Databricks Designated Services

This article describes Databricks Designated Services. Designated Services are features in Azure Databricks that process customer content according to geographies to manage data residency. It covers which features are Designated Services and how those features process data in various geographic locations.

Designated Services include:

• Databricks Foundation Model APIs
  • Pay-per-token Foundation Model APIs
  • Provisioned throughput Foundation Model APIs
• Mosaic AI Model Training
• DatabricksIQ-powered features
  • AI-Generated comments
  • Databricks Assistant
  • AI-based autocomplete

To learn more about Azure data residency, see Data residency in Azure.

EU Data boundary

Designated Services for workspaces within the EU Data boundary rely on EU data centers for processing.

Pay-per-token Foundation Model API availability

Foundation Model APIs allow you to access and query a curated set of state-of-the-art open models. Pay-per-token Foundation Model APIs are recommended for getting started with foundation models.

The following table shows the geographic areas that support pay-per-token workloads and where those curated models operate.

Provisioned throughput Foundation Model API availability

Foundation Model APIs allow you to access and query a curated set of state-of-the-art open models. Provisioned throughput Foundation Model APIs are for production foundation model workloads that require performance guarantees.

See the regions available for provisioned throughput workloads.

Mosaic AI Model Training

With Mosaic AI Model Training, you can use your own data to customize a foundation model to optimize its performance for your specific application.

The following table shows the geographic areas that support Mosaic AI Model Training and where those models operate.

AI-based autocomplete availability

AI-based autocomplete provides inline code suggestions as you type in Databricks notebooks, the SQL editor, and the file editor.

The following table shows the geographic areas that support AI-based autocomplete and where those models operate.

Databricks Assistant

Databricks Assistant is an AI-based companion pair programmer and support agent that makes you more efficient when creating notebooks, queries, and files.

AI-generated comments in Unity Catalog tables

You can use Catalog Explorer to add AI-generated comments for any table or table column managed by Unity Catalog. AI-generated comments provide a quick way to help users discover data managed by Unity Catalog.