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28 releases of 1321

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  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. 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)
  5. Databricks connector for Power Platform is generally available

    Connects Databricks to Power Platform services like Power BI and Power Apps. Requires Databricks account and Power Platform license.

    #Partner Connect
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  6. Use OAuth to authenticate Databricks connections in Power Platform

    Replaces personal access tokens, requires setup in Power Platform.

    #Partner Connect
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. 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)
  9. 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)
  10. Alibaba Cloud Qwen3.5 122B A10B now available as a Databricks-hosted model in Public Preview

    Accessible via Foundation Model APIs, available in Public Preview.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  11. Power BI connections will transition to ADBC Coming soon

    Replaces ODBC, requires manual update for existing connections.

    #Partner Connect
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  12. 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)
  13. 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)
  14. 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)
  15. 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)
  16. Add Azure Databricks Genie MCP server to Azure AI Foundry (Public Preview)

    Enables AI agents to connect to Genie Agents and query data. Requires Azure AI Foundry setup.

    #Genie#Partner Connect
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  17. Connect Genie Agents to Microsoft Copilot Studio (Public Preview)

    Requires Managed MCP Servers preview enabled.

    #Genie#Partner Connect
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  18. Function calling and structured output now available using the Alibaba Cloud Qwen3-Next Instruct model (Beta)

    Supports Qwen3-Next 80B A3B Instruct model.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  19. OpenAI GPT 5 models are now generally available in Mosaic AI Model Serving

    Includes GPT-5 mini and nano models.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Alibaba Cloud Qwen3-Next Instruct now available in Beta

    Supports 80B A3B Instruct in us-west-2 and ap-northeast-1 regions via pay-per-token APIs.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  22. Databricks Connector for Google Sheets offers additional features (Public Preview)

    Saves queries within a Google Sheet spreadsheet for easy data refresh and reuse.

    #Partner Connect
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  23. Improved autoscaling behavior for Mosaic AI Model Serving

    Ignores brief traffic surges, scaling on sustained load increases. Reduces unnecessary concurrency scaling.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  24. Mosaic AI Model Serving now supports OpenAI GPT 5 models (preview)

    Supports GPT-5, GPT-5 mini, and GPT-5 nano models for batch inference with AI Functions.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  25. Anthropic Claude Opus 4.1 now available as a Databricks-hosted foundation model

    Accessible via Foundation Model APIs on a pay-per-token basis.

    #Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  26. Route-optimized endpoints now require route-optimized URL path for querying

    Requires route-optimized URL path for querying, standard workspace URL path not supported for new endpoints.

    #Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  27. Interact with Azure Databricks jobs in a Power Automate flow (Public Preview)

    Adds Azure Databricks job action to Power Automate flows. Requires adding the action to a flow.

    #Partner Connect
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  28. Azure Databricks connector in Microsoft Power Platform is now GA

    Replaces beta version, requires Azure Databricks account.

    #Partner Connect
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  29. Power BI Azure Databricks connector supports M2M OAuth

    Replaces personal access tokens for service principals with Client credentials authentication.

    #Partner Connect
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  30. Power BI Databricks connector supports M2M OAuth

    Replaces personal access tokens for service principals with Client credentials authentication.

    #Partner Connect
    AWS, read it on their docsAzure(not on this cloud)GCP, 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.