDIA experts who have the knowledge and skills that can help customers solve their most challenging problems and accelerate their business with NVIDIA solutions. The NPN is structured around partner types and competencies, making it possible to find the perfect NVIDIA partners to address current business needs and achieve success in today's ever-changing market.\nThe NVIDIA HGX AI supercomputing platform brings together the full power of NVIDIA GPUs, NVIDIA NVLink\u2122, NVIDIA networking, and fully optimized AI and high-performance computing (HPC) software stacks to provide the highest application performance and drive the fastest time to insights. HGX enables telecom operators to build secure, high-performance AI factory infrastructure.\nNVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of generative AI applications. This includes NeMo for building, customizing, and deploying generative AI models anywhere. NeMo consists of training and inferencing frameworks, guardrailing toolkits, data curation tools, and pretrained models, offering enterprises an easy, cost-effective, and fast way to adopt generative AI.\nAs the most advanced platform for generative AI, NVIDIA AI meets enterprise application needs at every layer of the stack--including accelerated computing, essential AI software, pre-trained models, and AI foundries. With NVIDIA AI, enterprises can build, customize, and deploy generative AI models for any application, anywhere.\nJoin our free NVIDIA Developer Program to access the 600+ SDKs, AI models, free training, community forums, tech blogs, and technical resources that can accelerate your work and advance your skills. Build on your existing technical knowledge or learn a new technology by taking advantage of a free self-paced course.\nOur expert-led courses and workshops provide learners with the knowledge and hands-on experience necessary to unlock the full potential of NVIDIA solutions. NVIDIA Training offers customized training plans designed to bridge technical skills gaps and provide relevant, timely, and cost-effective solutions for an organization's growth and development.\nNVIDIA Inception provides startups with access to the latest developer resources, preferred pricing on NVIDIA software and hardware, and exposure to the venture capital community. The program is free and available for tech startups of all stages.\nOur experts can help your business unlock potential and unleash innovation.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4060-4060ti/": "Take your creative projects to the next level with NVIDIA Studio. Powered by new dedicated hardware, RTX 40 Series unlocks unmatched performance in 3D rendering, video editing, and graphic design. Experience feature-rich RTX accelerations in top creative apps, world-class NVIDIA Studio drivers engineered to provide maximum stability, and a suite of exclusive tools that harness the power of RTX for AI-assisted creative workflows.",
    "https://www.nvidia.com/en-us/omniverse/usd/#contribution": "Universal Scene Description (OpenUSD) is more than just a file format. It\u2019s an open and extensible ecosystem for describing, composing, simulating, and collaborating within 3D worlds.\nOriginally invented by Pixar Animation Studio, OpenUSD encompasses a collection of fundamental tools and capabilities that accelerate workflows, teams, and projects, whether you\u2019re creating assets and environments for large-scale, AI-enabled virtual worlds or building the tools that will make these worlds possible.",
    "https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/#nav-lvl1-tab4-lvl2-tab8": "Data analytics and database workflows have traditionally relied on CPUs for compute. Accelerated data science can dramatically boost the performance of end-to-end analytics, speeding up value generation while reducing cost. Databases, including Apache Spark, play critical roles in handling, processing, and analyzing large volumes of data for data analytics.\nBlackwell\u2019s Decompression Engine and ability to access massive amounts of memory in the NVIDIA Grace\u2122 CPU over a high-speed link\u2014900 gigabytes per second (GB/s) of bidirectional bandwidth\u2014accelerate the full pipeline of database queries for the highest performance in data analytics and data science with support for the latest compression formats such as LZ4, Snappy, and Deflate.",
    "https://www.nvidia.com/en-us/design-visualization/workstations/#nav-lvl1-tab4-lvl2-tab5": "NVIDIA RTX and NVIDIA Quadro RTX powered workstations bring the latest in real-time ray tracing, artificial intelligence, and advanced graphics capabilities to millions of design and visualization professionals. And with NVIDIA RTX Virtual Workstation software, professionals can access NVIDIA RTX accelerated workstations from on prem data centers or the cloud for the flexibility to work from anywhere. Get the edge to create revolutionary products, design energy-efficient buildings, and produce groundbreaking visual effects with a workstation that lets you work better, smarter, and faster than ever before.",
    "https://www.nvidia.com/en-us/networking/infiniband-adapters/": "The ConnectX-5 smart host channel adapter (HCA) with intelligent acceleration engines enhances HPC, ML, and data analytics, as well as cloud and storage platforms. With support for two ports of 100Gb/s InfiniBand and Ethernet network connectivity, PCIe Gen3 and Gen4 server connectivity, very high message rates, PCIe switches, and NVMe over Fabrics offloads, ConnectX-5 is a high-performance and cost-effective solution for a wide range of applications and markets.",
    "https://www.nvidia.com/en-us/studio/laptops-desktops/#products": "NVIDIA Studio Laptops and Desktops The Ultimate Creative Tools for Accelerating Your Ideas Watch Video",
    "https://www.nvidia.com/en-us/industries/media-and-entertainment/wpp/#nav-lvl1-tab1": "WPP, the world\u2019s largest marketing communications company, and NVIDIA are collaborating to transform creative and advertising services with generative AI and Omniverse.\nSee how NVIDIA and WPP are transforming advertising production and branded 3D experiences by unifying content creation workflows with NVIDIA OmniverseTM and Universal Scene Description (OpenUSD).\nWPP\u2019s generative AI powered content engine supercharges interactive branded content for marketing and online shopping\nOmniverse Cloud will be available as APIs, extending the reach of the world\u2019s leading platform for creating industrial digital twins across the entire ecosystem of software makers.\nWPP is the first to launch automotive marketing services on NVIDIA Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nWPP is building a content engine harnessing NVIDIA AI and Omniverse to enable creative teams to produce high-quality advertising at scale faster and more efficiently, while remaining fully aligned with a client\u2019s brand.\nDENZA, the luxury EV brand joint venture between BYD and Mercedes-Benz, has collaborated with marketing and communications giant WPP and NVIDIA Omniverse Cloud to build and deploy its next generation of car configurator.\nNVIDIA CEO Jensen Huang discussed AI-enhanced creativity in a conversation with Mark Read, CEO of WPP, at the Cannes Lions Festival.",
    "https://www.nvidia.com/en-us/industries/consumer-internet/": "Today\u2019s consumers have the world at their fingertips. The boom in online users has made the consumer internet industry one of the largest users of machine learning, deep learning, and data science. From recommenders to smart chatbots to AI-enhanced video conferencing, these capabilities rely on fast, intelligent tools and infrastructure. That\u2019s why leading companies are using NVIDIA solutions to harness their wealth of data to pioneer products that shape the online experience.\nDon't miss these three upcoming consumer internet sessions at GTC.\nIn this talk, I will drive you through the Roblox ML Platform inference service. You will learn how we integrate Triton inference service with Kubeflow and Kserve. I will describe how we simplify the deployment for our end users to serve models on both CPU and GPUs.\nEmpowered by GPUs, LinkedIn developed a large graph neural network model to learn users\u2019 professional network information on LinkedIn platform. We use this GNN model in the feed candidate selection and recommendation system to improve the quality of our feed recommendations.\nToday's virtual production (VP) stages surround actors with the light of millions of LEDs, creating real-world image-based lighting in addition to in-camera backgrounds. But these stages often fall short of lighting the actors the same way they would appear if they were actually in the intended environments.\nConference & Training September 19 - 22 | Keynote September 20\nConference & Training September 19 - 22 | Keynote September 20\nIn response to the explosion of different AI models and the resulting network complexity, NVIDIA\u2019s GPU-based SDKs centralize deep learning and machine learning modeling, training, and inference.\nDatasets aren\u2019t just increasing at a massive pace. They\u2019re also evolving into different formats with varying quality, making GPU-accelerated data science platforms critical to tackling modern processing workloads.\nScaling infrastructure monitoring, management, and software deployments can be challenging. With NVIDIA GPUs, engineers can build technical infrastructure and pipelines to support data.\nFrom customized user interfaces to expertly recommended content and automated video production, NVIDIA GPU platforms help elevate the audience experience. Data scientists and engineers can better understand viewer behavior and predict success through GPU-powered, real-time data analysis.\nSocial media platforms allow for personalization and sharing at a large scale. Advanced machine learning serves targeted advertising, job, and product recommendations, suggests people you might like to connect with, and curates specific posts in your feed.\nFrom AI chatbots to smart assistants, NVIDIA GPU platform power natural language processing and conversational AI for a seamless and tailor-made shopping experience. And cybersecurity analysts can use GPU technology to predict and prevent fraudulent online transactions.\nWith the help of GPU-powered AI and robotics, delivery services can leverage algorithms and collect and analyze mapping and geolocation data to provide the most efficient and automated transport.\nVideo conference providers can vastly improve streaming quality and offer enhanced AI features, such as super resolution, gaze correction, and live captions, using a suite of GPU AI-powered tools.\nNVIDIA Riva is a GPU-accelerated application framework for building multimodal conversational AI services that deliver real-time performance. Riva includes pre-trained conversational AI models, tools in the NVIDIA AI Toolkit, and optimized end-to-end services like messaging apps, speech-based assistants, and chatbots for automating communication and creating personalized customer experiences at scale.\nIt combines vision, audio, and other sensory capabilities to power call center assistants and other virtual assistants.\nNVIDIA Merlin is a framework for building high-performance, deep learning-based recommender systems. From personalized media thumbnails to tailored movie and TV show recommendations optimized end-to-end services like messaging apps,, Merlin includes tools that provide better predictions of user preference and behavior than traditional methods to increase engagement rates.\nData science can deliver faster time to business insight, including in areas like consumer behavior and predictive analytics. NVIDIA-accelerated data science, built on NVIDIA\u00ae CUDA-X AI\u2122 and featuring NVIDIA RAPIDS\u2122 data processing and machine learning libraries, provides GPU-accelerated software for data science workflows that maximize productivity, performance, and ROI.\nThe NVIDIA Maxine\u2122 AI platform SDK enables video-conference providers to vastly improve streaming quality in the cloud with super resolution, gaze correction, live captions, and more. In addition to reducing video bandwidth, Maxine\u2019s fully accelerated platform includes innovative capabilities such as face alignment, noise removal, and virtual assistants.\nThe NGC catalog is a registry of GPU-optimized software for AI and HPC applications, pre-trained models, AI application frameworks, and helm charts. The enterprise-ready software from the NGC catalog helps data engineers, data scientists, researchers, developers, DevOps, and system admins shorten time to solution and bring solutions faster to market.\nThe growth of AI-assisted services within the consumer internet industry is impeded by an explosion of complex AI models, increased datasets, and cumbersome deployment and management workflows. These challenges result in slow computing architectures and high costs. NVIDIA DGX\u2122 A100 provides IT directors, data scientists, and data engineers a platform that can unify all AI workloads, simplify infrastructure, and accelerate ROI.\nConsumer internet services are leveraged across the world and on multiple platforms. NVIDIA\u2019s GPU-accelerated solutions are available through all top cloud platforms, empowering companies to scale and access massive computing power on demand and with ease. The NVIDIA T4 Tensor Core GPU speeds up cloud workloads, including high-performance computing, deep learning training and inference, machine learning, data analytics, and graphics. It enables businesses to create new customer experiences that help make services more accessible and scalable.",
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    "https://www.nvidia.com/en-us/studio/laptops-desktops/#nav-lvl1-tab4-lvl2-tab7": "NVIDIA Studio Laptops and Desktops The Ultimate Creative Tools for Accelerating Your Ideas Watch Video",
    "https://www.nvidia.com/en-us/design-visualization/solutions/rendering/#nav-lvl1-tab4-lvl2-tab2": "NVIDIA Omniverse\u2122 is an open platform for virtual collaboration and real-time physically accurate simulation. Creators, designers, and engineers can accelerate their workflows with one-click interoperability between leading software tools in a shared virtual world. Running on NVIDIA RTX\u2122, breathtaking, high-fidelity models can be instantly shared to any device.",
    "https://www.nvidia.com/en-us/geforce/laptops/30-series/": "Dynamic Boost\nuses AI to automatically deliver the optimal power between the GPU, GPU memory, and CPU to boost performance.\nBattery Boost\nfinds the optimal balance of GPU and CPU power usage, battery discharge, image quality, and frame rates for longer battery life.\nRapid Core Scaling\nscales the optimal number of cores and operates them at higher frequencies, delivering more performance for intensive creative work and STEM apps while on-the-go.\nCPU Optimizer\nenables the GPU to optimize the performance, temperature, and power of the CPU.\nWhisperMode\nuses AI-powered algorithms to manage the fan speeds in conjunction with the CPU, GPU, and system temperatures to deliver great acoustics and the best possible performance.\nDLSS\nuses groundbreaking AI rendering to provide a massive performance boost at the same power with maximum image quality.\nAdvanced Optimus\ndelivers long battery life plus the tear free gameplay of G-SYNC.\nResizable BAR\nenables the CPU to access the entire GPU frame buffer at once, improving performance in games.\nOptimal Playable Settings\nfinds the best balance of performance and image quality. Then automatically configures personalized graphics settings based on the PC's GPU, CPU, and display.\nGPU Efficiency\noptimizes the GPU to deliver the best gaming performance while also reducing power.",
    "https://www.nvidia.com/en-us/networking/quantum2/#nav-lvl1-tab1-lvl2-tab1": "NVIDIA Quantum-2, the seventh generation of the NVIDIA InfiniBand architecture, gives AI developers and scientific researchers the fastest networking performance and feature-sets available to take on the world\u2019s most challenging problems. NVIDIA Quantum-2 empowers the world\u2019s leading supercomputing data centers with software-defined networking, In-Network Computing, performance isolation, advanced acceleration engines, remote direct-memory access (RDMA), and the fastest speeds and feeds up to 400Gb/s.",
