Overview

What is Kubeflow Notebooks?

Kubeflow Notebooks runs interactive development environments for AI, ML, and Data workloads on Kubernetes.

Some key features include:

• Native support for JupyterLab, RStudio, and Visual Studio Code (code-server).
• Users can create notebook containers directly in the cluster, rather than locally on their workstations.
• Admins can provide standard notebook images for their organization with required packages pre-installed.
• Access control is managed by Kubeflow’s RBAC, enabling easier notebook sharing across the organization.

Next steps

• Get started with Kubeflow Notebooks using the quickstart guide.
• Learn how to create your own container images.