AI × AEC · CURATED INSIGHT
AWS Batch Adds Quota Management for SageMaker Training
AWS Batch introduces quota management for Amazon SageMaker Training jobs, enabling multi-team resource sharing and automated borrowing or preemption across GPU compute allocations.
AWS announced quota management support within AWS Batch for Amazon SageMaker Training jobs. The feature lets administrators partition compute capacity into quota shares by team or project. Configurable strategies allow teams to reserve, lend, or borrow idle GPU capacity, using automated cross-share and in-share preemption to reclaim resources dynamically.
Key takeaways
- Administrators can configure quota shares with RESERVE, LEND, or LEND_AND_BORROW strategies to balance GPU utilization against team commitments.
- The system supports automated cross-share preemption to reclaim lent instances and in-share preemption to prioritize critical jobs within queues.
Source：AWS Machine Learning Read the original ↗
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