Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| 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 |
| Customer-managed keys now support MLflow managed evaluation features Supports MLflow 3 scorers and requires non-CMK encrypted catalog. | 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 19, 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 |
| 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 |
| Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs | |||||
| 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 |
| Store and query MLflow traces in Unity Catalog (Beta) Stores MLflow traces in Delta tables for long-term retention and analysis using OpenTelemetry format. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Jan 26, 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.
- 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.
- Customer-managed keys now support MLflow managed evaluation features
Supports MLflow 3 scorers and requires non-CMK encrypted catalog.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - AI Runtime 1xH100 accelerator (Beta)
Supports 1xH100 accelerator, see Hardware options for details.
- 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Endpoint telemetry for custom model serving endpoints (Beta)
Stores logs, traces, and metrics in Unity Catalog Delta tables using OpenTelemetry.
- Store and query MLflow traces in Unity Catalog (Beta)
Stores MLflow traces in Delta tables for long-term retention and analysis using OpenTelemetry format.
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.