OVH AIInstall

Summary

Create an OVH AI training job in the selected cloud project and region, using the specified Docker image and optional compute, command, environment, timeout, partner, and volume settings. The node sends a POST request to OVH and returns the API response as workflow output.

Inputs

• Project Name or ID (required) — Cloud project to create the job in; select a listed project or enter its ID.
• Name (required) — Training job name.
• Image (required) — Docker image for the job.
• Region Name or ID (required) — Region where the job will run; options are loaded for the selected project.
• Resources — Optional CPU core count, memory allocation in MB, and GPU unit count. CPU defaults to 1 and GPU to 0; memory is included only when set to a truthy value.
• Additional Fields — Optional command, environment variables, partner ID, timeout in seconds, and volumes. Environment variables are sent as a name-to-value object; entries without both a name and value are omitted. Each volume supplies a mount path and size in GB.

Output shape

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

Array responses are emitted as separate output items; scalar array elements are wrapped as {"value": ...}. With Continue On Fail enabled, an item error is returned as {"error": "..."}. The request uses the required ovhApi credential.

Links

• n8n community nodes installation guide