📄️ Create and Access
An AI Notebook is a Notebook Lab environment running on dedicated GPU hardware. You select a region and a GPU configuration, and the portal provisions the notebook for you.
📄️ Start a Kernel
Inside JupyterLab, creating a notebook means starting a kernel session connected to a compute resource (CPU or GPU). This is separate from provisioning the AI Notebook instance on the portal.
📄️ Connect to a Kernel
To connect or switch kernels, open the kernel configuration menu in the top-right of the notebook IDE.
📄️ Notebook Gallery
Discover the Power of Notebook Gallery in Ai Notebook
📄️ Manage Kernels
Go to Running Kernels / Notebooks in the navigation bar (second icon from the top).
📄️ Managing AI Notebooks
This page explains how to stop, start, and delete an AI Notebook, and how the notebook's status affects billing.
📄️ System Notifications
AI Notebook displays a dynamic banner at the top of the IDE to keep you informed about important updates without disrupting your workflow.