AWS Batch Introduces Quota Management for SageMaker Training Jobs
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On October 30, 2026, the AWS Machine Learning Blog reported that AWS Batch has launched a quota management scheduling feature for resource allocation of SageMaker Training jobs. The feature allows administrators to divide GPU capacity into quota shares by team or project, and supports resource sharing strategies such as RESERVE, LEND, and LEND_AND_BORROW to automatically lend or borrow idle compute across teams, enabling cross-team GPU resource lending, borrowing, and scheduling. This is currently the only public report on the event, with no further updates available.
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- AWS Machine Learning BlogLend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs
AWS Batch has introduced quota management scheduling for SageMaker Training jobs, letting administrators divide GPU capacity into quota shares by team or project and automatically lend or borrow idle compute through resource-sharing policies such as RESERVE, LEND, and LEND_AND_BORROW.
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