Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| Genie Code for AI Runtime (Public Preview) Generates distributed training code and resolves environment issues. Requires AI Runtime. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Aug 27, 2026 |
| Web terminal on serverless GPU compute (AI Runtime) is in Public Preview Runs shell commands, monitors GPU usage, and manages files on serverless GPU compute. Requires environment version 5 or above. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Jul 31, 2026 |
| Genie Agents enhancements Genie Agents now group SQL expressions with example queries, and open in chat or workspace UI based on privileges. | Not on AWS | On Azure, read it on their docs | Not on GCP | Not on SAP | Jul 9, 2026 |
| Custom Docker images for AI Runtime CLI workloads (Beta) Allows custom system library versions and complex dependencies, requires setup via Use custom Docker images. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Not on SAP | Jun 29, 2026 |
| AI Runtime CLI (Beta) Submits and manages distributed training workloads on serverless GPU compute from a local machine. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Not on SAP | Jun 12, 2026 |
| Serve custom LLMs with Custom Model Serving (Beta) Supports multimodal models and PEFT recipes, unlike Foundation Model APIs. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Not on SAP | May 20, 2026 |
| Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs | |||||
| AI Runtime 1xH100 accelerator (Beta) Supports 1xH100 accelerator, see Hardware options for details. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Not on SAP | Apr 21, 2026 |
| AI Runtime is now in Public Preview Adds GPU support to serverless compute for deep learning workloads. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Not on SAP | Mar 19, 2026 |
| Declarative Feature Engineering APIs (Beta) Define time-windowed aggregation features from data sources, materialize to Delta tables or Lakebase. Available in us-east-1 and us-west-2 regions. | On AWS, read it on their docs | Not on Azure | Not on GCP | Not on SAP | Mar 9, 2026 |
| Endpoint telemetry for custom model serving endpoints (Beta) Stores logs, traces, and metrics in Unity Catalog Delta tables using OpenTelemetry. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Not on SAP | Mar 6, 2026 |
| Partner-powered AI features are now supported in the Canada, Brazil, and United Kingdom Azure Geographies Uses models hosted in the same Azure Geography as the workspace, requires cross-geo processing for some features. | Not on AWS | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Feb 4, 2026 |
| Genie Agents are now available in the Japan and Korea Azure Geographies Workspaces no longer require cross-Geo processing to use Genie Agents. | Not on AWS | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Feb 2, 2026 |
| Regional model hosting for Genie Agents in Japan and Korea Models are now hosted locally in Tokyo and Seoul, eliminating cross-Geo processing for Genie Agents. | On AWS, read it on their docs | Not on Azure | Not on GCP | Unknown on SAP | Feb 2, 2026 |
| Genie Agent (formerly Genie Space) and Databricks Assistant on Databricks on AWS GovCloud GA Genie Agent and Databricks Assistant are now available on Databricks on AWS GovCloud. | On AWS, read it on their docs | Not on Azure | Not on GCP | Unknown on SAP | Jan 15, 2026 |
- Genie Code for AI Runtime (Public Preview)
Generates distributed training code and resolves environment issues. Requires AI Runtime.
- Web terminal on serverless GPU compute (AI Runtime) is in Public Preview
Runs shell commands, monitors GPU usage, and manages files on serverless GPU compute. Requires environment version 5 or above.
- Genie Agents enhancements
Genie Agents now group SQL expressions with example queries, and open in chat or workspace UI based on privileges.
- Custom Docker images for AI Runtime CLI workloads (Beta)
Allows custom system library versions and complex dependencies, requires setup via Use custom Docker images.
- AI Runtime CLI (Beta)
Submits and manages distributed training workloads on serverless GPU compute from a local machine.
- Serve custom LLMs with Custom Model Serving (Beta)
Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- AI Runtime 1xH100 accelerator (Beta)
Supports 1xH100 accelerator, see Hardware options for details.
- AI Runtime is now in Public Preview
Adds GPU support to serverless compute for deep learning workloads.
- Declarative Feature Engineering APIs (Beta)
Define time-windowed aggregation features from data sources, materialize to Delta tables or Lakebase. Available in us-east-1 and us-west-2 regions.
- Endpoint telemetry for custom model serving endpoints (Beta)
Stores logs, traces, and metrics in Unity Catalog Delta tables using OpenTelemetry.
- Partner-powered AI features are now supported in the Canada, Brazil, and United Kingdom Azure Geographies
Uses models hosted in the same Azure Geography as the workspace, requires cross-geo processing for some features.
- Genie Agents are now available in the Japan and Korea Azure Geographies
Workspaces no longer require cross-Geo processing to use Genie Agents.
- Regional model hosting for Genie Agents in Japan and Korea
Models are now hosted locally in Tokyo and Seoul, eliminating cross-Geo processing for Genie Agents.
- Genie Agent (formerly Genie Space) and Databricks Assistant on Databricks on AWS GovCloud GA
Genie Agent and Databricks Assistant are now available on Databricks on AWS GovCloud.
Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.