OVH AIInstall

Summary

Creates an OVH AI app in the selected cloud project by submitting its name, Docker image, region, and resource settings. Optional fields configure ports, environment variables, scaling, volumes, and a health probe.

Inputs

• Project Name or ID (required) — Cloud project where the app will be created; choose a listed project or provide its ID.
• Name (required) — Name for the AI app.
• Image Name or ID (required) — Docker image to deploy; choose a listed image or provide its ID. Image choices depend on the selected project and region.
• Region Name or ID (required) — Region where the app will be deployed; choose a listed region or provide its ID.
• Resources — Optional CPU core, memory (MB), and GPU unit settings. The request includes a resources object; the UI defaults are 1 CPU, 1024 MB, and 0 GPUs.
• Additional Fields — Optional app settings: default HTTP port, exposed port, partner ID, environment variable name/value pairs, scaling strategy and its fixed replica count or automatic scaling limits/resource/usage target, volumes mounted from object storage with permission and optional prefix, and a probe path, port, and initial delay. The scaling fields are included when a scaling strategy is selected. Volumes map their container and prefix to datastore settings.

Output shape

One or more n8n items containing the OVH API response for the created app.

The request uses POST to the project's AI app endpoint. For each input item, the node returns the response object as an item; if the API response is an array, each element becomes a separate item (string or numeric elements are wrapped as {"value": ...}). Errors stop execution unless Continue On Fail is enabled, in which case an item with an error field is returned.

Links

• n8n community nodes installation guide