    "https://www.nvidia.com/en-us/geforce/news/dlss-3-ea-sports-f1-24-dlss-2-capes/?nvid=nv-int-drvr-712013#page-content": "F1\u00ae 24 is available from today, May 28th, for players of the digital-exclusive Champions Edition and EA Play Pro subscribers, with the general release following on May 31st. When GeForce RTX gamers take to the track, they\u2019ll discover day-one support for a massive range of experience-enhancing technology, including DLSS, DLAA and Reflex.\nDLSS enables all GeForce RTX users to accelerate frame rates, while DLAA allows gamers with high-performing systems to use a native resolution image to maximize image quality.\nNVIDIA Reflex is a game-changing technology that reduces system latency on GeForce graphics cards and laptops so your actions occur quicker, giving you a competitive edge in multiplayer races, and making single-player races more responsive and enjoyable.\nAdditionally, GeForce RTX gamers can leverage the power of their GPU\u2019s dedicated Ray Tracing Cores to get the highest possible frame rates when activating F1\u00ae 24\u2019s ray-traced effects. Ray-Traced Reflections enhance the realism and fidelity of cars, glass, water and other suitably reflective surfaces. Ray-Traced Shadows enable every winglet and flourish on an F1\u00ae car to be accurately shadowed and self-shadowed, further heightening realism and immersion. And the new Ray-Traced Dynamic Diffuse Global Illumination setting takes trackside lighting to the next level, and enhances the quality of ray-traced reflections and shadows.\nActivating all three ray-traced effects tests the mettle of any system, but with DLSS you can race with both excellent frame rates and incredible image quality. On GeForce RTX 40 Series desktop graphics cards, enabling DLSS 3 multiples frame rates by an average of 2X at 4K, with every ray-traced effect and other option maxed out. That enables owners of the GeForce RTX 4070, and faster cards, to play F1\u00ae 24 at its very best. And for owners of the fastest cards, they can enjoy super fast, super smooth 120 frames per second-plus racing.",
    "https://www.nvidia.com/en-us/networking/ethernet/connectx-4-lx/#nav-lvl1-tab4-lvl2-tab7": "ConnectX-4 Lx adapter cards enable data centers to leverage leading interconnect adapters to increase their operational efficiency to improve server utilization and maximize application productivity, while reducing total cost of ownership (TCO).\nConnectX-4 Lx provides support for 1, 10, 25, 40, and 50GbE bandwidth, sub-microsecond latency and a 70 million packets per second message rate. It includes native hardware support for RDMA over converged Ethernet, Ethernet stateless offload engines, overlay networks, and NVIDIA GPUDirect\u00ae Technology.",
    "https://www.nvidia.com/en-us/industries/media-and-entertainment/wpp/#nav-lvl1-tab4-lvl2-tab8": "WPP, the world\u2019s largest marketing communications company, and NVIDIA are collaborating to transform creative and advertising services with generative AI and Omniverse.\nSee how NVIDIA and WPP are transforming advertising production and branded 3D experiences by unifying content creation workflows with NVIDIA OmniverseTM and Universal Scene Description (OpenUSD).\nWPP\u2019s generative AI powered content engine supercharges interactive branded content for marketing and online shopping\nOmniverse Cloud will be available as APIs, extending the reach of the world\u2019s leading platform for creating industrial digital twins across the entire ecosystem of software makers.\nWPP is the first to launch automotive marketing services on NVIDIA Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nWPP is building a content engine harnessing NVIDIA AI and Omniverse to enable creative teams to produce high-quality advertising at scale faster and more efficiently, while remaining fully aligned with a client\u2019s brand.\nDENZA, the luxury EV brand joint venture between BYD and Mercedes-Benz, has collaborated with marketing and communications giant WPP and NVIDIA Omniverse Cloud to build and deploy its next generation of car configurator.\nNVIDIA CEO Jensen Huang discussed AI-enhanced creativity in a conversation with Mark Read, CEO of WPP, at the Cannes Lions Festival.",
    "https://www.nvidia.com/en-us/data-center/grace-hopper-superchip/": "The NVIDIA GH200 Grace Hopper Superchip combines the NVIDIA Grace\u2122 and Hopper\u2122 architectures using NVIDIA\u00ae NVLink\u00ae-C2C to deliver a CPU+GPU coherent memory model for accelerated AI and HPC applications. With 900 gigabytes per second (GB/s) of coherent interface, the superchip is 7X faster than PCIe Gen5. And with HBM3 and HBM3e GPU memory, it supercharges accelerated computing and generative AI. GH200 runs all NVIDIA software stacks and platforms, including NVIDIA AI Enterprise, the HPC SDK, and Omniverse\u2122\nThe Dual GH200 Grace Hopper Superchip fully connects two GH200 Superchips with NVLink and delivers up to 3.5x more GPU memory capacity and 3x more bandwidth than H100 in a single server.",
    "https://www.nvidia.com/en-us/on-demand/session/siggraph2021-sigg21-s-02/": "Artificial Intelligence Computing Leadership from NVIDIA\nMy Account\nLog In\nLog Out\nEN\nEN\n\u7b80\u4e2d\n\u65e5\u672c\u8a9e\n\ud55c\uad6d\uc5b4\n\u7e41\u4e2d\nNVIDIA On-Demand\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nFeatured Playlists\nMy Channel\nFAQ\nAdvanced Search\nThis site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. 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You may contact us by sending an email to <a href=\"mailto:[email protected]\">[email protected]</a> to resolve related problems.\nSubmit\nFollow NVIDIA\nFacebook\nInstagram\nLinkedIn\nTwitter\nYouTube\nNVIDIA\nUnited States\nPrivacy Policy\nManage My Privacy\nDo Not Sell or Share My Data\nTerms of Service\nAccessibility\nCorporate Policies\nProduct Security\nContact\nCopyright \u00a9 2024 NVIDIA Corporation",
    "https://www.nvidia.com/en-us/data-center/base-command/manager/": "Cluster Management Software for AI and HPC\nNVIDIA Base Command\u2122 Manager offers fast deployment and end-to-end management for heterogeneous AI and high-performance computing (HPC) clusters at the edge, in the data center, and in multi- and hybrid-cloud environments. It automates provisioning and administration of clusters ranging in size from a couple of nodes to hundreds of thousands, supports NVIDIA GPU-accelerated and other systems, and enables orchestration with Kubernetes.\nNVIDIA Base Command Manager 10 streamlines cluster management across NVIDIA hardware, software, and AI platforms. Base Command Manager is certified as part of NVIDIA AI Enterprise software and is fully integrated across the NVIDIA ecosystem, with support for the NVIDIA DGX\u2122 platform (including DGX systems, DGX BasePOD\u2122, DGX SuperPOD\u2122, and DGX OS), NVIDIA-Certified Systems\u2122, NVIDIA\u00ae BlueField\u00ae DPUs, and NVIDIA Spectrum\u2122 switches with NVIDIA Cumulus\u00ae Linux.\nHigh-performance Linux clusters can be quickly built and managed with NVIDIA Base Command Manager, supporting HPC, machine learning, and analytics applications that span from core to edge to cloud.\nNVIDIA Base Command Manager is ideal for heterogeneous environments, with full support for NVIDIA GPU-accelerated infrastructure, including NVIDIA DGX systems, and Arm\u00ae and x86-based CPU nodes.\nWith thousands of deployments and enterprise support, NVIDIA Base Command Manager is an ideal choice for deploying and managing HPC and AI clusters in production environments.\nBase Command Manager comes with every DGX system. For other systems, Base Command Manager Essentials is included with NVIDIA AI Enterprise.\nGet Support for NVIDIA Base Command Manager\nPlease reach out if you have any questions regarding Bright Cluster Manager features, support, and/or inclusion in NVIDIA\u2019s portfolio of HPC and AI/ML platform solutions.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/energy/#nav-lvl1-tab2": "Deliver a reliable supply of lower-cost fuels and power, while optimizing energy efficiency.\nTo meet global demands, energy companies are turning to a software-defined approach to explore, produce, transport, and deliver lower-cost energy while pursuing net-zero emission goals. They\u2019re leveraging AI and high-performance computing (HPC) to reduce environmental impact from subsurface operations, automate manually intensive surface operations, and bring real-time intelligence to the grid edge.\nLearn how Shell used NVIDIA DGX\u2122 systems to determine salt boundaries in reservoir modeling, enable 4K iterative image reconstruction, test new designs for industrial plants, and drive advancements in sustainable new materials.\nSiemens Gamesa is optimizing their offshore wind farms for maximum power output at minimal cost using NVIDIA Omniverse\u2122 and NVIDIA Modulus. Find out how neural super-resolution accelerates simulation times from 40 days to 15 minutes.\nAccelerate reservoir simulation and seismic processing for fuel production.\nLearn how AI is accelerating reservoir simulation and seismic processing, enhancing pipeline monitoring, and protecting worker health and safety, while reducing emissions and environmental impact.\nBuild industrial and scientific digital twins for sustainability and safety.\nFind out how AI is being used to develop physically accurate industrial digital twins, scale renewable energy generation, simulate climate and weather, speed up computational fluid dynamics (CFD) workloads, and optimize industrial site efficiency.\nEnhance power generation, transmission, and distribution for grid resiliency.\nExplore the future of software-defined smart grids, including predictive maintenance of grid infrastructure, management of distributed energy resources, synthetic data generation of grid assets, outage scheduling, truck roll optimization, and utility contact center virtual assistants.\nLearn from industry leaders using AI to optimize processes, reduce risk, and trim costs.\nImage courtesy of BP.\nSee how BP achieved 35X runtime speedups by porting their production reverse time migration (RTM) code onto NVIDIA HGX\u2122 A100 and leveraging the cuFFT library.\n* Registration required.\nExplore how Chevron utilized NVIDIA IndeX\u00ae, a 3D volumetric interactive visualization SDK, in Microsoft Azure to streamline analysis of core samples\u2014in larger volumes and at higher resolution.\nStone Ridge Technology benchmarked their ECHELON reservoir simulation software on the NVIDIA Hopper GPU architecture, including the NVIDIA Grace Hopper Superchip, H100-NVL, and H100-PCIe. Learn how the company achieved up to 3.8x faster simulations with up to 25-million cell models.\nLearn how global energy companies such as Siemens Energy are building industrial digital twins to support predictive maintenance at power plants and how that could save the energy industry an estimated $1.7 billion a year.\nImage courtesy of Noteworthy AI.\nTake a look at FirstEnergy\u2019s onboard smart camera system\u2014developed by Noteworthy AI and powered by the NVIDIA\u00ae Jetson\u2122 edge AI platform\u2014which automatically monitors millions of utility poles and tens of millions of grid devices for maintenance.\nShell has ongoing work with NVIDIA: more realistic 3D reservoir models (e.g., dipping reservoir) for CO2 storage, layered geology with horizontal and vertical heterogeneity, computationally efficient Fourier neural operator (FNO)-based networks dealing with larger input datasets and providing acceptable predictions over longer time windows (hundreds of years), and the capability to build next-generation digital twin models of deep earth for climate change scenario (CCS) applications in real time with uncertainty assessment.\n\u2014 Pandu Devarakota, Principal Science Expert, Shell\nWe can examine the contribution of AI to the energy sector from three dimensions: energy forecasting, carbon capture, and predictive maintenance... AI algorithms are being used for energy forecasting, to predict energy demand, and to optimize economic value... AI can be used to reduce carbon emissions by analyzing data from multiple sources regarding weather, soil, and crop yield... to optimize our supply chain logistics and reduce our carbon footprint... AI can also help energy companies monitor the performance of their assets and equipment.\n\u2014 Nayef Otaibi, Vice President and Chief Digital Officer, Saudi Aramco\nWe will continue to collect data, not just on how our wind turbines operate, but also for weather forecasting, site planning, and other areas to optimize wind turbine sites. We're exploring augmented reality and extended reality as wind turbines are complicated machines with many types of failure modes. It's imperative to make sure the wind turbines operate safely and service technicians know how to do service repairs in the right way.\n\u2014 Lasse Lundberg Nowack, Vice President, Engineering Development Power Solutions, Vestas\nBy using synthetic data generation in NVIDIA Omniverse, our goal was to automatically create thousands of labeled photorealistic examples of various defects in grid assets. We are in the process of using real images and these synthetic images to train inspection models.\n\u2014 Ankush Agarwal, Director of Advanced Analytics, Exelon\nIn Oregon, we are experiencing the impacts of climate change firsthand and recognize the urgent need for innovation at the grid edge as we transition to a clean energy future. Investing in new technologies for the grid is a key strategy for PGE to achieve its climate goals and provide customers with clean, affordable, and resilient energy.\n\u2014 Ananth Sundaram, Senior Manager of Integrated Grid, Portland General Electric (PGE)\nSystems powered by NVIDIA A100 80GB Tensor Core GPUs demonstrate superb performance uplifts compared to CPU performance running SLB\u2019s INTERSECT high-resolution reservoir simulator.\nLearn how Shearwater achieved 10x speed-up of Reverse Time Migration (RTM) and Kirchhoff algorithms, powered by NVIDIA GPUs, to lower total power consumption for compute-intensive subsurface workloads, improve energy efficiency, and reduce operating costs for oil and gas companies.\nAclara will be the first company to embed Utilidata\u2019s distributed AI platform, Karman, in a smart meter to enable a connected grid that delivers clean and reliable energy. Built on a custom NVIDIA module that leverages AI, Karman captures robust, high-quality data to improve grid operations and manage distributed energy resources.\nUtilidata announced that Portland General Electric will pilot Utilidata\u2019s smart grid chip, a first-of-its-kind distributed AI platform powered by NVIDIA Jetson, in Oregon to support decarbonization goals.\nLearn about the AI and HPC hardware, software, and networking solutions for energy companies.\nThe NVIDIA Grace Hopper\u2122 Superchip is a breakthrough accelerated CPU designed from the ground up for giant-scale AI and HPC applications. The superchip will deliver up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world\u2019s most complex problems.\nThe latest iteration of NVIDIA DGX\u2122 systems and the foundation of NVIDIA DGX SuperPOD\u2122, DGX H100 is the AI powerhouse that\u2019s accelerated by the groundbreaking performance of the NVIDIA H100 Tensor Core GPU.\nNVIDIA DGX Cloud is a multi-node AI-training-as-a-service solution optimized for the unique demands of enterprise AI. It\u2019s a combined software and infrastructure solution for AI training that includes a full-stack developer suite, leadership-class infrastructure, and concierge support, allowing businesses to get started immediately with predictable, all-in-one pricing.\nWith NVIDIA AI Enterprise, energy companies can speed up development of use case applications, such as reservoir simulation, seismic processing, and predictive maintenance. Learn how to get free, short-term access to NVIDIA AI Enterprise in curated labs through NVIDIA LaunchPad.\nThe NVIDIA HPC SDK includes the proven compilers, libraries and software tools essential to maximizing developer productivity and the performance and portability of HPC modeling and simulation applications.\nNVIDIA Modulus is an open-source framework for building, training, and fine-tuning physics-informed machine learning (physics-ML) models with a simple Python interface. With Modulus, you can build models for enterprise-scale digital twin applications across multiple physics domains, from CFD to structural analysis to electromagnetics to climate science.\nNVIDIA Omniverse is an extensible, open platform built for 3D virtual collaboration and real-time physically accurate simulation. Omniverse combined with NVIDIA Modulus, a framework for developing physics machine learning neural network models, enables digital twins for wind farms, power plants, electric grids, and someday Earth itself.\nNVIDIA Jetson brings accelerated AI performance to the edge in a power-efficient and compact form factor. Together with the NVIDIA JetPack\u2122 SDK and NVIDIA Isaac\u2122 software for Robotics Operating System, these Jetson modules, including NVIDIA Jetson Orin Nano\u2122, support a full range of edge AI and robotics applications.\nNVIDIA NeMo\u2122, part of the NVIDIA AI platform, is an end-to-end, cloud-native enterprise framework for building, customizing, and deploying generative AI models with billions of parameters. The NeMo framework provides an accelerated workflow for training with 3D parallelism techniques, several customization techniques, and optimized at-scale inference of large-scale models for language and image applications.\nFeatured\nTo manage renewable energy at scale, NVIDIA and its ecosystem of partners are using AI to optimize solar and wind farms, simulate climate and weather, maintain power grids, advance carbon capture, and power fusion breakthroughs.\nVideos\nWebinars\nGain an understanding of the various building blocks of NVIDIA Modulus, the basics of physics-informed deep learning, and how the framework integrates with the overall Omniverse platform.\nLearn how to use NVIDIA Base Command\u2122 Platform to accelerate your containerized AI training workloads, discover the tools necessary to build an AI center of excellence, and get the basics of working with, modifying, and running Docker containers from NVIDIA NGC\u2122.\nLearn how to use Jupyter iPython notebooks on a Jetson Nano Developer Kit to build a deep learning classification project with computer vision models. This easy-to-use, powerful computer runs multiple neural networks in parallel.\nMeet NVIDIA Inception, the free program designed to help startups evolve faster through access to cutting-edge technology and NVIDIA experts, connections with venture capitalists, and co-marketing support to raise visibility.\nConnect with millions of like-minded developers in the NVIDIA Developer Program to do your life\u2019s work. Gain access to free containers, pretrained models, SDKs, technical documentation, and peer and domain expert help.\nExpand and support your portfolio with NVIDIA\u2019s Venture Capital (VC) Alliance, an initiative between NVIDIA and investors around the world who are focused on startups building cutting-edge technology with AI, data science, and HPC.\nOur solutions for the energy industry go beyond products. 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    "https://www.nvidia.com/en-us/networking/ethernet/connectx-4-lx/#nav-lvl1-tab4-lvl2-tab6": "ConnectX-4 Lx adapter cards enable data centers to leverage leading interconnect adapters to increase their operational efficiency to improve server utilization and maximize application productivity, while reducing total cost of ownership (TCO).\nConnectX-4 Lx provides support for 1, 10, 25, 40, and 50GbE bandwidth, sub-microsecond latency and a 70 million packets per second message rate. It includes native hardware support for RDMA over converged Ethernet, Ethernet stateless offload engines, overlay networks, and NVIDIA GPUDirect\u00ae Technology.",
