Skip to content

Databricks releases, every cloud

All GAPreviewBehavior changeDeprecationUpdate

8 releases of 1321

Last updated

  1. Genie Code for AI Runtime (Public Preview)

    Generates distributed training code and resolves environment issues. Requires AI Runtime.

    #Genie Code#Machine Learning
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  2. 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.

    #Compute#Machine Learning
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  3. Protobuf tensor input for custom model serving endpoints (Public Preview)

    Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026.

    #Machine Learning#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  4. App telemetry for Databricks Apps is now in Public Preview

    Collects traces, logs, and metrics via OpenTelemetry protocol to Unity Catalog tables.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  5. AI Runtime is now in Public Preview

    Adds GPU support to serverless compute for deep learning workloads.

    #Machine Learning
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  6. Tag Databricks Apps (Public Preview)

    Organize and categorize apps, but search is not supported.

    #Databricks Apps#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Configure compute size for Databricks Apps (Public Preview)

    Controls CPU, memory, and cost based on workload requirements.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  9. Admins can now manage a workspace's serverless base environments (Public Preview)

    Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.

    #Notebooks#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)

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.