pyhf Docker images built on Nvidia Container Toolkit enabled base images
-
Updated
Oct 24, 2021 - Shell
pyhf Docker images built on Nvidia Container Toolkit enabled base images
Build with ISAR an evaluation image based on Debian 11 (bullseye) selecting from nVidia GPU support (515.65.07) up to a graphic developing enviroment with the full nVidia software stack (11.7.1) running a standard debian kernel
A lightweight docker container for the SheepIt! render farm with WebUI with CUDA support
Script to change the power state of a Nvidia Card controlled by Bumblebee
Tensorflow object detection docker image
Wrapper scripts to install proprietary NVIDIA drivers on GNU/Linux systems
Optimized versions TensorFlow and TensorFlow-GPU for specific CPUs and GPUs (for both old and new).
Ethereum mining automation on Ubuntu using NVIDIA cards
Building TensorFlow v1.15 from source (for CPU and GPU, Python 3.7).
⭐ 🐧 🆕 GPU Sku usage for Ubuntu 16.04-LTS and CentOS 7.4 , Standard Open Source Scheduler Deployments Torque, SLURM, PBSPro for HPC Skus for CentOS 7.4-HPC with OMS. This is presently on the GAed CentOS-HPC A9/H16R/H16MR and GPU NC6/NC12/NC24 . Latest Docker CE and nvidia-docker present in all. Updating for DIGITS for 2.0 on nvidia-runtime
Example of how to setup a NVIDIA DevContainer with GPU Support for Tensorflow/Keras, that follows the page https://alankrantas.medium.com/setup-a-nvidia-devcontainer-with-gpu-support-for-tensorflow-keras-on-windows-d00e6e204630
Restream live content as HLS using ffmpeg in docker. Also with NVIDIA GPU hardware acceleration.
Add a description, image, and links to the nvidia-cuda topic page so that developers can more easily learn about it.
To associate your repository with the nvidia-cuda topic, visit your repo's landing page and select "manage topics."