Features with limited regional availability

This article lists features with availability differences by region.

Note

Some features are not included in the tables below. These features, known as Designated Services, use Geographies to manage data residency when processing customer content. A Geo is a group of data center regions that Databricks uses to provide predictability and transparency regarding where your data is processed.

The following tables list support for features that are only available on a subset of Azure regions. The tables indicate whether or not a region supports each of these features. If a feature is supported in all regions, it is not included.

System tables availability

The following table shows supported regions for system tables.

Region Location System tables
chinaeast2 ChinaEast2
chinaeast3 ChinaEast3
chinanorth2 ChinaNorth2
chinanorth3 ChinaNorth3

Serverless availability

The following table shows supported regions for these serverless compute features that have limited availability:

  • Serverless compute : Notebooks, jobs, pipelines, and SQL warehouses

  • Serverless workspaces (Private Preview)

  • Default storage

  • Mosaic AI Model Training - forecasting

  • Serverless private connectivity

  • Databricks Apps

  • Managed connectors in Lakeflow Connect

Region Location Serverless compute for notebooks, jobs, pipelines, and SQL warehouses Serverless workspaces Default storage Private connectivity Managed connectors in Lakeflow Connect Databricks Apps Mosaic AI Model Training - forecasting
chinaeast2 ChinaEast2
chinaeast3 ChinaEast3
chinanorth2 ChinaNorth2
chinanorth3 ChinaNorth3

AI and machine learning features availability

The following table shows supported regions for these AI and machine learning features that have limited availability:

  • Predictive optimization

  • Vector Search

  • Mosaic AI Agent Framework and Agent Evaluation

  • Foundation Model Fine-tuning

  • AI Functions using Foundation Model APIs

  • Databricks Data Quality Monitoring

Region Location Vector Search Predictive Optimization Mosaic AI Framework and Evaluation Foundation Model Fine-tuning AI Functions optimized for batch inference Lakehouse monitoring
chinaeast2 ChinaEast2
chinaeast3 ChinaEast3
chinanorth2 ChinaNorth2
chinanorth3 ChinaNorth3

Model serving features availability

The following table shows supported regions for these Mosaic AI Model Serving capabilities and features that have limited availability:

  • Core Model Serving

  • Foundation Model API pay-per-token

  • Foundation Model API provisioned throughput

  • External models

Region Location Core Model Serving capability (CPU serving) Core Model Serving capability (GPU serving) External models Foundation Model APIs (provisioned throughput) ** Foundation Model APIs (pay-per-token)
chinaeast2 ChinaEast2
chinaeast3 ChinaEast3
chinanorth2 ChinaNorth2
chinanorth3 ChinaNorth3

** Includes GPU support

† Region supported only when cross geography routing is enabled. Foundation Model API workloads that rely on GPU compute availability, such as workloads that use models from the Meta Llama family, require cross geography routing.

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