Unified model storage & versioning
Every model version is tracked with an ID and tag, making it simple to organize across development, staging, and production.

Every model version is tracked with an ID and tag, making it simple to organize across development, staging, and production.
Deploy any model version to an Ori Inference Endpoint in one click, whether on Ori Cloud or if you are using Ori AI Fabric to power your own cloud.
Local model caching based on hardware and location accelerates load times and reduces friction.

Models trained or fine-tuned on Ori's cloud or our platform land in the Registry, ready for deployment to Endpoints, Kubernetes, or any runtime—versioned, governed, and production-ready.

Designed for simplicity, Model Registry is easy to set up and maintain for your entire team, and needs no DevOps expertise. Additionally, it is tightly integrated with the Ori platform, making your ML workflows truly end-to-end.