AWS Batch Adds Quota Management and Preemption for SageMaker
⚙️ AWS Batch now supports quota management with job preemption for SageMaker Training, enabling prioritized GPU allocation and automatic preemption of lower-priority workloads. You can create up to 20 quota shares per job queue and choose resource-sharing strategies, with both cross-share and in-share preemption modes to restore or reallocate borrowed capacity. Capacity utilization is visible at queue, quota share, and job levels, and you can update job priorities after submission and set preemption retry limits. The feature integrates with the SageMaker Python SDK via the aws_batch module and is available in all AWS Regions where AWS Batch is offered; AWS provides an example notebook and user-guide documentation for implementation guidance.
