AWS Batch now supports quota management and preemption for SageMaker Training jobs

AWS Batch Quota Management with Job Preemption for SageMaker Training Jobs

AWS Batch now supports quota management with job preemption for SageMaker Training jobs, allowing efficient allocation and sharing of compute resources across teams and projects. For GPU capacity in SageMaker Training jobs, you can prioritize critical training jobs and preempt lower-priority workloads.

• Quota Shares: Create up to 20 quota shares per job queue with dedicated capacity limits and resource sharing strategies.
• Preemption: Supports cross-share and in-share preemption, with options to restore borrowed capacity and influence preemption decisions.
• Monitoring: Monitor capacity utilization at queue, quota share, and job levels.
• Integration: Integrates with the SageMaker Python SDK via the aws_batch module.

What to do

• Create quota shares to manage resources efficiently.
• Configure preemption strategies to prioritize jobs.
• Monitor capacity utilization to optimize resource use.
• Update job priorities to influence preemption decisions.

Source: AWS release notes

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