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databricks Platform · Updated Aug 13, 2025

Schedule jobs for Serverless GPU compute workloads

You can now create and schedule jobs for your Serverless GPU Compute workloads.

Update Open docs ↗release note ↗
What it does

You can now create and schedule jobs for your Serverless GPU Compute workloads. Public Preview AI Runtime for single node tasks is in Public Preview. The distributed training API for multi GPU workloads remain in Beta.

Why it matters

Reduces operational overhead and unlocks new capabilities for data teams on Databricks.

Key capabilities
name: catalog default: ${var.catalog}
name: catalog default: ${var.catalog}
name: schema default: ${var.schema}
name: schema default: ${var.schema}
environmentkey: default
environmentkey: default
taskkey: notebooktask
taskkey: notebooktask
Architecture
Databricks Platform → Platform
In short

You can now create and schedule jobs for your Serverless GPU Compute workloads. Public Preview AI Runtime for single node tasks is in Public Preview.

Read the full documentation ↗
Key takeaway
You can now create and schedule jobs for your Serverless GPU Compute workloads.
2025-08-13-schedule-jobs-for-serverless-gpu-compute-workloads Generated by the Databricks Updates Agent · browse all updates