OVH AIInstall

Summary

Create an OVH AI notebook in the selected cloud project and region, using the chosen editor, framework, flavor, and resource allocation. Optionally configure access, environment variables, labels, timeout behavior, and mounted object storage volumes.

Inputs

• Project Name or ID (required) — Cloud project to create the notebook in.
• Editor — Notebook editor: Jupyter, JupyterLab (default), or VSCode.
• Notebook Name (required) — Name for the new notebook.
• Region Name or ID (required) — Region where the notebook will be deployed; options load based on the project.
• Framework Name or ID (required) — Framework for the notebook; options load based on project, region, and editor.
• Flavor Name or ID (required) — Notebook flavor; options load based on project and region.
• CPU — CPU cores (default 1; UI range 1–28).
• GPU — GPU units (default 0; UI range 0–4). Sent only when greater than zero.
• Memory (GB) (required) — Memory allocation in GB (default 8); converted to bytes in the API request.
• Additional Fields — Optional settings: authorized IPs and SSH public keys (one per line), custom framework version, environment variable name/value pairs, labels as JSON, timeout in seconds, timeout auto-restart, unsecure HTTP, and object storage volumes with mount path and container. Created volumes use read/write permission.

Output shape

A list of n8n items containing the OVH API response for the created notebook.

The operation sends a POST request for each input item. With Continue On Fail enabled, a failed item is returned as an item containing an error message.

Links

• n8n community nodes installation guide