Data Science proto docker
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Updated
Dec 14, 2022 - Dockerfile
NVIDIA Corporation is a company that manufactures graphics processors, mobile technologies, and desktop computers. It is known for developing integrated circuits, which are used in everything from electronic game consoles to personal computers (PCs). The company is a leading manufacturer of high-end graphics processing units (GPUs).
Data Science proto docker
nvidia/cuda based python 3.x images
Run GPU caffe workloads in a container with nvidia-docker
DockerML is a tool that sets up fully-featured environments for experimenting with AI/ML
For docker container containing gpu deep learning environment(keras on tensorflow).
abcdesktop main graphical user container for nvidia GPU
How to build a Docker container with tensorflow, Spyder IDE, jupyter etc. With GPU support !
This repository is a step-by-step guide for using NVIDIA GPU's on Windows (WSL2), Linux (Ubuntu) and MacOs GPU's with TensorFlow flawlessly.
Docker Desktop for Windows + NVIDIA GeForce RTX シリーズの GPU 搭載 PC 向け dlshogi/ふかうら王 JupyterLab 機械学習環境構築サンプル
An Ubuntu 18.04 NVIDIA Docker image with CUDA 10.1 CuDNN 7 with TensorFlow and PyTorch
Isolated DinD (Docker in Docker) container for developing and deploying Docker containers using NVIDIA GPUs and the NVIDIA container toolkit. Useful for deploying the Docker engine with NVIDIA in Kubernetes.
DockerFile with GPU support for TensorFlow and OpenCV
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.
Docker Image for Ubuntu Desktop which support HW GPU accelerated GUI apps. you can access the Container with ssh or remote desktop, just like Cloud VM.
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.
Created by Jensen Huang, Curtis Priem, Chris Malachowsky
Released April 5, 1993