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Databricks releases, every cloud

19 releases of 1321

Last updated

  1. Genie Code for AI Runtime (Public Preview)

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

    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.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  3. Thinking Machine Labs Inkling now available as a Databricks-hosted model in Public Preview

    Supports text and image inputs with a 1 million token context window. Access via Foundation Model APIs.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  4. Protobuf tensor input for custom model serving endpoints (Public Preview)

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

  5. Restrict access to AI Functions with Unity Catalog permissions (Public Preview)

    Requires account team enablement, restricts access to task-specific AI Functions.

  6. Managed agent memory is in Beta

    Stores memory in Unity Catalog memory stores, accessed through REST API.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(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. Omnigent coding agent meta-harness is now in Beta

    Wraps coding agents like Claude Code and Codex with a common platform. Swap runtimes with one line of configuration.

  9. 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.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  10. ai_classify and ai_extract now support v2 signatures (Public Preview)

    Supports improved quality and performance with native composability with ai_parse_document.

  11. Classification and Information Extraction are in Public Preview

    Built on v2 signatures of ai_classify and ai_extract, they provide visual UIs for document analysis.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  12. AI Runtime is now in Public Preview

    Adds GPU support to serverless compute for deep learning workloads.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  13. Qwen3-Embedding-0.6B now available in Public Preview as a Databricks-hosted model

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

  14. Managed MCP servers is now Public Preview

    Allows AI agents to connect to Databricks resources and external APIs.

  15. List MCP servers in Azure Databricks Marketplace (Public Preview)

    Allows distribution of AI tools and connection to external data sources, requires provider listing.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  16. List MCP servers in Databricks Marketplace (Public Preview)

    Lets users install MCP servers to connect AI agents to external data sources.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  17. 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.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  18. AI agents: Authorize on-behalf-of-user Public Preview

    Lets agents act as the Databricks user who runs the query for added security.

  19. 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.

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  21. External MCP servers are in Beta

    Enables agent access to external tools, requires connecting to Model Context Protocol servers.

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.