Notebooks UI
Use the Notebooks module to spin up Jupyter notebook instances. Customize resource usage, manage multiple sessions, and stop or delete instances as needed.
1. Main Tab
After selecting Notebooks in the sidebar:

- Create New Notebooks – Start new notebook instances on demand.
- Manage Existing – View CPU, memory, accelerator type, and status for existing notebooks.
2. Creating a Notebook
- Click New Notebook.
- Adjust the notebook settings.

2.1 Basic Settings
- FS Data Volume – Select a File Storage data volume.
- Select Compute Type – Choose the hardware type.
- Accelerator – Choose the GPU type and accelerator count.
2.2 Advanced Settings
- Image – Specify a custom Docker image for the Jupyter environment.
3. Using a Notebook
Select a notebook to open its overview page.

On the overview page, you can see:
- Overview – View a summary of the notebook instance.
- Contents – View the files stored in the attached data volume.
- Logs – View notebook logs by selecting Logs.
- Events – View notebook instance events.
- Settings – Adjust resource settings or delete the notebook.
- Start Notebook / Stop Notebook – Manually start or stop the notebook.
To start a notebook, click Start Notebook.
Note: Starting a notebook may take a few minutes.
Click Open Notebook to launch JupyterLab in a separate browser tab.

4. Notebook Settings

- The available parameters match those shown during notebook setup.
- Click Save to update the instance configuration.
5. Deleting a Notebook
- From the main page, select the notebook you want to delete.
- Open the notebook settings.
- Click Delete Notebook.
- Confirm the deletion.

Note: Running notebooks cannot be deleted.
Next Steps
- Notebook Overview – Explore high-level concepts and benefits of the Notebooks module.
- Resource Allocation – Learn how to configure CPU, GPU, and memory.
- Data Volumes – Create and manage data volumes for your notebooks.
- Job Management – Compare interactive notebooks with scheduled or batch processing workflows.