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.

A documentation explaining how you can install Docker Nvidia on your offline network to benefit the power of your GPU in your containers.

How to copile OPENCV to use CUDA within a DOCKER image

Use the ZED with Docker

Docker image of Anaconda running in Nvidia CUDA

Unofficial minimal instructions for managing NVIDIA Multi-Instance GPU (MIG) in a docker container

This repository contains the runpod serverless component of the SDGP project "quizzifyme"

Sample YAML file for setting up the NVIDIA driver and NVIDIA device plugin for better scheduling

Prometheus NVIDIA-Docker exporter

Build and run Docker containers leveraging NVIDIA GPUs including fedora 33 rpm build: make fedora33

NVidea CUDA base image on Ubuntu Linux, used to run Machine Learning

FastNode: A Neuro-Graphic Self-Learnable Engine for Cognitive GUI Automation

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

Docker image for running Udacity Deep Learning projects

Docker image of Claymore GPU miner

Docker-in-Docker with NVIDIA GPU support 🐳