AWS Batch adds GPU quota sharing for SageMaker training jobs

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Published Thursday, October 29, 2026 · 1:05 PM EDT

AWS has introduced quota management in AWS Batch for SageMaker Training jobs, allowing administrators to allocate compute capacity by team or project and automatically share idle resources. Teams can reserve their allocation, lend unused capacity, or both lend and borrow. The scheduler reclaims lent resources when the owning team submits work. Administrators can also enable interruption of lower-priority jobs within a team's allocation so higher-priority jobs start sooner. The SageMaker Python SDK supports submitting training jobs to queues configured for quota management. Borrowed capacity can be reclaimed, interrupting jobs; teams seeking fewer interruptions can reserve capacity and disable priority-based preemption.

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