https://github.com/trn84/recipe-wizard

A Dockerfile generator for running OpenGL (GLX) applications with nvidia-docker2, CUDA, ROS, and Gazebo on a remote headless server system by using VirtualGL&VNC and Lubuntu Desktop
https://github.com/trn84/recipe-wizard

Last synced: 2 months ago
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A Dockerfile generator for running OpenGL (GLX) applications with nvidia-docker2, CUDA, ROS, and Gazebo on a remote headless server system by using VirtualGL&VNC and Lubuntu Desktop

• Host: GitHub
• URL: https://github.com/trn84/recipe-wizard
• Owner: trn84
• Created: 2020-01-03T12:02:40.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-03-24T22:21:18.000Z (almost 2 years ago)
• Last Synced: 2024-08-03T21:02:37.016Z (6 months ago)
• Language: Shell
• Homepage: https://medium.com/@trn84/running-opengl-cuda-applications-with-nvidia-docker2-on-a-remote-headless-gpu-system-6b19c665286d
• Size: 556 KB
• Stars: 39
• Watchers: 3
• Forks: 8
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-robotic-tooling - recipe-wizard - A Dockerfile generator for running OpenGL (GLX) applications with nvidia-docker2, CUDA, ROS, and Gazebo on a remote headless server system. (Development Environment / Code and Run)
• awesome-robotic-tooling - recipe-wizard - A Dockerfile generator for running OpenGL (GLX) applications with nvidia-docker2, CUDA, ROS, and Gazebo on a remote headless server system (Development Environment / Code and Run)

README

        
# Docker Image Recipe Wizard

## This repository allows you the creation of a docker container that has the following capabilities:

* Running OpenGL accel. applications with nvidia-docker2 on a headless remote server system using cudaGL and VirtualGL.

* Integration of a Lubuntu desktop environment that is accessed by connecting to a TurboVNC with noVNC.

* Including CUDA.

* Including on-demand: CuDNN, ROS, Gazebo, Python Deep-Learning Development, TensorRT.

For a complete guide on how to use this project please follow my medium.com article: https://medium.com/@trn84/running-opengl-cuda-applications-with-nvidia-docker2-on-a-remote-headless-gpu-system-6b19c665286d