Note: this appliance is deprecated, and is replaced by the JupyterHub Trovi artifact, which has more functionality and is actively maintained and updated.

JupyterHub is a multi-user Jupyter Notebook environment that allows easy management of multiple Notebook servers. You can install this application on a node reserved by Chameleon to allow you to take advantage of additional resources, e.g. a private experiment network you provide or accelerator devices such as GPUs.

This appliance is exposed over the public internet via a TLS-secured endpoint and supports other users logging in with their Chameleon credentials, so you can choose to share the server with other collaborators if you wish.

What is provided

• one bare metal server provisioned with a default CC-CentOS7 image, on an isolated network
• one Floating IP assigned to the server
• JupyterHub pre-configured for login with Chameleon credentials via a TLS-secured endpoint on its Floating IP address

Supported hardware/OS

Should work without modification on compute_haswell and compute_skylake nodes. Can be launched on GPU nodes at CHI@TACC, though the image should be updated from CC-CentOS7 to CC-CentOS7-CUDA10 (or similar) to ensure that CUDA libraries are included. CentOS is the only supported distribution at the moment.