AWS Batch adds quota management to share GPU capacity across SageMaker Training teams
AIAWS Batch now offers quota management for SageMaker Training jobs, letting administrators divide GPU capacity into quota shares by team or project. Each share sets a resource-sharing strategy (RESERVE, LEND, or LEND_AND_BORROW) and can turn on in-share preemption so higher-priority jobs run first.
Source details
AWS Machine Learning Blog · Michelle Goodstein · aws.amazon.comPublished · added here
Original title: Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs