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AWS Shows How Teams Can Share SageMaker Training Quotas Through AWS Batch

1 reports 1 reporting sources 2 hours agoNew

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AWS published a walkthrough for configuring AWS Batch quota sharing for SageMaker Training jobs using the SageMaker Python SDK v3, showing how teams can lend, borrow and reclaim capacity and prioritize training work. The walkthrough configures three quota shares with LEND_AND_BORROW, LEND and RESERVE strategies, then demonstrates how cross-share preemption reclaims lent capacity. It also shows how changing a submitted job’s priority can trigger in-share preemption so higher-priority work runs sooner.

Generated by AI from reports · Updated 2 hours ago

Latest development10/30 00:58 (UTC+8)
Configure AWS Batch quota sharing for SageMaker Training jobs across teamsAWS Machine Learning Blog

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    Configure AWS Batch quota sharing for SageMaker Training jobs across teams

    AWS explains how to configure quota management for SageMaker Training jobs using AWS Batch and the SageMaker Python SDK v3. The walkthrough sets up three quota shares with LEND_AND_BORROW, LEND, and RESERVE strategies, then demonstrates reclaiming lent capacity through cross-share preemption. It also shows how updating a submitted job’s priority can trigger in-share preemption so higher-priority work runs sooner.

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