    "https://www.nvidia.com/en-us/geforce/laptops/compare/": "Check with the laptop manufacturer about support for specific NVIDIA technologies.\n1 - GPU supports as specified in HDMI 2.1a: up to 4K 240Hz or 8K 60Hz with DSC, Gaming VRR, HDR. GPU implementations can vary, check with the laptop manufacturer about HDMI capabilities on specific laptop models.\n2 - DisplayPort 1.4a. Check with the laptop manufacturer about DisplayPort capabilities on specific laptop models.",
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    "https://www.nvidia.com/en-us/design-visualization/software/quadro-experience/#nav-lvl1-tab4-lvl2-tab7": "Take the guesswork out of new driver releases. NVIDIA RTX Experience sends notifications as soon as a new NVIDIA RTX Enterprise driver is available, giving you access to increased performance, improved driver stability, and new features. When you\u2019re ready to update, the simple one-click download and installation from NVIDIA RTX Experience ensures that your driver is updated, optimized, and certified for your favorite applications when you see fit. And if you change your mind on the new driver, you can easily revert to your previous driver version with the driver rollback feature.",
    "https://www.nvidia.com/en-us/self-driving-cars/in-vehicle-computing/#nav-lvl1-tab3": "NVIDIA DriveWorks provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plug-ins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework. It\u2019s modular, open, and designed to be compliant with automotive industry software standards.",
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    "https://www.nvidia.com/en-us/industries/automotive/#nav-lvl1-tab4-lvl2-tab1": "NVIDIA\u2019s automotive solutions offer the performance and scalability to design, visualize, and simulate the future of driving. Create virtual showrooms and car configurators, develop in-vehicle AI assistants, and validate autonomous driving technology\u2014all with NVIDIA AI, Omniverse\u2122, and accelerated computing platforms.\nCome learn from experts how advances in AI and accelerated computing can profoundly impact your industry\u2014from HPC and manufacturing to healthcare, robotics, and beyond. Join us online March 20-23.\nLearn from automakers who are using GPUs and AI to drive the future, today.\nImage Courtesy of BMW Group\nBMW Group and NVIDIA are working together to transform the automotive manufacturing lifecycle by building AI-enabled, simulated digital twins of the BMW factory.\nMercedes is partnering with NVIDIA to bring its next generation of vehicles into the autonomous era, delivering intelligent cockpits redesigned for an AI driver.\nImage Courtesy of Rimac Rimac Automobili\nTry the Rimac Nevera 3D Configurator on NVIDIA Omniverse Cloud and experience a physically accurate, advanced 3D configurator\u2014built on and streamed from NVIDIA Omniverse Cloud.\nStarting in 2025, all-new Jaguar and Land Rover vehicles will be built on the NVIDIA DRIVE software-defined platform\u2014from the cloud with NVIDIA data center solutions to the car with NVIDIA DRIVE Orin\u2122.\nElectric vehicle pioneer NIO is building next-generation software-defined vehicles with AI technology that spans from the cloud to the car.\nNVIDIA\u2019s AI experts approach problems from many angles to find the most optimal solution. Their know-how enabled us to reduce training time from weeks to days, improving accuracy of our models.\n\u2013 Robert Thiel, Manager, Head of Artificial Intelligence, Continental Automotive\nThe complex scenarios faced by mass-produced cars and the massive amount of data these fleets generate are the cornerstones of NIO\u2019s autonomous driving capabilities. By using NVIDIA high-performance compute solutions, NIO can accelerate the path to autonomous driving.\n\u2013 Bai Yuli, Head of AI, NIO\nOur collaboration with NVIDIA allows us to develop the future of factory logistics today.\n\u2013 J\u00fcrgen Maidl, Senior Vice President of Logistics, The BMW Group\nLeading companies across the transportation industry\u2014 including BYD, GAC, Nuro, Plus, WeRide, and XPENG \u2014choose NVIDIA DRIVE\u2122 Thor to power their next-generation vehicles.\nLearn how Foretellix, CARLA, and other simulation developers are using Omniverse Cloud APIs to deliver sensor simulation for AV training, testing, and validation. Continental and Stellantis are also using these APIs to build digital twins and tools to unify workflows.\nAISpeech, Baidu, Cerence, DeepRoute, SenseAuto, SoundHound, Stack, and Wavye are advancing intelligent AI assistants, driver and passenger monitoring, and more using NVIDIA\u2019s edge-to-cloud technology.\nThe automotive industry is being transformed by AI and software-defined vehicles. Hear from industry leaders share their perspectives on how AI is shaping the future of transportation.\nLeading automakers like Lotus are adopting advanced configurator solutions by key creative partners and developers such as BITONE, Configit, Katana, WPP, and Zerolight.\nFeatured\nLearn more about how BMW Group is adopting NVIDIA Omniverse in the official virtual opening on the automaker's new electric vehicle plant.\nGTC On-Demand\nWebinars\nWaabi CEO and founder Raquel Urtasun joins NVIDIA\u2019s Katie Burke Washabaugh to talk about the role simulation technology plays in developing production-level autonomous vehicles.\nLearn how to integrate your sensor of choice for NVIDIA DRIVE.\nIn this course, you\u2019ll be guided through a working example of a custom plug-in for a sensor using the DriveWorks SDK and implement core elements of the plugin.\nLearn how deep learning works through hands-on exercises in computer vision and natural language processing. You\u2019ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You\u2019ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.\nLearn how to quickly build and deploy production quality conversational AI applications with real-time transcription and natural language processing (NLP) capabilities.\nGet access to free SDKs, training, and technical resources to successfully build applications on all NVIDIA technology platforms by joining our Developer Program.\nAccelerate your startup by joining the NVIDIA Inception Program. It provides over 13,000 cutting-edge startups worldwide with critical go-to-market support, technical expertise, training, and introductions to funding opportunities.\nDevelop and master the skills you need in AI, HPC, and the metaverse through the NVIDIA Deep Learning Institute (DLI). Choose from a catalog of over 80 self-paced courses and instructor-led workshops.\nOur experts can help your business unlock new capabilities and take your success to the next level.",
    "https://www.nvidia.com/en-us/industries/consumer-internet/#nav-lvl1-tab3": "Today\u2019s consumers have the world at their fingertips. The boom in online users has made the consumer internet industry one of the largest users of machine learning, deep learning, and data science. From recommenders to smart chatbots to AI-enhanced video conferencing, these capabilities rely on fast, intelligent tools and infrastructure. That\u2019s why leading companies are using NVIDIA solutions to harness their wealth of data to pioneer products that shape the online experience.\nDon't miss these three upcoming consumer internet sessions at GTC.\nIn this talk, I will drive you through the Roblox ML Platform inference service. You will learn how we integrate Triton inference service with Kubeflow and Kserve. I will describe how we simplify the deployment for our end users to serve models on both CPU and GPUs.\nEmpowered by GPUs, LinkedIn developed a large graph neural network model to learn users\u2019 professional network information on LinkedIn platform. We use this GNN model in the feed candidate selection and recommendation system to improve the quality of our feed recommendations.\nToday's virtual production (VP) stages surround actors with the light of millions of LEDs, creating real-world image-based lighting in addition to in-camera backgrounds. But these stages often fall short of lighting the actors the same way they would appear if they were actually in the intended environments.\nConference & Training September 19 - 22 | Keynote September 20\nConference & Training September 19 - 22 | Keynote September 20\nIn response to the explosion of different AI models and the resulting network complexity, NVIDIA\u2019s GPU-based SDKs centralize deep learning and machine learning modeling, training, and inference.\nDatasets aren\u2019t just increasing at a massive pace. They\u2019re also evolving into different formats with varying quality, making GPU-accelerated data science platforms critical to tackling modern processing workloads.\nScaling infrastructure monitoring, management, and software deployments can be challenging. With NVIDIA GPUs, engineers can build technical infrastructure and pipelines to support data.\nFrom customized user interfaces to expertly recommended content and automated video production, NVIDIA GPU platforms help elevate the audience experience. Data scientists and engineers can better understand viewer behavior and predict success through GPU-powered, real-time data analysis.\nSocial media platforms allow for personalization and sharing at a large scale. Advanced machine learning serves targeted advertising, job, and product recommendations, suggests people you might like to connect with, and curates specific posts in your feed.\nFrom AI chatbots to smart assistants, NVIDIA GPU platform power natural language processing and conversational AI for a seamless and tailor-made shopping experience. And cybersecurity analysts can use GPU technology to predict and prevent fraudulent online transactions.\nWith the help of GPU-powered AI and robotics, delivery services can leverage algorithms and collect and analyze mapping and geolocation data to provide the most efficient and automated transport.\nVideo conference providers can vastly improve streaming quality and offer enhanced AI features, such as super resolution, gaze correction, and live captions, using a suite of GPU AI-powered tools.\nNVIDIA Riva is a GPU-accelerated application framework for building multimodal conversational AI services that deliver real-time performance. Riva includes pre-trained conversational AI models, tools in the NVIDIA AI Toolkit, and optimized end-to-end services like messaging apps, speech-based assistants, and chatbots for automating communication and creating personalized customer experiences at scale.\nIt combines vision, audio, and other sensory capabilities to power call center assistants and other virtual assistants.\nNVIDIA Merlin is a framework for building high-performance, deep learning-based recommender systems. From personalized media thumbnails to tailored movie and TV show recommendations optimized end-to-end services like messaging apps,, Merlin includes tools that provide better predictions of user preference and behavior than traditional methods to increase engagement rates.\nData science can deliver faster time to business insight, including in areas like consumer behavior and predictive analytics. NVIDIA-accelerated data science, built on NVIDIA\u00ae CUDA-X AI\u2122 and featuring NVIDIA RAPIDS\u2122 data processing and machine learning libraries, provides GPU-accelerated software for data science workflows that maximize productivity, performance, and ROI.\nThe NVIDIA Maxine\u2122 AI platform SDK enables video-conference providers to vastly improve streaming quality in the cloud with super resolution, gaze correction, live captions, and more. In addition to reducing video bandwidth, Maxine\u2019s fully accelerated platform includes innovative capabilities such as face alignment, noise removal, and virtual assistants.\nThe NGC catalog is a registry of GPU-optimized software for AI and HPC applications, pre-trained models, AI application frameworks, and helm charts. The enterprise-ready software from the NGC catalog helps data engineers, data scientists, researchers, developers, DevOps, and system admins shorten time to solution and bring solutions faster to market.\nThe growth of AI-assisted services within the consumer internet industry is impeded by an explosion of complex AI models, increased datasets, and cumbersome deployment and management workflows. These challenges result in slow computing architectures and high costs. NVIDIA DGX\u2122 A100 provides IT directors, data scientists, and data engineers a platform that can unify all AI workloads, simplify infrastructure, and accelerate ROI.\nConsumer internet services are leveraged across the world and on multiple platforms. NVIDIA\u2019s GPU-accelerated solutions are available through all top cloud platforms, empowering companies to scale and access massive computing power on demand and with ease. The NVIDIA T4 Tensor Core GPU speeds up cloud workloads, including high-performance computing, deep learning training and inference, machine learning, data analytics, and graphics. It enables businesses to create new customer experiences that help make services more accessible and scalable.",
