This repository helps run Jupyter notebook on Kubernetes environment.
For now it supports
-
Staroid cloud
-
Minikube (for local development)
- Jupyter Lab
- NVIDIA GPU, CUDA support
- Dask dynamic cluster (work in progress)
- MLflow server integration
- Persistent storage for
~/work
- Run on the cloud in a few clicks, no setup required!
- How Open Data Studio Jupyter notebook connects MLflow server - step by step instruction how to use with Jupyter notebook and how it works underneath.
Run locally with skaffold command.
$ skaffold dev --port-forward -p minikube
and browse http://localhost:8888
- Docker image is built based on https://github.com/jupyter/docker-stacks and https://github.com/iot-salzburg/gpu-jupyter