(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab R docker images. Please submit Pull Requests to the GitLab repository. Mirror of

(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab Python docker images. Please submit Pull Requests to the GitLab repository. Mirror of

(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab Julia docker images. Please submit Pull Requests to the GitLab repository. Mirror of

(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) R docker images. Please submit Pull Requests to the GitLab repository. Mirror of

(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) MAX/Mojo docker images. Please submit Pull Requests to the GitLab repository. Mirror of

(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) Python docker images. Please submit Pull Requests to the GitLab repository. Mirror of

(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) Julia docker images. Please submit Pull Requests to the GitLab repository. Mirror of

Dockerized Stable Diffusion WebUI (AUTOMATIC1111) with persistent config, extension support, and full compatibility up to NVIDIA 5090 GPUs.

KDE Plasma Desktop container designed for Kubernetes, supporting OpenGL EGL and GLX, Vulkan, and Wine/Proton for NVIDIA GPUs through WebRTC and HTML5, providing an open-source remote cloud/HPC graphics or game streaming platform.

KDE Plasma Desktop container designed for Kubernetes, supporting OpenGL EGL and GLX, Vulkan, and Wine/Proton for NVIDIA GPUs through WebRTC and HTML5, providing an open-source remote cloud/HPC graphics or game streaming platform.

GPU-ready k3d clusters with CUDA + K3s support using Docker and NVIDIA runtime.

(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) Data Science dev containers for R, Python, Julia and MAX/Mojo

Docker container image for Slorado https://github.com/BonsonW/slorado

Selkies NVIDIA GLX Desktop with Steam integration.

DockerizedRecognize (https://github.com/nextcloud/recognize) by marcelklehr (https://github.com/marcelklehr).

Example of usage sherpa-rs in rust with cuda and docker support

JNP is a Docker image designed for developers, featuring preinstalled Java, Node.js, and Python. This image ensures you have these essential programming languages and runtimes, providing a robust and versatile environment for building and testing applications. Ideal for developers who need a reliable and up-to-date development stack.

A docker container, with ffmpeg that supports scale_cuda among other things

Dockerを使ってGPUが必要なPythonプロジェクトのworkspaceを作成する VSCodeのDevContainerとは関係ありません