    "https://www.nvidia.com/en-us/industries/energy/oil-gas-operations/#nav-lvl1-tab1-lvl2-tab1": "Accelerate subsurface workloads with AI, high-performance computing (HPC) and visualization.\nOil and gas enterprises are becoming integrated energy companies, using improved processes to better explore, produce, transport, and distribute fuels to consumers around the world. Global initiatives for decarbonization are accelerating the transition from fossil fuels to alternative fuels with a smaller carbon footprint and scaling renewable energy, such as wind, solar, nuclear, hydroelectric, green hydrogen and geothermal.\nLearn how ExxonMobil, Shell, SLB, and Petrobras are using AI and HPC to enhance energy exploration and production, reduce operational emissions, and accelerate carbon capture, utilization, and storage (CCUS) development.\nSee how Stone Ridge Technology accelerated simulations of multi-million-cell deep-water reservoirs, offshore oil fields, and deep-water gas fields with ECHELON 2.0 running on Eni's HPC5 cluster.\nLearn from energy companies using AI to improve energy production and reduce operating costs.\nLearn how Saudi Aramco built an AI assistant to enhance seismic data processing\u2014compiled with NVIDIA\u00ae TensorRT\u2122-LLM, deployed using NVIDIA Triton\u2122 Inference Server, and fine-tuned with NVIDIA NeMo\u2122 Guardrails.\nSaudi Aramco\nLearn how Petrobras built SolverBR\u2014a specialized linear solver powered by the Arm\u00ae-based NVIDIA Grace\u2122 CPU\u2014and achieved up to a 60 percent speedup in reservoir simulations.\nLearn how Shell used NVIDIA DGX systems to determine salt boundaries in reservoir modeling, enable 4K iterative image reconstruction, test new designs for industrial plants, and drive advancements in sustainable new materials.\nShell\nAs the world moves toward a more sustainable future, global leaders in energy are accelerating their key HPC and AI workloads with NVIDIA\u2019s full-stack platform. The result? Some of the most powerful, efficient supercomputers in the industry\u2014including those from Eni, ExxonMobil, Petrobras, Saudi Aramco, Total, and the U.S. Department of Energy\u2014are built on NVIDIA technology and continually rank near the top of the TOP500 and Green500 lists.\nOur collaboration with NVIDIA provides great value because NVIDIA brings expertise in AI and a powerful HPC platform to conduct these studies. Conversely, Shell injects realism and provides the energy experience that provides great value to NVIDIA.\n\u2013 Detlef Hohl, Chief Scientist of Computation and Data Science, Shell\nShell has ongoing work with NVIDIA: more realistic 3D reservoir models (e.g., dipping reservoir) for CO2 storage, layered geology with horizontal and vertical heterogeneity, computationally efficient FNO-based networks dealing larger input datasets and providing acceptable predictions over longer time windows (hundreds of years), and next-generation digital twin models of deep earth for carbon capture and storage (CCS) applications in real time with uncertainty assessment.\n\u2013 Pandu Devarakota, Principal Science Expert, Shell\nIn 2022, over 70 percent of computing resources at BP\u2019s Center for High-Performance Computing were used by reverse time migration (RTM)-related applications. In RTM benchmarking and validation tests, we found that one NVIDIA HGX A100 with no compression achieved up to a 35X peak shot runtime speedup compared to our in-house CLXAP cluster.\n\u2013 Muhong Zhou, Senior HPC Software Developer, BP\nWe can examine the contribution of AI to the energy sector from three dimensions: energy forecasting, carbon capture, and predictive maintenance... AI algorithms are being used for energy forecasting, to predict energy demand, and to optimize economic value... AI can be used to reduce carbon emissions by analyzing data from multiple sources regarding weather, soil, and crop yield... to optimize our supply chain logistics and reduce our carbon footprint... AI can also help energy companies monitor the performance of their assets and equipment.\n\u2013 Nayef Otaibi, Vice President and Chief Digital Officer, Saudi Aramco\nThe exploration and production (E&P) industry generates a vast amount of data, including well logs, seismic data, production data, drilling data, and other sources. Natural language processing (NLP) and large language models (LLMs) have provided the ability to integrate sources with descriptive, diagnostic, prescriptive, and predictive insights that enhance return on investment. In reservoir modeling, NLP and LLMs improve integrating sources from well logs, seismic data, and production data\u2014bringing critical understanding to the subsurface that\u2019s significant to our operations.\n\u2013 Saud Zakwani, Head of Data Science, Petroleum Development Oman\nAI can help in site selection and allocation by studying the physics, geology, and metrology of different locations to optimize solar plants or wind farms and make them more cost-effective and productive. Once facilities are deployed, we can look at AI to balance the grid and identify production capacity predicted from renewable energy. AI can help optimize a large installation of batteries, such as charging and discharging or maintenance issues.\n\u2013 Yehia Khoja, Ministry of Energy, Head of AI and Business Development, Kingdom of Saudi Arabia\nSystems powered by NVIDIA A100 80GB Tensor Core GPUs demonstrate superb performance uplifts compared to CPU performance running SLB\u2019s INTERSECT high-resolution reservoir simulator.\nShearwater GeoServices is optimizing their Reveal seismic processing software for NVIDIA GPUs to help energy companies enhance seismic data and efficiently run compute-intensive imaging algorithms.\nImage courtesy of AWS and MATLAB.\nUnderstand how geoscientists can use shallow deep learning-based algorithms with MATLAB on AWS and AI models to automatically recognize distinct geologic features in seismic images.\nLearn how to develop and deploy AI-based seismic facies classification by leveraging cloud-based HPC resources for faster prototyping and development with large 3D seismic datasets.\nLearn about the AI and HPC hardware and software for oil and gas.\nNVIDIA DGX H100 expands the frontiers of business innovation and optimization. The latest iteration of NVIDIA\u2019s legendary DGX systems and the foundation of NVIDIA DGX SuperPOD\u2122, DGX H100 is the AI powerhouse that\u2019s accelerated by the groundbreaking performance of the NVIDIA H100 Tensor Core GPU.\nNVIDIA DGX SuperPOD is an AI data center infrastructure platform that enables IT to deliver performance without compromise for every user and workload. DGX SuperPOD offers leadership-class accelerated infrastructure and agile, scalable performance for the most challenging AI and HPC workloads, with industry-proven results.\nNVIDIA DGX Cloud is a multi-node AI-training-as-a-service solution optimized for the unique demands of enterprise AI. Access NVIDIA DGX Cloud to experience a combined software and infrastructure solution for AI training that includes a full-stack AI developer suite, leadership-class infrastructure, and concierge support.\nThe NVIDIA Grace\u2122 Hopper\u2122 Superchip is a breakthrough accelerated CPU designed from the ground up for giant-scale AI and HPC applications. The superchip delivers up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world\u2019s most complex problems.\nThe NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries, and software tools essential to maximizing developer productivity and the performance and portability of HPC modeling and simulation applications.\nWith NVIDIA AI Enterprise, energy companies can speed up development of use case applications, such as reservoir simulation, seismic processing, and predictive maintenance. Learn how to get access to NVIDIA AI Enterprise with free curated labs to start testing.\nNVIDIA vGPU software enables powerful GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization, as well as the performance of NVIDIA GPUs required for modern workloads.\nNVIDIA NeMo\u2122, part of the NVIDIA AI platform, is an end-to-end, cloud-native enterprise framework for building, customizing, and deploying generative AI models with billions of parameters. Energy companies are exploring large language models in sentiment analysis for oil price prediction, as well as integrating sources from well logs, seismic data, and production data to generate real-time insights.\nNVIDIA Metropolis features GPU-accelerated SDKs and developer tools that help developers optimally build, deploy, and scale AI-enabled video analytics and IoT applications\u2014from the edge to the cloud.\nUse NVIDIA RAPIDS\u2122 to apply a wide variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH\u2019s single-source shortest path, cuML\u2019s k-nearest neighbor (KNN), DBSCAN, and logistic regression, for data analysis at scale.\nGain an understanding of the various building blocks of NVIDIA Modulus, the basics of physics-informed deep learning, and how the framework integrates with the overall NVIDIA Omniverse\u2122 platform.\nLearn how to reduce complexity and improve portability and efficiency of your code by using a containerized environment for HPC application development.\nLearn how to use NVIDIA Base Command\u2122 Platform to accelerate containerized AI training workloads, identify the tools necessary to build an AI center of excellence, and get the basics of working with, modifying, and running Docker containers from NVIDIA NGC\u2122.\nTransform your AI workloads with the NVIDIA H100 Tensor Core GPU, featuring Multi-Instance GPU (MIG), the Transformer Engine, and NVIDIA AI Enterprise.\nExplore NVIDIA Inception, the free program designed to help startups evolve faster through access to cutting-edge technology and NVIDIA experts, connections with venture capitalists, and co-marketing support to raise visibility.\nConnect with millions of like-minded developers in the NVIDIA Developer Program to do your life\u2019s work, and gain access to free containers, pretrained models, SDKs, technical documentation, and peer and domain expert help.\nExpand and support your portfolio with NVIDIA\u2019s Venture Capital (VC) Alliance, an initiative between NVIDIA and investors around the world who are focused on startups building cutting-edge technology with AI, data science, and HPC.\nNVIDIA solutions for the energy industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.\nChat with NVIDIA energy experts to help solve your business challenges.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-gb/": "June 2, 7 p.m. Taiwan Time.\nLearn how to manage AI inference at scale through real-world case studies and best practices for ensuring data security, compliance, and innovation.\nNVIDIA AI models and microservices advance edge computing, route mapping, and app performance.\n*In-person registration is required.\nLatest AI performance gains and features for RTX AI PCs unveiled at Microsoft Build.\nImage courtesy of: JIYUE\nHear NVIDIA CEO Jensen Huang and Dell Technologies Chairman and CEO Michael Dell dive into how AI is igniting innovation across enterprises. May 20, 10:00 a.m P.T.\nBottom right image: Plask\nDon\u2019t miss the keynote when NVIDIA Founder and CEO Jensen Huang joins ServiceNow President and COO CJ Desai on stage to explore the potential of AI for business.\nImage Courtesy of Foxconn\nImage courtesy of Accuray\nThe Dawn of a New Industrial Revolution\nWebinar: Deploying Generative AI in Production\nNVIDIA and Microsoft Deliver Optimized AI for Developers\nNew Performance Optimizations Supercharge NVIDIA RTX AI PCs\nNVIDIA CEO Jensen Huang at Dell Technologies World\nSee Jensen Huang Live at Knowledge 2024\nAll the informative and inspiring sessions are now available to watch at your own convenience. Don\u2019t miss this opportunity to discover the latest breakthroughs from the conference for the era of AI. Watch On Demand Now\nAI is powering change in every industry. From generative AI and speech recognition to medical imaging and improved supply chain management, AI is providing enterprises the compute power, tools, and algorithms their teams need to do their life's work.\nQuick Links\nLearn how to manage AI inference at scale through real-world case studies and best practices.\nThe Dell AI Factory with NVIDIA is turbocharging generative AI adoption for enterprises.\nNVIDIA\u2019s founder and CEO will join ServiceNow\u2019s president and COO on stage for a live keynote.\nNew features include support for voice and image search, plus new models.\nA new partnership will bring essential AI skills to workforces in the U.S. and Japan.\nCrowdstrike and NVIDIA partner to address security threats with innovative AI-powered solutions.\nA new catalog of GPU-accelerated cloud endpoints runs in every NVIDIA DGX Cloud.\nCustomize and evaluate generative AI models, while supporting retrieval-augmented generation in applications.\nNVIDIA RTX\u2122 and NVIDIA Omniverse\u2122 deliver the performance to help professionals, creators, developers, and students worldwide enhance creative workflows and build, operate, and connect metaverse applications.\nOpenUSD integration into Siemens\u2019 technologies is powering a new wave of industrial digitalization.\nTrain AI agents to optimize synchronization between robots and humans within their environment, enabling seamless navigation through unpredictable or complex events.\nSiemens, HD Hyundai\nSiemens is driving a new era of industrial digitalization with Omniverse and generative AI integration across the Siemens Xcelerator portfolio.\nKatana, Nissan\nNew Omniverse Cloud technologies let developers beam interactive, OpenUSD industrial digital twins into spatial computing.\nCadence\nNVIDIA GB200 NVL72 system digital twin supported by Ansys, Cadence, Motivair, and more.\nAnsys, Keysight, Nokia, and Samsung are among the first on NVIDIA 6G Research Cloud platform.\nThe latest Rhino 3D release includes expanded USD export capabilities, improved user experience across operating systems and a new script editor.\nThe NVIDIA RTX 2000 Ada GPU is now available from our channel partners.\nThe latest OpenUSD updates to Foundry Nuke enable users to tackle larger, more complex scenes with capabilities like enhanced geometry control and streamlined asset management.\nThe latest OpenUSD updates to the popular software enable 3D artists to enhance productivity and efficiency in generative AI-enabled content-creation workflows.\nHigh-performance computing (HPC) is the ability to process data and perform complex calculations at high speeds. HPC is one of the most essential tools fueling the advancement of computational science.\nSupercomputers are incorporating NVIDIA Grace Hopper and CUDA-Q to advance quantum research.\nThe U.S. National Science Foundation has launched the National Artificial Intelligence Research Resource pilot, with NVIDIA as a major contributor.\nProviding a path to simulate and visualize the global atmosphere at unprecedented speed and scale.\nNVIDIA and Quantum Machines debut DGX\u2122 Quantum-integrated architecture using the open-source CUDA\u00ae Quantum software platform.\nA new ebook shares best practices for system design, current trends, and expert insights.\nNVIDIA Clara\u2122 Holoscan, BlueField\u00ae DPUs, and MetroX\u00ae-3 enable streaming processing at the edge.\nNVIDIA Omniverse\u2122 lets designers, builders, and operators use the power of virtual worlds.\nThe National Oceanic and Atmospheric Administration has selected Lockheed Martin and NVIDIA for the project.\nNVIDIA GeForce RTX\u2122 powers the world\u2019s fastest GPUs and the ultimate platform for gamers and creators. Enjoy beautiful ray tracing, AI-powered DLSS, and much more in games and applications, on your desktop, laptop, in the cloud, or in your living room.\n500 RTX games and apps are now powered by DLSS, ray tracing & AI-powered technologies. Check out the latest.\nWith NVIDIA DLSS 3 and Reflex.\nNVIDIA DLSS 3, DLAA and Reflex available now.\nLearn more about the world's fastest laptops for gamers and creators.\nRay tracing and DLSS 3 available now.\nLearn more about the best displays that are rigorously tested for the highest standards.\nSee what\u2019s streaming this week on GeForce NOW.\nLearn about Twitch Enhanced Broadcasting, powered by GeForce RTX.\nExtraordinary artists, inspiring art, and creator news\u2014every week.\nFrom developing autonomous vehicles on NVIDIA DRIVE\u00ae to creating factory digital twins and retail experiences with NVIDIA Omniverse, our automotive solutions offer the performance and scalability to design, visualize, simulate, and create all types of future transportation.\nLeading automotive partners are adopting NVIDIA DRIVE\u00ae for their next-generation vehicles.\nLeading companies across the transportation industry count on NVIDIA DRIVE\u2122 Thor to advance their next-generation vehicles.\nForetellix\nThe new APIs deliver large-scale, high-fidelity, and physically based sensor simulations to accelerate autonomous vehicle development.\nFrom EV makers adopting NVIDIA DRIVE Thor to Omniverse Cloud APIs for simulation, learn about the latest automotive announcements at GTC24.\nBYD\nLearn how generative AI developers are building intelligent AI assistants using NVIDIA\u2019s edge-to-cloud technology.\nNVIDIA partners are fusing the physical and digital worlds to redefine the automotive industry.\nExplore unique perspectives from industry leaders on how AI is shaping the future of transportation.\nWPP, Zerolight, Ford, and Lotus are embracing the interactive 3D platform.\nImage Courtesy of Li Auto\nLi Auto, Great Wall Motor, Xiaomi, and ZEEKR adopt the NVIDIA DRIVE platform.\nVirtual factory and autonomous vehicle simulation engines hosted on Azure will streamline design, production, and validation.\nThe NVIDIA Jetson\u2122 and Isaac\u2122 platforms provide end-to-end solutions to develop and deploy AI-powered autonomous machines and edge computing applications across manufacturing, logistics, healthcare, smart cities, and retail.\nIntrinsic uses NVIDIA AI to advance robotic manipulation, showcasing leaps in robotic grasping.\nIntroducing new foundation models, a robot learning framework, AI workflow orchestration and robot perception tools.\nThis powerful new cloud-native compute orchestration service delivers a single pane of glass for scheduling and managing autonomous machine workloads.\nJohnson & Johnson\nUsing NVIDIA AI and robotics to deliver real-time insights before, during, and after surgical procedures.\nNVIDIA introduces powerful microservices and APIs to bring edge AI to production faster than ever before.\nNVIDIA announces the most complete AI embedded software stack for robotics, vision AI, and edge applications.\nLearn how electronics giants tap into industrial automation with NVIDIA Metropolis for Factories.\nCheck out the rugged, power-efficient NVIDIA Jetson AGX Orin\u2122 Industrial system-on-module.\nThe company is accelerating robotics-based inspection in automotive and electronics manufacturing.\nAn integrated software stack designed for AI-enabled autonomous mobile robots with edge-to-cloud workflows.\nFrom the cloud to the office to the data center to the edge, NVIDIA provides solutions that deliver breakthrough performance on enterprise AI and HPC workloads at any scale, driving business decisions in real time and resulting in faster time to value.\nNVIDIA and Microsoft are partnering to accelerate the development and deployment of generative AI.\nSwitzerland\u2019s Alps Supercomputer and others will deliver 200 exaFLOPS to advance research.\nThe latest in accelerated compute and networking will boost performance for AI and beyond.\nNVIDIA H200 Tensor Core GPUs delivered the fastest inference performance on generative AI tests.\nDesigned for massive-scale AI and optimized for trillion-parameter-scale generative AI and GPU computing.\nThe next-generation DGX SuperPOD processes massive trillion-parameter models for generative AI.\nThe NVIDIA GB200 NVL72 exascale computer enables real-time inference and training in a single rack.\nPowered by the NVIDIA Blackwell architecture, DGX B200 is a unified platform optimized for enterprise AI workloads.\nThe new simulation platform will help scientists advance quantum computing and algorithm research.\nEquinix Private AI with DGX lets enterprises worldwide easily acquire their own fully managed infrastructure for generative AI.\nNVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.\nWatch NVIDIA founder and CEO Jensen Huang deliver a live keynote sharing how the era of AI is driving a new industrial revolution across the globe.\nSee the AI breakthroughs driving the new industrial revolution.\nNVIDIA was named the world\u2019s most innovative company by Fast Company, while CEO Jensen Huang was elected to the U.S. National Academy of Engineering for helping to fuel the AI revolution.\nSee entrepreneur Kanjun Qiu and NVIDIA\u2019s Bryan Catanzaro discuss bridging the gap between imagination and automation at NVIDIA GTC.\nAccuray\nOur work is truly unique. Part science. Part art. Every breakthrough helps shape what\u2019s next.\nThanks to our employees, NVIDIA is once again one of the top places to work in the U.S., according to Glassdoor. Discover why it\u2019s like no place you\u2019ve ever worked.\nTake a look at some of the ways NVIDIANs have turned their passion for charitable giving into action.\nTe Hiku Media\u2019s uses NVIDIA NeMo toolkit for speech recognition.\nNVIDIAN Christof Henkel clinched the top spot in an American Sign Language recognition challenge.\nDiscover Katja Sirazitdinova\u2019s inspiring journey to become a senior deep learning data scientist at NVIDIA and learn how she\u2019s empowering women to pursue careers in tech.",
