Dedicated Jupyter Servers

The default Jupyter environment available to all Chameleon users is a bit limited: you are working within a shared environment and as such there are some practical limitations around the amount of CPU cores and memory you can utilize. More intensive analytical workflows may function better from within a dedicated Jupyter server for use by you and/or other members of your project.

Trovi provides a JupyterHub appliance you can instantiate on Chameleon. For a detailed walkthrough, see our blog post Running experiments inside a Jupyter Notebook.