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 |
| Agentic code converter is in Beta Converts T-SQL, Snowflake, and other dialects to ANSI SQL. Requires workspace admin enablement. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | Jul 16, 2026 |
| Protobuf tensor input for custom model serving endpoints (Public Preview) Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | 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 |
| Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs | |||||
| Instance events and instance pools system tables are now available (Public Preview) Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | May 21, 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 |
| 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 |
- 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.
- Agentic code converter is in Beta
Converts T-SQL, Snowflake, and other dialects to ANSI SQL. Requires workspace admin enablement.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Protobuf tensor input for custom model serving endpoints (Public Preview)
Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Instance events and instance pools system tables are now available (Public Preview)
Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Serve custom LLMs with Custom Model Serving (Beta)
Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.
- 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.
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.