How to Create a Notebook
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.
Create a CPU notebook
- In the Launcher, click the + button.
- Choose CPU Notebook.
Once ready, the status bar at the bottom shows CPU (free) | idle.
Create a GPU notebook
- Ensure your Workspace has enough credits to cover at least one hour of GPU cost.
- In the Launcher, choose a notebook with your preferred GPU (e.g. 1× GPU H100 SXM5).
- Click Confirm on the confirmation dialog.
- Wait 1–2 minutes for the notebook to be ready.
Once ready, the status bar shows GPU flavor name | idle.
Idle behavior and auto-shutdown
AI Notebook automatically disconnects idle sessions to prevent unexpected charges.
| Trigger | Idle threshold | What happens |
|---|---|---|
| GPU Kernel idle | 30 minutes of no code execution | Kernel is automatically disconnected. |
| Lab Environment idle | 1 hour of no interaction (no typing, clicking, or tab switching) | Lab is automatically deleted to free resources. |
If the lab is deleted due to idleness, your saved files remain in persistent storage. Only unsaved work (in-memory variables, unsaved editor buffers) is lost. Save frequently.
Billing
Billing for the GPU instance starts the moment the notebook on the portal reaches Running — not when you start a kernel session inside JupyterLab. It stops only when you explicitly stop the notebook from the portal, not when you close the browser or log out.