    "https://www.nvidia.com/en-us/industries/media-and-entertainment/#nav-lvl1-tab4-lvl2-tab5": "AI-Enabled Content Creation, Distribution, and Consumption\nNew technologies are transforming the media and entertainment industry\u2014 AI-accelerated production pipelines deliver higher-quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.\nFor decades, NVIDIA has helped create and deliver award-winning content, and now it\u2019s redefining the future of M&E with state-of-the-art AI, hardware, software platforms, and networking solutions.\nHear from innovators and creators who are using NVIDIA GPUs to deliver captivating cinematic experiences. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX\u2122 All Stars.\nDiscover the power of AI, generative AI, virtual production, cloud-based workflows, and immersive graphics revolutionizing content creation, delivery, and consumption.\nAccelerate production pipelines with AI and real-time technologies.\nThe world's top film and television studios use NVIDIA technologies to power the most advanced, visually rich feature films and TV shows ever made. Discover how NVIDIA AI, RTX graphics, and state-of-the-art hardware and software platforms help make box office record-breakers, hit TV shows, and Academy Award-winning pictures possible.\nSolutions for immersive real-time graphics, IP video, and AI.\nNVIDIA technologies are helping broadcasters revolutionize how content is created, managed, distributed, and consumed. The latest enterprise-class NVIDIA GPUs, combined with NVIDIA networking technologies, enable all-new workflows for live broadcast. Gain new creative capabilities and deliver incredible viewer experiences with AI solutions and next-generation infrastructure.\nBuild brands, engage customers, and deliver insights with AI.\nConsumer behaviors are changing rapidly with the proliferation of high-performance connected devices. Agencies and corporate in-house creative teams must innovate with dynamic, experiential, and branded content that captivates and engages audiences in new ways. With NVIDIA GPUs, real-time technologies, and artificial intelligence, advertisers and brand leaders can create immersive real-time experiences while gaining much deeper consumer insights across all platforms.\nReal-time graphics, AI, virtualization, and data analytics solutions.\nNVIDIA RTX enables gaming companies to create breathtaking, interactive worlds with performance that exceeds gamers\u2019 expectations. Increasingly, game developers are making full use of virtualized production pipelines, integrating real-time ray tracing, and leveraging AI for deeper customer insights.\nLearn from global leaders in media and entertainment about the impact of real-time graphics, AI, and high-performance networking.\nCourtesy of Sony Pictures Animation\nSony Pictures Animation developed FlixiVerse, an app built on Omniverse Enterprise, allowing 2D artists to accelerate creative workflows with more iterations and easier transitions into 3D environments. See how they leveraged OpenUSD and Nucleus\u2019 auto-updating capabilities to give their artists greater control in pre-production.\nHear from innovators and creators across the M&E industry who are using RTX solutions to deliver captivating cinematic experiences in film and television. These creatives, along with their teams, are shaping the future of storytelling as the next NVIDIA RTX All Stars.\nRegistration Required\nImage courtesy of WPP\nThe world\u2019s largest marketing services organization is the first to launch automotive marketing services on Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nImage courtesy of V\u016b\nFrom powering LED Volumes and artist workstations to enabling AI and Generative AI workflows, the NVIDIA RTX\u2122 5000 Ada Generation GPU gives V\u016b the power and reliability to unleash the full potential of creative content.\nImage courtesy of V\u016b\nBroadcasters can automatically generate videos with text and develop lifelike virtual humans with Hour One\u2019s solutions, powered by NVIDIA Technologies.\nThe sheer power provided by the new RTX 6000 Ada GPUs has had a massive impact on how we interact with Neural Radiance Fields\u2026 What NVIDIA and HP have done not only makes existing graphically demanding tasks even faster, but it also unlocks a new chapter in real-time workflows that was simply not possible until now.\n\u2014 Landis Fields, Real-Time Principal Creative, Industrial Light & Magic\nThe NVIDIA RTX 6000 Ada Generation GPU is one step ahead of our evolving real-time pipeline for live-action filmmakers. It's adding efficiency, ease, and, more importantly, creative power directly to filmmakers.\n\u2014 Rapha\u00ebl Goudin, Virtual Production Supervisor, Versatile Media Ltd.\nNVIDIA continues to deliver solutions that light the path forward for an industry in transition, easing the adoption of the latest standards, and bringing flexibility and scalability to the broadcast market.\nNew Omniverse platform updates, connections to Adobe Firefly, and Ada-Generation systems to accelerate interoperable 3D workflows and industrial digitalization.\n20th Century Studios\nThe Academy Award nominations are in\u2014and for the 15th year in a row\u2014NVIDIA technologies worked behind the scenes of every film nominated for Best Visual Effects.\nExplore a hub of SDKs, resources, and news for developers working in the Media and Entertainment industry.\nFeatured\nSee how NVIDIA and our partners are helping the industry accelerate their production pipelines, deliver higher quality content, enhance live entertainment, and optimize distribution and monetization.\nVideos\nDevelop custom 3D pipelines and simulate large-scale, physically accurate virtual worlds with NVIDIA Omniverse Enterprise.\nStreamline building a state-of-the-art session-based recommender pipeline with this new free hands-on lab.\nThis session will walk you through what Universal Scene Description (USD) is, how assets are constructed with it, and why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds.\nConnect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs\u2014all the tools necessary to successfully build apps with NVIDIA technology\u2014through the NVIDIA Developer Program.\nEvolve your startup with go-to-market support, technical expertise, training, and funding opportunities.\nHelp us inspire the next generation by joining the NVIDIA Partner Network (NPN).\nOur experts can help your business unlock its potential.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/networking/quantum2/#nav-lvl1-tab4-lvl2-tab5": "NVIDIA Quantum-2, the seventh generation of the NVIDIA InfiniBand architecture, gives AI developers and scientific researchers the fastest networking performance and feature-sets available to take on the world\u2019s most challenging problems. NVIDIA Quantum-2 empowers the world\u2019s leading supercomputing data centers with software-defined networking, In-Network Computing, performance isolation, advanced acceleration engines, remote direct-memory access (RDMA), and the fastest speeds and feeds up to 400Gb/s.",
    "https://www.nvidia.com/en-us/geforce/geforce-experience/shadowplay/": "NVIDIA ShadowPlay Record and Capture Your Greatest Gaming Moments ShadowPlay is the easiest way to record and share high-quality gameplay videos, screenshots, and livestreams with your friends.",
    "https://www.nvidia.com/en-us/networking/interconnect/#nav-lvl1-tab4-lvl2-tab7": "800 gigabits per second (Gb/s) and 400Gb/s cables and transceivers are used for linking Quantum-2 InfiniBand and Spectrum-4 SN5600 Ethernet switches together and with ConnectX-7 network adapters, BlueField-3 DPUs, and NVIDIA DGX\u2122 H100 GPU systems. The product line consists of direct-attach cables (DAC) reaching up to 3 meters (m), linear active copper cables from 3m to 5m, multimode optics to 50m, and single-mode optics to 100m, 500m, and 2 kilometers (km). Switches only use twin-port octal small form factor pluggable (OSFP) connectors. ConnectX-7 uses both OSFP and QSFP112, and BlueField-3 uses QSFP112 only.",
    "https://www.nvidia.com/en-us/about-nvidia/nvidia-awards/#page-content": "Best Places to Work, Employees\u2019 Choice GLASSDOOR\nMost Innovative Company FAST COMPANY\nCULTURE CHAMPION MIT Sloan & Glassdoor\nSustainability Index DOW JONES\nBest Corporate Citizens JUST 100\nBest-Performing CEOs HARVARD BUSINESS REVIEW\nWe've also been recognized for our efforts in these important areas.\nRank #2 on the Dave Thomas Foundation 100 Best Adoption-Friendly Workplaces\nBest Places to Work for LGBTQ Equality, Human Rights Campaign Foundation\nDonations and employee fund-matching programs for community and charitable organizations\nFortune 100 Best Workplaces for Millennials, workers born between 1981 and 1997\nFortune 50 Best Workplaces for Parents, with an emphasis on work/life balance",
    "https://www.nvidia.com/en-us/geforce-now/#nav-lvl1-tab4-lvl2-tab7": "Your fast pass to 24 hours of GeForce RTX-powered cloud gaming. Experience all premium member benefits, no membership required.\nGeForce NOW connects to digital PC game stores so you can stream the games you already own. Plus, game purchases you make on your personal store accounts will always stay with you.\nGeForce NOW instantly transforms your laptop, desktop, Mac, TV, Android device, iPhone, or iPad into the powerful PC gaming rig you\u2019ve always dreamed of.\nOur premium membership plans offer you fastest access to the highest performance GeForce RTX rigs for a high-resolution, ultra-low latency, and competitive experience.\nSay goodbye to large game downloads, updates, and patches. All GeForce NOW games are always up to date, so you can spend less time waiting and more time gaming.\nStream directly from GeForce RTX GPUs.\nExperience incredibly realistic effects.\nJump straight to the front of the queue.\nPlay for hours without interruption.\nShadows, textures, and effects\u2014all maxed.\nWe are unable to process your request at this time\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/data-center/base-command/manager/support/": "Stay up to date on the latest software enhancements, get help with deployment and configuration questions, and get the most out of your high-performance computing (HPC) or AI cluster with NVIDIA Base Command\u2122 Manager support.\nKeep your cluster always up to date with new software releases. Our support team manages any issues that arise as a result of an upgrade.\nGet support when you need it with direct communication with NVIDIA Base Command Manager support experts.\nDay or night, use a simple web interface to submit issues to the NVIDIA enterprise support team, with all the details of your cluster\u2019s behavior.\nFor customers using NVIDIA Bright Cluster Manager 9.2 or earlier, support is available from Monday at 9:00 a.m. Australian Central Time (11:30 p.m. Sunday UTC) to Friday at 5:00 p.m. Pacific Time (1:00 a.m. Saturday UTC). Additional support resources are available below.",
    "https://www.nvidia.com/en-gb/geforce/gaming-laptops/": "NVIDIA GeForce RTX\u2122 40 Series laptops supercharge studies for STEM students. Powerful NVIDIA GPUs accelerate the top student applications in engineering, architecture, computer science, data science, economics, and more. With GeForce RTX, students can get out of the computer lab and work from anywhere, finish coursework faster, and study, create and play, all on the same laptop",
    "https://www.nvidia.com/en-us/geforce/rtx-remix/#nav-lvl1-tab3": "Create stunning RTX remasters of classic games. Built on NVIDIA Omniverse, RTX Remix allows modders to easily capture game assets, automatically enhance materials with generative AI tools, and quickly create stunning RTX remasters with full ray tracing and DLSS 3.5 with Ray Reconstruction.\nThe RTX Remix app is your central UI for creating RTX mods of classic games. Easily import game captures, enhance assets, relight scenes with path-traced lighting, and see updates live in the RTX Remix viewport.\nRTX Remix is built on NVIDIA Omniverse\u2122, a hub to streamline 3D workflows, allowing you to move assets quickly between RTX Remix and popular 3D tools like Blender and Adobe Substance via the industry-standard Universal Scene Description (OpenUSD) framework.\nRTX Remix\u2019s generative AI texture tools analyze low-resolution textures from classic games, generate physically accurate materials\u2014including normal and roughness maps\u2014and upscale the resolution by up to 4X.\nThe RTX Remix runtime dynamically replaces original assets with modded assets at playback while injecting RTX technologies including path tracing, DLSS 3 and Reflex. Quickly tune mods in real time with the in-game overlay and capture assets from the game via the RTX Remix creator app. The RTX Remix runtime is open-sourced on GitHub for the modding community to contribute to.\nDownload and install NVIDIA Omniverse with RTX Remix.\nCreate an Omniverse account and log in.\nLaunch RTX Remix from Omniverse.\nCheck out our documentation\nWatch RTX Remix tutorials\nJoin the RTX Remix Discord\nSee Community Resources on ModDB\nCheck out the FAQ\nSystem Requirements\nPersonal Information\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/solutions/rendering/#nav-lvl1-tab4-lvl2-tab5": "NVIDIA Omniverse\u2122 is an open platform for virtual collaboration and real-time physically accurate simulation. Creators, designers, and engineers can accelerate their workflows with one-click interoperability between leading software tools in a shared virtual world. Running on NVIDIA RTX\u2122, breathtaking, high-fidelity models can be instantly shared to any device.",
    "https://www.nvidia.com/en-us/omniverse/synthetic-data/": "To generate synthetic data, you must first create a digital twin of the environment that you\u2019ll be training your AI model on.\nIf training an AI model for a warehouse robot, you will need to create a virtual scene with objects such as pallet jacks and storage racks. If training an AI model for visual inspection on an assembly line, you will need to create a virtual scene with objects such as a conveyor belt and the product being produced.\nOne of the key challenges that developers face in developing synthetic data pipelines is closing the sim-to-real gap. To create synthetic data that reflects real-world scenarios, you will need to randomize your scene to reflect the plethora of scenarios that an AI model might encounter. This means modifying aspects of the scene such as the position of objects, texture, and lighting. You may also want to modify the camera position and add environmental distractors that may affect the model's performance.\nWith NVIDIA Omniverse\u2122 Replicator SDK, developers can build custom pipelines that enable technical artists to create and randomize synthetic data for various AI training use cases. Omniverse Replicator powers NVIDIA Isaac Sim\u2122, enabling you to generate synthetic data for robotics applications, and autonomous vehicle simulation, which enables you to generate synthetic data for accelerated development.",
