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22 releases of 1321

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  1. Genie Code adds conversation controls

    Lets you fork conversations, use /btw for side questions, and edit earlier messages.

    #Genie Code
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Genie Code scheduled tasks are now generally available

    Runs prompts on a recurring schedule, producing a continuable Genie chat with results.

    #Genie Code
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. Genie Code scheduled tasks will soon be available by default for workspaces with the compliance security profile enabled Coming soon

    Replaces manual runs of recurring analysis tasks. Available in October 2026.

    #Genie Code#Security
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. 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)
  5. Genie Code is now available as a Lakeflow Jobs task (Beta)

    Runs prompts autonomously, reading upstream outputs and calling tools as needed, returning a conversation link.

    #Genie Code#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  6. Choose an effort level in Genie Code

    Sets balance between response quality and cost, defaults to Auto for highest quality.

    #Genie Code
    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. Genie Code supports file uploads

    Uploads are used as chat context, see Attach files for details.

    #Genie Code
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  9. Genie Code web search is in Beta

    Searches the public web for current info, disabled by default.

    #Genie Code
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  10. Full page Genie Code is now generally available

    Runs multiple chats in parallel, with notebooks and files as tabs.

    #Genie Code
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  11. 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)
  12. Genie Code scheduled tasks are in Beta

    Runs prompts on a recurring schedule, producing a continuable Genie chat with results.

    #Genie Code
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  13. 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)
  14. Custom Docker images for AI Runtime CLI workloads (Beta)

    Allows custom system library versions and complex dependencies, requires setup via Use custom Docker images.

    #Machine Learning
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  15. Genie Code system table now counts only user-submitted interactions

    Excludes background and automated requests, such as autocomplete and quick-fix suggestions.

    #Genie Code
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  16. AI Runtime CLI (Beta)

    Submits and manages distributed training workloads on serverless GPU compute from a local machine.

    #Machine Learning
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  17. Genie Code now uses models served through OpenAI on Databricks

    Adds OpenAI to existing Azure OpenAI and Anthropic models.

    #Genie Code
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  18. Serve custom LLMs with Custom Model Serving (Beta)

    Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.

    #Machine Learning#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  19. AI Runtime 1xH100 accelerator (Beta)

    Supports 1xH100 accelerator, see Hardware options for details.

    #Machine Learning
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. 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)
  22. Some partner-powered AI features are now available in-country for Brazil, Canada, Japan, Korea, Singapore, and the UK

    Requires Enforce data processing within workspace Geography enabled. Data does not leave the country.

    #AI/BI#Genie Agents#Genie Code
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  23. 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.

    #Machine Learning
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(not on this cloud)
  24. Endpoint telemetry for custom model serving endpoints (Beta)

    Stores logs, traces, and metrics in Unity Catalog Delta tables using OpenTelemetry.

    #Machine Learning#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)

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.