Graded B+ on resilience. In Vannus's assessment it has not disclosed which model it runs — resilient — owns model IP or routes across providers.
Serverless inference API from OVHcloud serving over 40 open-source generative models (Llama, Qwen, DeepSeek, plus voice, document and image analysis) through standard OpenAI-compatible endpoints. Vendor states "Your data will never be used to train or improve our AI models" and operates "Zero data retention: We keep only the data required for billing purposes." OVHcloud's corporate newsroom states
Not disclosed. OVHcloud AI Endpoints does not publish which model it runs, so this criterion is excluded and the grade rests on what we could verify. We say so rather than guess.
This is a separate question from the grade above. The grade measures resilience — whether the tool endures and whether you could leave it. This measures who can compel your data. A tool can score modestly on one and strongly on the other, and many do.
The vendor's published or catalog-recorded posture — the concrete facts this grade is built from. A full audit verifies each against the vendor's current documentation.
Vannus grades OVHcloud AI Endpoints against nine dimensions of trust — data sovereignty, training privacy, compliance posture, operational resilience, exit portability, and more. The heaviest criterion asks whether the tool builds its own AI or resells someone else's model; where the vendor discloses it, the grade cites the vendor's own documentation. No paid placements — scoring is walled off from affiliate revenue. See the methodology →