    "https://www.nvidia.com/en-us/data-center/tensor-cores/#nav-lvl1-tab1": "Advanced HPC\nHPC is a fundamental pillar of modern science. To unlock next-generation discoveries, scientists use simulations to better understand complex molecules for drug discovery, physics for potential sources of energy, and atmospheric data to better predict and prepare for extreme weather patterns. NVIDIA Tensor Cores offer a full range of precisions, including FP64, to accelerate scientific computing with the highest accuracy needed.\nThe HPC SDK provides the essential compilers, libraries, and tools for developing HPC applications for the NVIDIA platform.",
    "https://www.nvidia.com/en-us/self-driving-cars/self-driving-cars-contact-us/#nav-lvl1-tab4-lvl2-tab6": "This form is for automotive inquires only. For other inquiries, please click here.\nOptional\nPlease provide a brief description of your product and business model.\nWhere do you stand within your product development? Please include the list of NVIDIA products you are using.\nHow can NVIDIA help you achieve your goals?\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce/rtx-remix/#nav-lvl1-tab4-lvl2-tab3": "Create stunning RTX remasters of classic games. Built on NVIDIA Omniverse, RTX Remix allows modders to easily capture game assets, automatically enhance materials with generative AI tools, and quickly create stunning RTX remasters with full ray tracing and DLSS 3.5 with Ray Reconstruction.\nThe RTX Remix app is your central UI for creating RTX mods of classic games. Easily import game captures, enhance assets, relight scenes with path-traced lighting, and see updates live in the RTX Remix viewport.\nRTX Remix is built on NVIDIA Omniverse\u2122, a hub to streamline 3D workflows, allowing you to move assets quickly between RTX Remix and popular 3D tools like Blender and Adobe Substance via the industry-standard Universal Scene Description (OpenUSD) framework.\nRTX Remix\u2019s generative AI texture tools analyze low-resolution textures from classic games, generate physically accurate materials\u2014including normal and roughness maps\u2014and upscale the resolution by up to 4X.\nThe RTX Remix runtime dynamically replaces original assets with modded assets at playback while injecting RTX technologies including path tracing, DLSS 3 and Reflex. Quickly tune mods in real time with the in-game overlay and capture assets from the game via the RTX Remix creator app. The RTX Remix runtime is open-sourced on GitHub for the modding community to contribute to.\nDownload and install NVIDIA Omniverse with RTX Remix.\nCreate an Omniverse account and log in.\nLaunch RTX Remix from Omniverse.\nCheck out our documentation\nWatch RTX Remix tutorials\nJoin the RTX Remix Discord\nSee Community Resources on ModDB\nCheck out the FAQ\nSystem Requirements\nPersonal Information\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/data-center/base-command/manager/support/#coverage": "Stay up to date on the latest software enhancements, get help with deployment and configuration questions, and get the most out of your high-performance computing (HPC) or AI cluster with NVIDIA Base Command\u2122 Manager support.\nKeep your cluster always up to date with new software releases. Our support team manages any issues that arise as a result of an upgrade.\nGet support when you need it with direct communication with NVIDIA Base Command Manager support experts.\nDay or night, use a simple web interface to submit issues to the NVIDIA enterprise support team, with all the details of your cluster\u2019s behavior.\nFor customers using NVIDIA Bright Cluster Manager 9.2 or earlier, support is available from Monday at 9:00 a.m. Australian Central Time (11:30 p.m. Sunday UTC) to Friday at 5:00 p.m. Pacific Time (1:00 a.m. Saturday UTC). Additional support resources are available below.",
    "https://www.nvidia.com/en-us/geforce/laptops/#ray": "NVIDIA GeForce RTX\u2122 40 Series laptops supercharge studies for STEM students. Powerful NVIDIA GPUs accelerate the top student applications in engineering, architecture, computer science, data science, economics, and more. With GeForce RTX, students can get out of the computer lab and work from anywhere, finish coursework faster, and study, create and play, all on the same laptop",
    "https://www.nvidia.com/en-us/geforce/news/geforce-rtx-4060-4060ti/": "If you\u2019re searching for a meaningful upgrade that will enable you to enjoy today\u2019s mainstream games at faster frame rates and higher detail levels, look no further, the GeForce RTX 4060 Family has arrived.\nTo add the GeForce RTX 4060 Ti (8GB) to your system, or to purchase a pre-built with our newest GPU, head over to our Product Finder from May 24th at 6 a.m. Pacific Time to see what\u2019s available in your region.\nGeForce RTX 4060 Ti and GeForce RTX 4060 graphics cards will be available from top add-in card providers such as ASUS, Colorful, Gainward, GALAX, GIGABYTE, INNO3D, KFA2, MSI, Palit, PNY and ZOTAC, and in desktops from leading system builders worldwide. The GeForce RTX 4060 Ti (8GB) will also be available with our in-house Founders Edition design through select retailers.",
    "https://www.nvidia.com/en-us/networking/ethernet-adapters/#nav-lvl1-tab4-lvl2-tab1": "Providing up to four ports of connectivity and 400Gb/s of throughput, the NVIDIA ConnectX-7 NIC provides hardware-accelerated networking, storage, security, and manageability services at data center scale for cloud, telecommunications, AI, and enterprise workloads. ConnectX-7 empowers agile and high-performance networking solutions with features such as Accelerated Switching and Packet Processing (ASAP2), advanced RoCE, GPUDirect Storage, and in-line hardware acceleration for Transport Layer Security (TLS), IP Security (IPsec), and MAC Security (MACsec) encryption and decryption. ConnectX-7 enables organizations to meet their current and future networking needs in both high-bandwidth and high-density environments.",
    "https://www.nvidia.com/en-gb/industries/public-sector/": "In one of the largest technology transformations ever undertaken, the AI revolution is happening right now amongst the U.S government. AI is impacting new developments in cybersecurity, healthcare, life sciences, platform sustainment, humanitarian response, and disaster relief. NVIDIA is at the forefront of this democratization of AI, building the technology that will make communities safer and more connected everywhere.\nGPU-accelerated systems are assisting during natural disasters; serving communities by improving safety, power efficiency, and traffic flows; and helping leaders solve the unsolvable problems within the areas of cybersecurity and cyber resilience.\nThese revolutionary solutions are made possible with NVIDIA technology.\nNVIDIA\u2019s AI platform, for both deep learning training and inference, is transforming the way computers perform perceptual tasks such as computer vision, pattern detection, speech recognition, and behavior prediction. These improvements make it possible to take labor-intensive jobs and automate them for applications like disaster response and humanitarian relief.\nWith NVIDIA DeepStream, TAO Toolkit, and CUDA-X\u2122 acceleration libraries, federal and civilian agencies are able to change the way we approach weather prediction models, evacuation route predictions, rescue mission.\nPlatform sustainment is one of the greatest challenges the U.S. government faces today, managing and maintaining hundreds of thousands of aging aircraft, vehicles, and ships critical to the safety of our nation and allies. Legacy approaches dominate the market, with platforms continuing to experience a high rate of downtime and prohibitive maintenance costs.\nPredictive maintenance is a modern approach driven by predictive analytics and AI that\u2019s been shown to increase availability and reduce costs significantly. NVIDIA EGX\u2122, the edge AI platform for AI and high-performance data analytics, powers all aspects of predictive maintenance\u2014from supply chain optimization, to automated visual inspections, to early failure prediction.\nDefending and securing computer systems requires customizable AI that operates at real-time speeds on extremely large networks. NVIDIA GPUs and the NVIDIA RAPIDS\u2122 suite of open-source software libraries are critical building blocks for creating the future of accelerated log ingestion, anomaly detection, threat hunting, and other essential information security workflows. When security teams and cybersecurity data scientists can leverage these tools and technologies, they can extend the security environment beyond traditional security information and event management (SIEM) and accelerate compute capabilities that can adapt to any network.\nAI is being used across branches of the U.S government to deliver autonomously operated platforms in the air, on land, and at sea. GPU-powered autonomous machines and robots use AI to solve some of the world\u2019s toughest problems, and they\u2019ve demonstrated their potential to save both lives and costs by enabling efficient and safe operations. With the NVIDIA\u24c7 Jetson\u2122 platform , it\u2019s possible to develop and deploy AI-powered robots, drones, intelligent video analytics (IVA) applications, and other autonomous machines.\nNVIDIA LaunchPad is a free program that provides users with short-term access to a large catalog of hands-on labs. Now enterprises and organizations can immediately tap into the necessary hardware and software stacks to experience end-to-end solution workflows in the areas of AI, data science, 3D design collaboration and simulation, and more.\nFrom scientific discoveries to artificial intelligence, modern data centers are key to solving some of the world\u2019s most important challenges. The NVIDIA-accelerated computing platform gives these modern data centers the power to accelerate deep learning, machine learning, and high-performance computing (HPC) workloads.\nGPUs in the cloud provide innovators everywhere with access to massive computing power on demand and with ease. Every major cloud provider offers the latest NVIDIA GPUs for this purpose, along with specific provisions to satisfy the Federal Risk and Authorization Management Program (FedRAMP) certification.\nInnovators can pay for as little as they need and use GPUs without worrying about setup, upgrade, or management costs. With NVIDIA technology in the cloud, agencies can scale appropriately to handle demand spikes in any region of the world and collaborate at unprecedented levels while maintaining a smaller headcount.\nNVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software that\u2019s optimized to enable any organization to use AI. It\u2019s certified to deploy anywhere\u2014from the enterprise data center to the public cloud\u2014and includes global enterprise support to keep AI projects on track.\nNVIDIA\u2019s edge solutions are designed to gather and compute continuous streams of data at the network\u2019s edge. AI computations are performed entirely at the point of action---from streets, buildings, parking lots, and disaster sites--delivering real-time insights and notifications.\nWith today's powerful AI and the NVIDIA EGX edge computing platform, NVIDIA is helping organizations everywhere make smarter, faster decisions.\nBooz Allen is the first federally focused consulting firm certified to facilitate the NVIDIA Deep Learning Institute (DLI) curriculum for both beginner and intermediate levels. Look through our courses with specialized training.\nChoose from over 40 courses and gain access to hands-on technical training in AI and accelerated computing, offered by the NVIDIA DLI. DLI offers self-paced and instructor-led training, powered by GPUs in the cloud.\nCheck out the latest 2021 courses:\nNVIDIA partners with system integrators to develop custom solutions for federal agencies. You can also purchase NVIDIA technology for your agency through any one of our solution providers.\nLearn more about the latest innovations in the public sector.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/geforce/laptops/30-series/#max-q-feature-10": "Dynamic Boost\nuses AI to automatically deliver the optimal power between the GPU, GPU memory, and CPU to boost performance.\nBattery Boost\nfinds the optimal balance of GPU and CPU power usage, battery discharge, image quality, and frame rates for longer battery life.\nRapid Core Scaling\nscales the optimal number of cores and operates them at higher frequencies, delivering more performance for intensive creative work and STEM apps while on-the-go.\nCPU Optimizer\nenables the GPU to optimize the performance, temperature, and power of the CPU.\nWhisperMode\nuses AI-powered algorithms to manage the fan speeds in conjunction with the CPU, GPU, and system temperatures to deliver great acoustics and the best possible performance.\nDLSS\nuses groundbreaking AI rendering to provide a massive performance boost at the same power with maximum image quality.\nAdvanced Optimus\ndelivers long battery life plus the tear free gameplay of G-SYNC.\nResizable BAR\nenables the CPU to access the entire GPU frame buffer at once, improving performance in games.\nOptimal Playable Settings\nfinds the best balance of performance and image quality. Then automatically configures personalized graphics settings based on the PC's GPU, CPU, and display.\nGPU Efficiency\noptimizes the GPU to deliver the best gaming performance while also reducing power.",
    "https://www.nvidia.com/en-us/design-visualization/solutions/rendering/#clarisse": "NVIDIA Omniverse\u2122 is an open platform for virtual collaboration and real-time physically accurate simulation. Creators, designers, and engineers can accelerate their workflows with one-click interoperability between leading software tools in a shared virtual world. Running on NVIDIA RTX\u2122, breathtaking, high-fidelity models can be instantly shared to any device.",
    "https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/#page-content": "Data analytics and database workflows have traditionally relied on CPUs for compute. Accelerated data science can dramatically boost the performance of end-to-end analytics, speeding up value generation while reducing cost. Databases, including Apache Spark, play critical roles in handling, processing, and analyzing large volumes of data for data analytics.\nBlackwell\u2019s Decompression Engine and ability to access massive amounts of memory in the NVIDIA Grace\u2122 CPU over a high-speed link\u2014900 gigabytes per second (GB/s) of bidirectional bandwidth\u2014accelerate the full pipeline of database queries for the highest performance in data analytics and data science with support for the latest compression formats such as LZ4, Snappy, and Deflate.",
    "https://www.nvidia.com/en-us/networking/ethernet-adapters/#nav-lvl1-tab4": "Providing up to four ports of connectivity and 400Gb/s of throughput, the NVIDIA ConnectX-7 NIC provides hardware-accelerated networking, storage, security, and manageability services at data center scale for cloud, telecommunications, AI, and enterprise workloads. ConnectX-7 empowers agile and high-performance networking solutions with features such as Accelerated Switching and Packet Processing (ASAP2), advanced RoCE, GPUDirect Storage, and in-line hardware acceleration for Transport Layer Security (TLS), IP Security (IPsec), and MAC Security (MACsec) encryption and decryption. ConnectX-7 enables organizations to meet their current and future networking needs in both high-bandwidth and high-density environments.",
    "https://www.nvidia.com/en-us/sustainability/#nav-lvl1-tab4-lvl2-tab7": "We strive to make NVIDIA a place where employees create positive change in the world.\nWe\u2019re honored to be awarded second place in Glassdoor\u2019s 2024 Best Places to Work.\nBy the end of FY25, and annually thereafter, we expect to achieve and maintain 100% renewable electricity for offices and data centers under our operational control.\nNVIDIA Blackwell GPUs are generally 20X more energy efficient than traditional CPUs for certain AI and high-performance computing (HPC) workloads.\nNVIDIA powers the most efficient supercomputer on the November 2023 Green500 list.\nAI represents the most profound technological shift in our era, touching virtually every industry.",
    "https://www.nvidia.com/en-us/geforce-now/rewards/#nav-lvl1-tab4-lvl2-tab1": "One of the benefits of being a GeForce NOW member is access to exclusive rewards. Sign-up today and get ready for a ton of great giveaways \u2013 from free games, to in-game content, discounts and more.\nExperience limitless adventure in The Elder Scrolls Online with a reward for GeForce NOW gamers. Sign up for GeForce NOW rewards and claim your in-game mount for ESO, streaming now.\nRewards are only available for GeForce NOW Gamers and are available on a first come first served basis.",
