We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.
-
Updated
Sep 8, 2019 - Dockerfile
We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.
A repository of docker-compose yaml files for all kinds of deployments
Dockerfiles and manual for easy build of docker image with CUDA10.X and cuDNN7.6 to run TensorFlow/PyTorch on the nvidia GPU in docker-container.
A collection of Docker compose scripts centered around use in a home lab for learning IT technologies.
An Ansible role to deploy a docker environment on specific linux systems (with some extras like ctop, docker-compose, GPU support in docker for Nvidia graphic cards)
Reproducible Docker + NVIDIA GPU setup on Ubuntu for CUDA and PyTorch workloads. Covers NVIDIA Container Toolkit, GPU passthrough, explicit CUDA verification, and debuggable container workflows. Designed for correctness, reproducibility, and ML infrastructure work.
Add a description, image, and links to the docker-gpu topic page so that developers can more easily learn about it.
To associate your repository with the docker-gpu topic, visit your repo's landing page and select "manage topics."