GLOSSARY TERM
What is Model Registry?
A centralized repository for managing the lifecycle of ML models, including versioning and metadata tracking.
A core component of MLOps, the model registry ensures that teams always know exactly which version of an AI model is deployed in the Private AI inference engine.
Version Control Your AI
Keep track of your training runs, artifacts, and deployed model versions.