    "https://www.nvidia.com/en-gb/omniverse/": "There are two methods to get started with developing on NVIDIA Omniverse:\nPlatform SDK\nFor developers looking to build an application from scratch, NVIDIA offers Omniverse Kit SDK and free sample applications that can be easily customized and extended.\nDownload the platform SDK here.\nCloud APIs\nFor developers looking to take only the pieces they need, NVIDIA offers Omniverse core technologies that are exposed as simple APIs that developers can self-host on any cloud, multi-cloud, or virtual private cloud, or, consume as a managed service from NVIDIA Omniverse Cloud on Microsoft Azure.\nOmniverse core APIs give developers the ability to integrate USD data ingest, and RTX-enabled output.\nApply for early access to APIs.",
    "https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-xavier-nx/#nav-lvl1-tab4-lvl2-tab6": "Jetson Xavier NX Series Introducing the powerful NVIDIA Jetson Xavier NX 16GB module. Shop all Jetson Xavier NX Products",
    "https://www.nvidia.com/en-gb/geforce/geforce-experience/": "Capture and share videos, screenshots, and livestreams with friends. Keep your drivers up to date and optimize your game settings. GeForce Experience\u2122 lets you do it all, making it the super essential companion to your GeForce\u00ae graphics card or laptop.",
    "https://www.nvidia.com/en-us/ai-data-science/generative-ai/nemo-framework/#nav-lvl1-tab4-lvl2-tab3": "Generative AI\nBuild, customize, and deploy generative AI.\nVideo | Solution Brief | For Developers\nNVIDIA NeMo\u2122 is an end-to-end platform for developing custom generative AI\u2014including large language models (LLMs), multimodal, vision, and speech AI \u2014anywhere. Deliver enterprise-ready models with precise data curation, cutting-edge customization, retrieval-augmented generation (RAG), and accelerated performance.\nGet on the fast-track to enterprise transformation with generative AI. This series of on-demand webinars offers a roadmap to accelerated development and deployment, offering the knowledge you need to take full advantage of this breakthrough technology.\nTrain and deploy generative AI anywhere, across clouds, data centers, and the edge.\nDeploy into production with a secure, optimized, full-stack solution that offers support, security, and API stability as part of NVIDIA AI Enterprise.\nQuickly train, customize, and deploy large language models (LLMs), vision, multimodal, and speech AI at scale, reducing time to solution and increasing ROI.\nMaximize throughput and minimize LLM training time with multi-node, multi-GPU training and inference.\nExperience the benefits of a complete solution for the LLM pipeline\u2014from data processing and training to inference of generative AI models.\nAccelerate the adoption of custom generative AI with NVIDIA NeMo microservices. Our advanced custom generative AI platform is now available as a set of microservices, offering a range of benefits to enterprises across industries.\nNeMo Curator\nNVIDIA NeMo Curator is a GPU-accelerated data-curation tool that enables large-scale, high-quality datasets for pretraining LLMs.\nNeMo Customizer\nNVIDIA NeMo Customizer is a high-performance, scalable microservice that simplifies fine-tuning and alignment of LLMs for domain-specific use cases, making it easier to adopt generative AI across industries.\nNeMo Evaluator\nNVIDIA NeMo Evaluator provides automatic assessment of custom generative AI models across academic and custom benchmarks on any platform.\nNeMo Retriever\nNVIDIA NeMo Retriever is a collection of generative AI microservices that enable organizations to seamlessly connect custom models to diverse business data and deliver highly accurate responses.\nNeMo Guardrails\nNVIDIA NeMo Guardrails orchestrates dialog management, ensuring accuracy, appropriateness, and security in smart applications with LLMs. It safeguards organizations overseeing generative AI systems.\nNVIDIA NIM\nNVIDIA NIM, part of NVIDIA AI Enterprise, is an easy-to-use software designed to accelerate deployment of generative AI across clouds, data centers, and workstations.\nExperience, prototype, and deploy AI with production-ready APIs that run anywhere.\nCheck out the latest NVIDIA press releases to see how NeMo and generative AI are impacting diverse industries, partner collaborations, and more.\nEnterprises are turning to generative AI to revolutionize the way they innovate, optimize operations, and build a competitive advantage. NeMo is an end-to-end, cloud-native framework for curating data, training and customizing foundation models, and running inference at scale. It supports text-to-text, text-to-image, and text-to-3D models and image-to-image generation.\nUnlock the power of generative AI with an accelerated computing platform\u2014including full-stack optimizations, an innovative chip architecture, acceleration libraries, and application development frameworks\u2014and hands-on technical training.\nTake advantage of our comprehensive LLM learning path, covering fundamental to advanced topics featuring hands-on training developed and delivered by NVIDIA experts. You can opt for the flexibility of self-paced courses or enroll in instructor-led workshops to earn a certificate of competency.\nShowcase your Generative AI skills and advance your career by getting certified by NVIDIA. Our new professional certification program offers two developer exams focusing on proficiency in large language models (LLMs) and multimodal workflow skills.\nWhether you\u2019re a data scientist looking to build custom models or a chief data officer exploring the potential of LLMs for your organization, read on for valuable insights and guidance.\nLearn what the most pressing challenges are when doing LLM inference. Get a basic understanding of transformer architecture, the attention mechanism in general, and access to practical solutions.\nSee how NVIDIA NeMo helps organizations streamline the development and deployment of custom LLMs, ultimately facilitating seamless integration of AI capabilities within business operations through NVIDIA AI Enterprise.\nExplore the latest tools, optimizations, and best practices for large language models.\nTap into the power of retrieval-augmented generation (RAG) with insights and best practices from visionary CEOs, data scientists, and others.\nLearn how inference for LLMs is driving breakthrough performance for AI-enabled applications and services.\nDropbox plans to leverage NVIDIA\u2019s AI foundry to build custom models and improve AI-powered knowledge work with the Dropbox Dash universal search tool and Dropbox AI.\nUsing NVIDIA NeMo, Writer is building LLMs that are helping hundreds of companies create custom content for enterprise use cases across marketing, training, support, and more.\nAmdocs plans to build custom LLMs for the $1.7 trillion global telecommunications industry using NVIDIA\u2019s AI foundry on Microsoft Azure.\nStay up to date on the latest breakthroughs and developments, and get notified first when new technologies are available.\nJoin the NVIDIA Developer Program to get access to generative AI tools, AI models, training, documentation, expert forums, and more.\nJoin the NVIDIA Inception program to get access to generative AI resources, preferred pricing, and exposure to venture capitalists at all stages.\nGet immediate access to training and inference tools to make generative AI model development easy, cost-effective, and fast.\nDevelop and deploy generative AI solutions that make better use of your data and produce higher-quality business insights with enterprise-ready retrieval-augmented generation (RAG).\nTalk to an NVIDIA product specialist about moving from pilot to production with the assurance of security, API stability, and support that comes with NVIDIA AI Enterprise.\nAI Sweden facilitated regional language model applications by providing easy access to a powerful 100 billion-parameter model. They digitized historical records to develop language models for commercial use.\nAmazon doubles inference speeds for new AI capabilities using NVIDIA TensorRT-LLM and GPUs to help sellers optimize product listings faster.\nAmdocs plans to build custom LLMs for $1.7 trillion global telecommunications industry using NVIDIA AI foundry service on Microsoft Azure.\nAmazon leveraged the NVIDIA NeMo framework, GPUs, and AWS EFAs to train its next-generation LLM, giving some of the largest Amazon Titan foundation models customers a faster, more accessible solution for generative AI.\nGet access to a complete ecosystem of tools, libraries, frameworks, and support services tailored for enterprise environments on Microsoft Azure.\nBria, a startup based in Tel Aviv, is helping businesses who are seeking responsible ways to integrate visual generative AI technology into their enterprise products with a generative AI service that emphasizes model transparency alongside fair attribution and copyright protections.\nWith NVIDIA NIM and optimized models, Cohesity DataProtect customers can add generative AI intelligence to data backups and archives. This allows Cohesity and NVIDIA to bring the power of generative AI to all Cohesity DataProtect customers. Leveraging the power of NIM and NVIDIA optimized models, Cohesity DataProtect customers obtain the power of data-driven insights from their data backups and archives, unleashing new levels of efficiency, innovation, and growth.\nCrowdStrike and NVIDIA are leveraging accelerated computing and generative AI to provide customers with an innovative range of AI-powered solutions tailored to efficiently address security threats.\nDell Technologies and NVIDIA announced an initiative to make it easier for businesses to build and use generative AI models on premises quickly and securely.\nDeloitte will use NVIDIA AI technology and expertise to build high-performing generative AI solutions for enterprise software platforms to help unlock significant business value.\nWith NVIDIA NeMo, data scientists can fine-tune LLMs in Domino\u2019s platform for domain-specific use cases based on proprietary data and IP\u2014without needing to start from scratch.\nDropbox plans to leverage NVIDIA\u2019s AI foundry to build custom models and improve AI-powered knowledge work with Dropbox Dash universal search tool and Dropbox AI.\nAt its Next conference, Google Cloud announced the availability of its A3 instances powered by NVIDIA H100 Tensor Core GPUs. Engineering teams from both companies have collaborated to bring NVIDIA NeMo to the A3 instances for faster training and inference.\nHugging Face, the leading open platform for AI builders, is collaborating with NVIDIA to integrate NeMo Curator and accelerate DataTrove, their data filtering and deduplication library. \u201cWe are excited about the GPU acceleration capabilities of NeMo Curator and can\u2019t wait to see them contributed to DataTrove!\u201d says Jeff Boudier, Product Director at Hugging Face.\nSouth Korea\u2019s leading mobile operator builds billion-parameter LLMs trained with the NVIDIA DGX SuperPOD platform and NeMo framework to power smart speakers and customer call centers.\nSolution to expedite innovation by empowering global partners and customers to develop, train, and deploy AI at scale across industry verticals with utmost safety and efficiency.\nQuantiphi specializes in training and fine-tuning foundation models using the NVIDIA NeMo framework, as well as optimizing deployments at scale with the NVIDIA AI Enterprise software platform, while adhering to responsible AI principles.\nCustomers can harness their business data in cloud solutions from SAP using customized LLMs deployed with NVIDIA AI foundry services and NVIDIA NIM Microservices.\nServiceNow develops custom LLMs on its ServiceNow platform to enable intelligent workflow automation and boost productivity across enterprise IT processes.\nVMware Private AI Foundation with NVIDIA will enable enterprises to customize models and run generative AI applications, including intelligent chatbots, assistants, search, and summarization.\nWeights & Biases helps teams working on generative AI use cases or with LLMs track and visualize all prompt-engineering experiments\u2014helping users debug and optimize LLM pipelines\u2014as well as provides monitoring and observability capabilities for LLMs.\nUsing NVIDIA NeMo, Writer is building LLMs that are helping hundreds of companies create custom content for enterprise use cases across marketing, training, support, and more.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/design-visualization/solutions/cloud-xr/#features": "Project Aurora simplifies deployment of on-premises XR applications at lab or enterprise scale. Customers are supported by a flexible ecosystem of OEMs, value-added resellers, software integration, and distribution partners to create and deliver custom, certified builds. With the collaboration of NVIDIA Professional Services, the delivery, set up, and start up of these builds is fully managed for the customer.",
    "https://www.nvidia.com/en-us/geforce-now/games/#nav-lvl1-tab4-lvl2-tab1": "GeForce NOW connects to digital PC game stores so you can stream the games you already own.\nNew games are added to our library every GFN Thursday\u2014our dedicated day for highlighting the newest games, features, and news*.\nHere's a look at the games joining the GeForce NOW library in January:\nFarlanders (New Release on Steam) Surviving the Abyss (New Release on Steam) Tortuga - A Pirate's Tale (New Release on Epic Games, Jan. 19) Epistory - Typing Chronicles (New Release on Epic Games, Jan. 19) Absolute Drift (Steam) BLACKTAIL (Steam and Epic Games) Dwarf Fortress (Steam) Hello Neighbor 2 (Steam and Epic Games) NEBULOUS: Fleet Command (Steam) Shadow Tactics - Aiko's Choice (Epic Games Store)\n*Some games listed may not appear until later in the week, including new game launches. You must already own or purchase titles to play them on GeForce NOW. Game availability per device may vary.",
    "https://www.nvidia.com/en-us/geforce/news/dlss-3-ghost-of-tsushima/?nvid=nv-int-drvr-916531": "In the late 13th century, the Mongol empire laid waste to entire nations along their campaign to conquer the East. Tsushima Island is all that stands between mainland Japan and a massive Mongol invasion fleet led by the ruthless and cunning general, Khotun Khan.\nAs the island burns in the wake of the first wave of the Mongol assault, courageous samurai warrior Jin Sakai stands resolute. As one of the last surviving members of his clan, Jin is resolved to do whatever it takes, at any cost, to protect his people and reclaim his home. He must set aside the traditions that have shaped him as a warrior to forge a new path, the path of the Ghost, and wage an unconventional war for the freedom of Tsushima. For the very first time on PC, play through Jin Sakai\u2019s journey and discover the complete Ghost of Tsushima experience in this Director\u2019s Cut.",
    "https://www.nvidia.com/en-us/industries/media-and-entertainment/wpp/#nav-lvl1-tab4-lvl2-tab5": "WPP, the world\u2019s largest marketing communications company, and NVIDIA are collaborating to transform creative and advertising services with generative AI and Omniverse.\nSee how NVIDIA and WPP are transforming advertising production and branded 3D experiences by unifying content creation workflows with NVIDIA OmniverseTM and Universal Scene Description (OpenUSD).\nWPP\u2019s generative AI powered content engine supercharges interactive branded content for marketing and online shopping\nOmniverse Cloud will be available as APIs, extending the reach of the world\u2019s leading platform for creating industrial digital twins across the entire ecosystem of software makers.\nWPP is the first to launch automotive marketing services on NVIDIA Omniverse Cloud, delivering custom 3D content and experiences to the world\u2019s leading automotive brands.\nWPP is building a content engine harnessing NVIDIA AI and Omniverse to enable creative teams to produce high-quality advertising at scale faster and more efficiently, while remaining fully aligned with a client\u2019s brand.\nDENZA, the luxury EV brand joint venture between BYD and Mercedes-Benz, has collaborated with marketing and communications giant WPP and NVIDIA Omniverse Cloud to build and deploy its next generation of car configurator.\nNVIDIA CEO Jensen Huang discussed AI-enhanced creativity in a conversation with Mark Read, CEO of WPP, at the Cannes Lions Festival.",
