RAPIDS Notebook Workspace¶

The RAPIDS Notebook Workspace is a custom JupyterLab environment integrated within AAW. From the workspace, users can import, create, and develop Jupyter notebooks directly on top of the data necessary for machine learning workflows; monitor GPU processes and hardware; interact with and track in-depth Python workflow analytics; and much more.

Prerequisites¶

At least 1 GPU must be available to start a RAPIDS Notebook Workspace session (Kubernetes uses 1 GPU)

Note

KAgent can reserve GPUs specifically for AAW use.
If using RAPIDS functionality, the RAPIDS-specific prerequisites must also be met

Overview¶

Once a RAPIDS Notebook Workspace session has been launched, a JupyterLab interface will become available via the RAPIDS top menu option in AAW. The stock JupyterLab interface has been modified to include a custom side-menu to help navigate the most important functionality in RAPIDS Notebook Workspace:

File Browser -- Displays all files and directories that have been uploaded to or created in this RAPIDS Notebook Workspace session. You can create files and directories or upload new files from this tab as well.
Open Sessions -- Displays all open terminal and kernel sessions. Click SHUT DOWN to shut down any active session.

Tip

Closing a tab in the main display port on the right will not shut down that session.
GPU -- Provides access to several GPU dashboards that offer graphs and analytics on GPU hardware statistics.
Dask -- Provides access to a custom Dask interface tailored to AAW and the RAPIDS Notebook Workspace. A cluster must be created before any Dask dashboards or analytics can be displayed. Review the Dask documentation for more information on Dask functionality.
Commands -- Lists many useful commands for the entire RAPIDS Notebook Workspace. Click a command to run it. Type into the Search field to search for a particular command.
Notebook Tools -- Provides access to notebook-wide tools and metadata.
Tabs -- Lists open tabs