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15 releases of 1321

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  1. Base environments are now supported on classic compute (Beta)

    Manages Python dependencies using Databricks-provided or custom environments.

    #Compute#Notebooks
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Default Python package repositories are GA for Lakeflow pipelines and classic compute

    Supports private or authenticated registries as workspace defaults. Applies to UI and API created classic compute.

    #Compute#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. Manage project environments with %uv commands

    Requires environment version 5 or above. Supports serverless notebooks.

    #Compute#Notebooks
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. Target an Azure capacity reservation group for classic compute

    Requires VNet injection, guarantees compute capacity for constrained VM types.

    #Compute
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  5. Serverless compute is now available in the Azure UK West region

    Supports notebooks, jobs, pipelines, and SQL warehouses, with private connectivity.

    #Compute#Networking
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP, read it on their docs
  6. Schedule deferred policy enforcement for all-purpose compute

    Applies on next restart or immediately, and admins can cancel scheduled enforcements.

    #Compute
    AWS, read it on their docsAzure, read it on their docsGCP, 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. 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)
  9. Databricks Container Services for standard compute is now available (Beta)

    Requires Databricks Runtime 18.3 or later, allows custom Docker images in shared compute.

    #Compute
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  10. 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)
  11. 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)
  12. Configure compute to use AWS Capacity Blocks

    Replaces on-demand instances, requires AWS account setup.

    #Compute
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  13. 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)
  14. 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)
  15. 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)
  16. 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)

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.