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databricks Platform · Updated Aug 28, 2025

Admins can now manage a workspace's serverless base environments (Public…

Base environments are custom environment specifications for serverless notebooks that define a serverless environment version and a set of dependencies.

Public Preview Open docs ↗release note ↗
What it does

Base environments are custom environment specifications for serverless notebooks that define a serverless environment version and a set of dependencies. Workspace admins can now create and manage the base environments available in their workspace. They can also set a default base environment for all new serverless notebooks.

Why it matters

When a workspace base environment is selected, the pre built cached environment loads quickly, reducing startup time for notebooks and jobs.

Key capabilities
--index-url https://pypi.org/simple
--index-url https://pypi.org/simple
-r "/Workspace/Shared/requirements.txt"
-r "/Workspace/Shared/requirements.txt"
my-library==6.1
my-library==6.1
/Workspace/Shared/Path/To/simplejson-3.19.3-py3-none-any.whl
/Workspace/Shared/Path/To/simplejson-3.19.3-py3-none-any.whl
Architecture
Databricks Platform → Platform
In short

Base environments are custom environment specifications for serverless notebooks that define a serverless environment version and a set of dependencies. Workspace admins can now create and manage the base environments available in their workspace.

Read the full documentation ↗
Key takeaway
Base environments are custom environment specifications for serverless notebooks that define a serverless environment version and a set of dependencies.
2025-08-28-admins-can-now-manage-a-workspace-s-serverless-base-environments-public-preview Generated by the Databricks Updates Agent · browse all updates