---
format: "aidr-story-markdown/v1"
id: "f6a400e50dd558ad94257a08b20664225aebddc8fd761d36725882ad02b591f9"
canonical_url: "https://aidr.today/f6a400e5?lang=en"
title: "Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-10-29T16:58:57.000Z"
category: "Infra"
topics: ["amazon"]
source_urls: ["https://aws.amazon.com/blogs/machine-learning/lend-and-borrow-resources-across-teams-with-aws-batchs-quota-management-for-sagemaker-training-jobs/"]
summary: "AWS Batch quota management is a new scheduling capability that divides GPU capacity into quota shares per team or project, automatically lends idle capacity across shares, and uses preemption to run highest-priority SageMaker Training jobs first without manual coordination."
---

# Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs

> [Open the canonical story](<https://aidr.today/f6a400e5?lang=en>)

**Published:** 2026-10-29T16:58:57.000Z
**Category:** Infra
**Topics:** amazon

## Summary

AWS Batch quota management is a new scheduling capability that divides GPU capacity into quota shares per team or project, automatically lends idle capacity across shares, and uses preemption to run highest\-priority SageMaker Training jobs first without manual coordination\.

## Sources

- [Story source](<https://aws.amazon.com/blogs/machine-learning/lend-and-borrow-resources-across-teams-with-aws-batchs-quota-management-for-sagemaker-training-jobs/>)

