AWS Machine Learning Blog· Michelle Goodstein·· 6 h ago
Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs
Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs
AI summary
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.
Selection record
Threshold 60Official, first-handFirst 34Second 38
Not admittedSum of both 72 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：AWS Batch与SageMaker训练任务配额管理，属AI/ML基础设施
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com