xpertdev / gpu-jupyter-tensorflow-dotnet

Jupyter docker image with .Net, Tensorflow and GPU support

Tensorflow with GPU, Jupyter & .Net 8.0 on Docker

GPU enabled Jupyter with Tensorflow, Keras, python, and dotnet. This project was inspired by the original jupyter-dotnet

Run options

Without parameters

docker run -it --rm -p 8888:8888 acevpn/gpu-jupyter-tensorflow-dotnet:latest

Run with a volume

Windows: docker run -it --rm -v %cd%:/home/jupyter/work -p 8888:8888 acevpn/gpu-jupyter-tensorflow-dotnet:latest

Linux or MacOS: docker run -it --rm -v $PWD:/home/jupyter/work -p 8888:8888 acevpn/gpu-jupyter-tensorflow-dotnet:latest

Authentication

Different password

docker run -it --env JUPYTER_PASSWORD_HASH=<somehash> -p 8888:8888 acevpn/gpu-jupyter-tensorflow-dotnet:latest

Without password without token

docker run -it --env JUPYTER_NO_PASSWORD=true -p 8888:8888 acevpn/gpu-jupyter-tensorflow-dotnet:latest

GPU support

Verify your nvidia-docker installation

docker run --gpus all --rm nvidia/cuda nvidia-smi

Run with GPU

docker run --gpus all -it --rm -p 8888:8888 acevpn/gpu-jupyter-tensorflow-dotnet:latest

Docker Compose

Customize docker-compose.yml as needed