    "https://www.nvidia.com/en-gb/ai/": "Explore the latest community-built AI models with APIs optimized and accelerated by NVIDIA, then deploy anywhere with NVIDIA NIM.\nIntegrations\nGet up and running quickly with familiar APIs.\nLeverage NVIDIA APIs from your existing SDKs with as little as three lines of code.\nWork with your favorite LLM programming frameworks, including LangChain and LlamaIndex, and easily deploy your applications.\nRun Anywhere\nPart of NVIDIA AI Enterprise, NVIDIA NIM is a set of easy-to-use microservices for accelerating the deployment of foundation models on any cloud or data center and helps keep your data secure.\nGet containerized microservices with NVIDIA NIM to deploy AI models on your local development environment, or fetch Helm charts to orchestrate and auto-scale with any Kubernetes.\nLower the operational cost of running the models in production with AI runtimes that are continuously optimized for performance on NVIDIA accelerated infrastructure.\nRely on production-grade runtimes including on-going security updates and run your business applications with stable APIs backed by enterprise-grade support with NVIDIA NIM.\nHow to Buy\nGet started with easy-to-use, NVIDIA-managed serverless APIs.\nUse NVIDIA NIM to self-host AI models in the cloud or data center of your choice.\nUse Cases\nSee how NVIDIA APIs support industry use cases and jump-start your AI development with curated examples.\nBring game characters to life or create interactive virtual avatars to enhance customer service, empowering your application to connect more deeply with users.\nGenerate highly relevant, bespoke, and accurate content, grounded in the domain expertise and proprietary IP of your enterprise.\nBiomolecular generative models and the computational power of GPUs efficiently explore the chemical space, rapidly generating diverse sets of small molecules tailored to specific drug targets or properties.\nEcosystem\nJoin leading partners to develop your AI applications with models, toolkits, vector databases, frameworks, and infrastructure from our ecosystem.\nResources\nExperience the power of AI with end-to-end solutions through guided hands-on labs for RAG-based chatbots, drug discovery, and route optimizations.\nWhether you\u2019re an individual looking for self-paced training or an organization wanting to bring new skills to your workforce, you can do it with DLI courses for gen AI, data science, and more.\nNVIDIA AI Workbench gives developers the flexibility to run API-enabled models on local or remote GPU-powered containers, allowing for interactive project workflows from experimentation to prototyping to proof of concept.\nExplore technical documentation to start prototyping and building your enterprise AI applications with NVIDIA APIs.",
    "https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-analytics/#nav-lvl1-tab4-lvl2-tab1": "Businesses utilize analytics to understand their data and drive business decisions. While data analytics has unlocked vast potential, traditional CPU-based data processing and analysis have increased overhead and added complexity to business operations, decreasing the return on investment. Accelerated data science ushers in a new era of data analytics, allowing for organizations and practitioners to get the most out of their data and their infrastructure.\nAccelerated data science delivers improvements across the end-to-end data analytics workflow, whether you\u2019re transforming data for enterprise consumption or visualizing terabyte-scale data to understand a particular problem domain. Data practitioners can leverage NVIDIA GPUs with ease using their preferred toolset, bringing the power of high-performance computing to your organization with a minimal learning curve.\nBy harnessing the power of high-performance data analytics, businesses can better serve their customers, develop products faster, and enable innovations across their enterprise.",
    "https://www.nvidia.com/en-us/events/computex/?nvid=nv-int-cwmfg-627085#nav-lvl1-tab4-lvl2-tab3": "In addition to the vibrant exhibition and demonstrations, Marc Hamilton, vice president of solutions architecture and engineering at NVIDIA, will take the stage at the TAITRA forum, a key segment of COMPUTEX dedicated to cutting-edge discussions in technology.\nAs part of the 'Let's Talk Generative AI' forum, Hamilton will present his talk titled 'Infra Build Train Go' on June 5, from 10:00 to 10:30 a.m. at the 701 Conference Room, 7F, Taipei Nangang Exhibition Center Hall 2.",
    "https://www.nvidia.com/en-us/industries/public-sector/": "Accelerating innovation with AI.\nAI is revolutionizing cybersecurity, healthcare, platform sustainment, digital twins, disaster relief, and more in the public sector. Channeling innovation through NVIDIA GPU acceleration and AI technology makes it possible to turn federal datasets into breakthroughs, enabling government leaders to solve their greatest challenges and build solutions that make communities safer and more connected everywhere.\nAccelerate AI pipelines and data processing while substantially lowering infrastructure costs with the NVIDIA RAPIDS\u2122 Accelerator for Apache Spark.\nNVIDIA Omniverse\u2122 Enterprise is an end-to-end collaboration and simulation platform that transforms complex design workflows and creates a more harmonious and efficient environment for dynamic teams.\nCreating more precise training environments.\nLockheed Martin has demonstrated how to reconstruct wildland fire incidents in a 3D space by employing Omniverse Kit, Nucleus, and Universal Scene Description. With reinforcement learning and generative AI, they\u2019re enhancing digital twins for wildland fire management and improving user experiences.\nAccelerating high-compute applications.\nThrough a partner network of system integrators, NVIDIA is bringing size, weight, and power (SWaP)-optimized solutions to the federal and aerospace industries. Application libraries like NVIDIA MatX help developers optimize signal processing algorithms for GPUs, and NVIDIA Holoscan streamlines the transition from the lab to the field with accelerated data movement and computing operations.\nInstantly identifying and remediating threats.\nSpear phishing, a more targeted form of phishing, is very convincing and poses a great risk to government agencies. The NVIDIA Morpheus AI framework can help build accelerated AI pipelines to speed cybersecurity threat detection and detect spear phishing emails with higher accuracy.\nPowering real-time, autonomous tasks.\nAutonomous drones play a crucial role in search-and-rescue, delivery, and inspection missions. The combination of model-based and machine learning methods, along with low-latency sensors allows drones to achieve unprecedented speed and robustness by relying solely on onboard computing.\nAccelerating generative AI adoption in government.\nAs federal agencies embrace AI adoption, generative AI is redefining what\u2019s possible in the public sector. Explore how AI can improve government operations, as well as the opportunities and challenges that generative AI presents to the federal government.\nFueling a new age of innovation.\nThe U.S. government is partnering with NVIDIA and other leading technology companies to harness the power of AI to solve society\u2019s toughest challenges. From challenges within healthcare and sustainability to cybersecurity and connectivity, NVIDIA technology is helping to accelerate our nation\u2019s growth.\nFeatured\nLearn how digital fingerprinting with NVIDIA Morpheus can help organizations more quickly detect and react to cyber threats.\nVideos\nWebinars\nTake a dive into the world of generative AI\u2014the technologies that can generate new content based on a variety of inputs. Learn generative AI concepts, applications, and the challenges and opportunities of this exciting field.\nDiscover how to address cybersecurity as a data science problem by aiming to understand all users and activities across your network. Learn how to build Morpheus pipelines that can process and perform AI-based inference on massive amounts of data in real time.\nGet hands-on experience with NVIDIA Omniverse\u2014the platform for connecting and creating physically accurate, 3D virtual worlds. Learn how to build your own custom scene layout in Omniverse with hands-on exercises in Omniverse Code and Python.\nAccelerating the data processing pipeline can profoundly impact the productivity and outcomes of data science efforts. Explore how to create an end-to-end data processing pipeline for large datasets and scale data science workflows using distributed computing.\nGet access to this hub of news, SDKs, technical resources, and more for developers working in the public sector.\nDiscover the free program designed to help startups evolve faster through access to cutting-edge technology and NVIDIA experts, opportunities to connect with venture capitalists, and co-marketing support.\nLearn from the government institutions and organizations using AI to optimize processes, reduce risk, and power faster decision making.\nAI and machine learning are making it possible to tap into vast amounts of data to analyze financial transactions, streamline operations, quickly identify fraud, and investigate wasteful or unwarranted spending.\nLearn about the Silicon Valley lab that\u2019s simulating and combating forest fires with NVIDIA DGX\u2122 systems and Omniverse\u2122.\nTake a look at the U.S. Postal Service\u2019s Edge Computing Infrastructure Program, which supports dozens of AI use cases running on NVIDIA EGX\u2122-based systems and managed by NVIDIA Triton\u2122 Inference Server.\nAI is a priority for our future, and the U.S. government has a key role in ensuring that there are strong standards for use, data privacy, and information security. It\u2019s important that companies like NVIDIA who are leading the innovation help shape our nation\u2019s path forward.\n\u2013 Suzette Kent, Former Federal Chief Information Officer of the United States\nTo combat the devastating impact wildfires have on our communities and climate, Lockheed Martin and NVIDIA are partnering to support government agencies with the power of AI, equipping fire response teams with greater situational awareness and actionable intelligence.\n\u2013 Steven Walker, Vice President and Chief Technology Officer, Lockheed Martin\nThe importance that the DoD\u2019s data decrees have had on the work and lessons learned during our transformation process is thanks to NVIDIA technology. We have been able to start moving the needle and are able to look at the mission from a data-centric lens, rather than a net-centric view.\n\u2013 David Spirk, Former Chief Data Officer at The Department of Defense\nNVIDIA LaunchPad is a free program that provides users with short-term access to a large catalog of hands-on labs. Enterprises and organizations can immediately tap into the necessary hardware and software stacks to experience end-to-end solution workflows in the areas of AI, data science, 3D design collaboration and simulation, and more.\nFueled by the new NVIDIA Blackwell architecture, the groundbreaking NVIDIA GB200 NVL72 arrives to power a new era of computing and generative AI with unparalleled performance, efficiency, and scale.\nHear from the first customers using NVIDIA Earth-2 cloud APIs, as they leverage AI to accelerate global climate and weather simulations and visualization at a groundbreaking 2-kilometer scale.\nWith NVIDIA Blackwell, NIM microservices, Omniverse Cloud APIs, and more, NVIDIA is bringing a new generation of breakthroughs to the world\u2019s fingertips.\nLearn about AI and high-performance computing (HPC) hardware, software, and networking solutions for government.\nFrom scientific discoveries to artificial intelligence, modern data centers are key to solving some of the world\u2019s most important challenges. The NVIDIA-accelerated computing platform gives data centers the power to accelerate deep learning, machine learning, and HPC workloads.\nGPUs in the cloud provide innovators everywhere with access to massive computing power on demand. Available through every major cloud provider, NVIDIA technology in the cloud lets agencies access GPU capabilities without worrying about setup, upgrade, or management costs; scale as needed to handle demand spikes; and collaborate at unprecedented levels with a smaller headcount.\nNVIDIA\u2019s edge solutions are designed to gather and compute continuous streams of data at the network\u2019s edge. AI computations are performed entirely at the point of action\u2014on streets, in buildings, in parking lots, and at disaster sites\u2013\u2014to deliver real-time insights and notifications. With powerful AI and the NVIDIA EGX edge computing platform, organizations everywhere can make smarter, faster decisions.\nOur experts can help your organization unlock potential and unleash innovation.\nNVIDIA Privacy Policy",
    "https://www.nvidia.com/en-us/industries/telecommunications/ai-factories/#nav-lvl1-tab4-lvl2-tab8": "Protecting data sovereignty with secure AI infrastructure for governments, enterprises, and startups.\nTelecom operators are perfectly positioned to expand their data centers with accelerated computing infrastructure to support sovereign AI models and manufacture intelligence. This new class of data centers, known as AI factories, enhances AI capabilities for local governments, enterprises, and startups. And it allows nations to utilize telecom operators to host their sovereign AI infrastructure for enhanced security, performance, and fine-tuning with local language and cultural standards. NVIDIA is accelerating the development and deployment of AI factories around the world including France, India, Italy, Japan, Singapore, and Switzerland.\nLeading telecom companies Indosat, Singtel, and Telconet are working with NVIDIA to become sovereign \"AI factories\" for governments, enterprises, and startups\u2014enabling them to build and deploy generative AI applications on high-performance, secure infrastructure.\nProvide secure infrastructure for regional AI model development and deployment.\nTelecom operators can use their distributed regional data centers (RDCs) as accelerated computing infrastructure to build, fine-tune, and deploy sovereign AI models. This allows AI models to be aligned with national security interests, reduces inference costs by deploying AI applications to in-region users, and improves energy efficiency of generative AI by using existing compute infrastructure.\nOffer new revenue-generating services at the network edge.\nThe telecoms industry is expanding beyond network connectivity to offer AI-powered applications at the edge. Telcos can leverage the expertise of NVIDIA\u2019s ecosystem of independent software providers to deliver innovative 5G applications, including intelligent video analytics for autonomous shopping, smart traffic monitoring to reduce urban congestion, and immersive 5G extended reality (XR) experiences.\nSingtel and NVIDIA launched a new initiative to provide robust AI infrastructure and cloud services in Singapore and across Asia. This collaboration supports the Singapore government's updated National AI Strategy 2.0 to drive innovation and create new value through AI.\nSwisscom and NVIDIA will build full-stack generative AI supercomputers to establish a trusted AI factory for Swiss customers. Swisscom's secure, high-performance infrastructure enables government, enterprises, and startups to build, host, and deploy sovereign AI.\nNVIDIA is working with Scaleway, a subsidiary of French telecommunications provider iliad Group, to expand access to sovereign accelerated computing in the EU, enabling companies to deploy AI applications and scale up faster.\nNVIDIA and the Tata Group are collaborating to deliver AI computing infrastructure and platforms for developing AI solutions. The collaboration will bring advanced AI capabilities within reach of thousands of organizations, businesses, and AI researchers and hundreds of startups in India.\nNVIDIA and Reliance Industries announced a collaboration to develop India\u2019s own foundation large language model trained on the nation\u2019s diverse languages and tailored for generative AI applications to serve the world\u2019s most populous nation.\nIf telcos start converting network exchanges into compute locations\u2014colocating GPUs and compute at the exchanges\u2014that becomes a goldmine for telcos to enable latency-sensitive AI use cases, such as large language models\u2026 Telcos, with their ownership of server networks and fixed networks, can ensure secure transit of data from one source to the other destination. This plays a critical role in governments adopting AI applications at country scale.\n\u2014 Manoj Prasanna Kumar, Head \u2013 Enterprise Platforms, Singapore Telecommunications Limited (Singtel)\nEveryone talks about generative AI, but the gap between expectations and reality is tremendous. A customer must be sure what happens with its data, where it happens, and how it happens. Switzerland, with its many multinational organizations, needs trusted and unique sovereign building blocks for AI. That\u2019s where we step in. We\u2019re developing it together in a reliable and secure manner, with a distinct Swiss flavor, hand in hand with our collaborator partner, NVIDIA.\n\u2014 Christoph Aeschlimann, CEO, Swisscom\nAt Jio, we\u2019re committed to fueling India\u2019s technology renaissance by democratizing access to cutting-edge technologies, and our collaboration with NVIDIA is a significant step in this direction. Together, we will develop a state-of-the-art AI cloud infrastructure that\u2019s secure, sustainable, and deeply relevant across India, accelerating the nation\u2019s journey toward becoming an AI powerhouse.\n\u2014 Mukesh Ambani, Chairman and Managing Director, Reliance Industries\nOur collaboration with NVIDIA