The Vertex AI Model Registry is a central repository where you can managethe lifecycle of your ML models. From the Model Registry,you have an overview of your models so you can better organize, track,and train new versions. When you have a model version you would like to deploy,you can assign it to an endpoint directly from the registry,or using aliases, deploy models to an endpoint.

The Vertex AI Model Registry supports custom models and allAutoML data types - tabular and image. TheModel Registrycan also support BigQuery ML models. If you have models trained inBigQuery ML, you can register them with theModel Registry without needing to export them fromBigQuery ML or import them into the Model Registry.

From the model version details page you can evaluate, deploy to an endpoint,set up batch inference, and view specific model details. The Vertex AI Model Registryprovides a straightforward and streamlined interface to manage and deploy yourbest models to production.

Common workflow

There are many valid workflows for working in the Model Registry.To get started, you might want to follow these guidelines to understand what you cando in the Model Registry and at what stage in your model-training journey.

• Import models to the Model Registry.
• Create new models, assign a model version the default alias, ready for production.
• Add other aliases, or labels to help you manage and organize your models and model versions.
• Deploy your models to an endpoint for online inference.
• Run batch inference, and start your model evaluation pipeline.
• View your model details and view performance metrics from the model details page.

To learn more about how to integrate your BigQuery ML models withVertex AI, see theBigQuery ML documentation.

Search and discover models using Dataplex Universal Catalog

Dataplex Universal Catalog is a platform for storing, managing, and accessing yourmetadata. Dataplex Universal Catalog provides a way to searchfor your Vertex AI models across projects and regions.

For more information, seeAbout data catalog management inDataplex Universal Catalog.

What's next

To get started using Vertex AI Model Registry, see:

• Import models to Vertex AI
• Model versioning with Model Registry
• How to use model version aliases
• BigQuery ML and Model Registry
• Copy a model in Vertex AI Model Registry