hakerdefo

deb https://ftp.debian.org/debian/ bookworm contrib main non-free non-free-firmware
# deb-src https://ftp.debian.org/debian/ bookworm contrib main non-free non-free-firmware

deb https://ftp.debian.org/debian/ bookworm-updates contrib main non-free non-free-firmware
# deb-src https://ftp.debian.org/debian/ bookworm-updates contrib main non-free non-free-firmware

deb https://ftp.debian.org/debian/ bookworm-proposed-updates contrib main non-free non-free-firmware
# deb-src https://ftp.debian.org/debian/ bookworm-proposed-updates contrib main non-free non-free-firmware

deb https://ftp.debian.org/debian/ bookworm-backports contrib main non-free non-free-firmware

arbal

Unbound Cheat Sheet

Installation

$ yum install -y unbound

Setup SSL keys for unbound-control

Birch-san

For CUDA 12, see Installing CUDA 12.1.1 + PyTorch nightly + Python 3.10 on Ubuntu 22.10 for how to install Nvidia driver 530, gcc 12 and CUDA 12.1.1 libraries.
If you want CUDA 11.8, then you can use latest Nvidia driver from Production branch, 525, with gcc 11.

Activate your conda environment, if you haven't done so already.

CUDA 11:
Make sure gcc 11 is the default gcc for your OS, or select gcc 11 explicitly.
CUDA 12:
Make sure gcc 12 is the default gcc for your OS, or select gcc 12 explicitly.
Check CUDA_DIR below points to the CUDA installation you wish to use.

kkirby

/**
 * compile using this:
 *  gcc -framework Carbon -framework Foundation ./hung.m -o hung
 *
 * Referenced from https://apple.stackexchange.com/a/424763/260619
 * Original source code https://github.com/jksoegaard/NonResponding
 * Original Author: jksoegaard
 **/

#import <Foundation/Foundation.h>

jfeilbach

Ubuntu 22.04 Annoyances

Here are a few collected ways I like to customize Ubuntu 22.04 servers. I used to love Ubuntu, but I hate auto updates and snaps. They also put ads and other usless ads diguised as "news" in MOTD. ESM FUD is spread throughout the OS including simple apt functions. You do not need ESM and thus Ubuntu 22.04 has become super annoying. unattended-upgrade is an automatic installation of security (and other) upgrades without user intervention. Consider the ramifications of disabling this service.

Disable unattended upgrades

The Unattended Upgrades feature is enabled by default and it runs at system boot without the user's permission. The configuration is stored in /etc/apt/apt.conf.d/20auto-upgrades

Disable: sudo dpkg-reconfigure unattended-upgrades then a TUI will come up, select "No"

This will not permantently disable the function. After an update it will be enabled. In the file /etc/apt/apt.conf.d/20auto-upgrades change these values from 1 to 0. Even doing this it will

mbrammer

Create croped RTSP live stream from existing RTSP live stream

I needed a croped section of a RTSP live stream from a UniFi Protect camera, since I am filming my yard from a shed and wanted to see a cutout of the front door from my 4K camera.
This article will show you how to enable the RTSP live stream on the UniFi Protect camera, how to setup a streaming server and how to actually execute the processing of the live stream.

Enable UniFi Protect RTSP live stream

The following screenshots are made from UniFi Protect application on version 2.7.18

1. Go to "UniFi devices"
   
2. Click on the desired camera in the camera list

bensig

Option 1 - Use This Bitcoin Fast Sync Command

There is no torrent which would be faster than just using the Bitcoin network "hive" - which is huge. There may be a way to sync using local or low-latency nodes nearby, but any time you specify which nodes you sync from - it introduces risk.

Very good to have a fast CPU and lots of RAM, SSD is not as important as RAM.

With this command I was able to download the entire blockchain and create all indices in almost exactly 24 hours:

bitcoind --datadir=<path-to-external-ssd> -blockfilterindex=1 -txindex=1 -coinstatsindex=1 -dbcache=16384 -daemon If you have 32GB of RAM, you can use 32768 for dbcache

alanzchen

// #popclip extension for ChatGPT
// name: ChatGPT Quick Actions
// icon: iconify:logos:openai-icon
// language: javascript
// module: true
// entitlements: [network]
// options: [{
//   identifier: apikey, label: API Key, type: string,
//   description: 'Obtain API key from https://platform.openai.com/account/api-keys'
// }]

coltonbh

GPU Support For Docker Swarm

Docker compose has nice support for GPUs, K8s has moved their cluster-wide GPU scheduler from experimental to stable status. Docker swarm has yet to support the device option used in docker compose so the mechanisms for supporting GPUs on swarm are a bit more open-ended.

Basic documentation

• NVIDIA container runtime for docker. The runtime is no longer required to run GPU support with the docker cli or compose; however, it appears necessary so that one can set Default Runtime: nvidia for swarm mode.
• docker compose GPU support
• Good GitHub Gist Reference for an overview on Swarm with GPUs. It is a bit dated, but has good links and conversation.
• [Miscellaneous Opt

flaki

Importing a Docker container into Proxmox/LXC

Importing the container

For this we are going to be using lxc-create, which comes pre-installed on Proxmox but needs further dependencies to fetch the OCI images from Docker:

apt update && apt -y install skopeo umoci jq