acevpn/gpu-jupyter-tensorflow-dotnet repository overview

⁠Tensorflow with GPU, Jupyter & .Net 8.0 on Docker

GPU enabled Jupyter with Tensorflow, Keras, python, and dotnet. Source Code⁠

⁠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