AWS Batch launches quota management for SageMaker training jobs
What happened
On 30 October 2026, the AWS Machine Learning Blog reported that AWS Batch has launched quota management for SageMaker Training jobs. Administrators can allocate quota shares by team or project and, through three resource-sharing policies — RESERVE, LEND and LEND_AND_BORROW — automatically lend or borrow idle GPU capacity to support borrowing and lending of GPU resources between teams. The feature has only just been released, and the report does not mention further developments.
Written by AI from the reports · updated 2 h ago
Timeline
Follow the reports to see the event from each side.
- AWS Machine Learning BlogLend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs
AWS Batch quota management is a new scheduling capability you can use to divide GPU capacity into quota shares per team or project, automatically lend idle capacity across shares, and use preemption to run your highest-priority SageMaker Training jobs first, all without manual coordination.
Heat of this event
Not enough continuous observations yet to draw a trend.