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AIConfigurator: Fast-Track Your LLM Deployment on NVIDIA Dynamo

What is NVIDIA Dynamo?

NVIDIA Dynamo is a high-throughput, low-latency inference framework for serving generative AI models across multi-node GPU clusters. As LLMs grow beyond what a single GPU can handle, Dynamo solves the orchestration challenge of coordinating shards, routing requests, and transferring KV cache data across distributed systems.

Key capabilities:

Disaggregated serving — Separates prefill and decode phases for optimized GPU utilization
KV-aware routing — Routes requests to workers with the highest cache hit rate
KV Block Manager — Offloads KV cache to CPU, SSD, or remote memory (G2/G3/G4) for higher throughput

10.7 (Lion)

https://swscan.apple.com/content/catalogs/others/index-lion-snowleopard-leopard.merged-1.sucatalog

10.8 (Mountain Lion)

10.9 (Mavericks)

Pure ESM package

The package that linked you here is now pure ESM. It cannot be require()'d from CommonJS.

This means you have the following choices:

Use ESM yourself. (preferred)
Use import foo from 'foo' instead of const foo = require('foo') to import the package. You also need to put "type": "module" in your package.json and more. Follow the below guide.
If the package is used in an async context, you could use await import(…) from CommonJS instead of require(…).
Stay on the existing version of the package until you can move to ESM.

I found a way to run llama.cpp with GPU support on my 2019 Intel MacBook Pro, with the help of Vulkan.

Thanks to ollama/ollama#1016 (comment) an following comments which helped me find the right build flags.

First download MoltenVK-macos.tar (I used v1.3.0-rc1 at the time) from https://github.com/KhronosGroup/MoltenVK/releases

Not sure all these packages are required, but I ran brew install libomp vulkan-headers glslang molten-vk shaderc vulkan-loader. You probably also need to install cmake and potentially other tools I already had installed on my system.

Then clone and build llama.cpp (replace /path/to/MoltenVK_macos with the actual path you have MoltenVK_macos):

A Guide to Setting up Sidestore + LiveContainer

Works on the latest iOS versions, including iOS 26 db8.

Hello r/sideloaded!

After the mass revocation wave I decided to make this guide to help people sideload apps using an alternative method. A method that is 100% revoke free, costs nothing, and requires a computer only one time (for initial setup)!

After following this guide you will not need to worry about the 3 app limit OR refreshing every 7 days. You will be able to install as many apps as you want and they should not ever expire. This is a completely free method.

Here is what we will go over in this guide:

i took some information from the official docs of Zen Browser: here

You wanna change computer, or installing another OS, but Zen Browser doesn't save all the Pinned Tabs and Essentials that will surely be really tedious to setup all over again??

Worries not, I've got you covered!

1. locate your profile folder

go to about:profiles (type it into your address bar)
find your profile and look for the Root Directory

原文：Python开发者

这篇文章的作者名叫刘善国。他此前在工厂工作，去年10月开始Python Web的学习，前不久成功拿到上海某互联网公司的 Python 工程师 offer，顺利完成转岗 🚀

虽然是职场新人，但善国同学已经成为了一名 PyCharm 老司机，在这里分享下工作中最常用的 PyCharm 使用技巧。

# 0. PyCharm 常用快捷键

Here's my AGENTS.md (also linked from CLAUDE.md as @AGENTS.md) for hacking agentically on MDFlow recipes.

I have this in ~/.mdflow/, and the agents/recipes live in ~/.mdflow/agents/ and added to the path so that they can be invoked as commands.

With this I can use a coding agent like Claude Code or GitHub Copilot in VSCode and say something like:

> create a new agent using copilot that reviews all the code files in this directory as a poem

	10.3 (Panther):
	https://swscan.apple.com/scanningpoints/scanningpointX.xml

	10.4 (Tiger):
	https://swscan.apple.com/content/catalogs/index.sucatalog
	https://swscan.apple.com/content/catalogs/index-1.sucatalog

	10.5 (Leopard):
	https://swscan.apple.com/content/catalogs/others/index-leopard.merged-1.sucatalog

	This guide provides ready-to-use Postman examples for interacting with Docker Model Runner's REST API endpoints.
	🔧 Base URL Configuration

	The base URL depends on your Docker environment and access method:
	Docker Desktop

	From containers: http://model-runner.docker.internal/
	From host (TCP): http://localhost:12434/ (requires TCP host access enabled)

	📋 Prerequisites