Dockerfiles for setting up GPUs with NVIDIA CUDA and other machine intelligence packages
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Updated
Dec 13, 2016 - Shell
Dockerfiles for setting up GPUs with NVIDIA CUDA and other machine intelligence packages
Github Actions Runner for training classifiers with CUDA acceleration using nvidia-docker and tensorflow core
Containerized development workflow for the NorLab_MPPI and SNOW_AutoRally projects leveraging nvidia-docker technology. Believe it or not, it's configured for developing with ROS melodic in python 3.6.
An all-in-one mirror for installing NVIDIA Docker.
This repository contains the runpod serverless component of the SDGP project "quizzifyme"
Simple Deep Learning setup for running TensorFlow on Google Cloud GPU machines. It uses prepackaged Docker container maintained by Google for setting up TensorFlow.
A docker container for ccminer
Setup guide for jetson nano
Docker image with NVIDIA drivers for Fedora CoreOS
Template repository for PyTorch, OpenCV and NLOpt development in Visual Studio Code. Includes CUDA support.
The Zabbix LLD template for monitoring nVidia graphics cards.
Run neural style by jcjohnson on AWS g2.2xlarge instances with docker-machine and nvidia-docker
⭐ 🐧 🆕 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
Ubuntu 18.04 + ROS Melodic + Conda in a Docker container with Nvidia acceleration
A collection of dockerfiles for NVIDIA DGX-230 machine.
Scripts to deploy VMs and TensorFlow on Google Cloud.
Add a description, image, and links to the nvidia-docker topic page so that developers can more easily learn about it.
To associate your repository with the nvidia-docker topic, visit your repo's landing page and select "manage topics."