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7 releases of 1321

Last updated 18 hours ago

Release					Date
Git Folder Serverless is in Beta Shares serverless compute and pyproject.toml environment across notebooks and files. #Compute #Git Folders	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Sep 2, 2026
Genie Code for AI Runtime (Public Preview) Generates distributed training code and resolves environment issues. Requires AI Runtime. #Genie Code #Machine Learning	On AWS, read it on their docs	On Azure, read it on their docs	Not on GCP	Unknown on SAP	Aug 27, 2026
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	On AWS, read it on their docs	On Azure, read it on their docs	Not on GCP	Unknown on SAP	Jul 31, 2026
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	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jul 9, 2026
Instance events and instance pools system tables are now available (Public Preview) Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables. #Compute #Platform	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	May 21, 2026
AI Runtime is now in Public Preview Adds GPU support to serverless compute for deep learning workloads. #Machine Learning	On AWS, read it on their docs	On Azure, read it on their docs	Not on GCP	Not on SAP	Mar 19, 2026
Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
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	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Aug 28, 2025

Git Folder Serverless is in Beta
Shares serverless compute and pyproject.toml environment across notebooks and files.

#Compute #Git Folders

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Sep 2, 2026
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 docs Azure, read it on their docsGCP(not on this cloud)SAP(unknown) Aug 27, 2026
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 docs Azure, read it on their docsGCP(not on this cloud)SAP(unknown) Jul 31, 2026
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 docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jul 9, 2026
Instance events and instance pools system tables are now available (Public Preview)
Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables.

#Compute #Platform

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) May 21, 2026
AI Runtime is now in Public Preview
Adds GPU support to serverless compute for deep learning workloads.

#Machine Learning

AWS, read it on their docs Azure, read it on their docsGCP(not on this cloud)SAP(not on this cloud) Mar 19, 2026
Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
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 docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Aug 28, 2025

Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.