To manage models in Databricks, click Models Icon Models in the sidebar. The Model Registry UI appears.

Model registry

MLflow Model Registry on Databricks is a centralized model repository and a UI and set of APIs that enable you to manage the full lifecycle of MLflow Models.

Databricks also provides Serverless Real-Time Inference and Classic MLflow Model Serving on Databricks, which allows you to host machine learning models from Model Registry as REST endpoints that are updated automatically based on the availability of model versions and their stages.