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# Schedule topology-aware workloads using Amazon SageMaker HyperPod task governance

**[AWS](https://daily.dev/sources/aws)** · 7 min read · 2 upvotes · 0 comments

## Summary

Amazon SageMaker HyperPod task governance now supports topology-aware scheduling to optimize AI workload placement based on network hierarchy. This feature reduces latency by minimizing network hops between instances and improves training efficiency by considering the physical arrangement of resources in data centers. Users can schedule jobs using network topology labels through Kubernetes manifest files or the SageMaker HyperPod CLI, with options for required or preferred topology placement.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://aws.amazon.com/blogs/machine-learning/schedule-topology-aware-workloads-using-amazon-sagemaker-hyperpod-task-governance/>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#aws](https://daily.dev/tags/aws), [#kubernetes](https://daily.dev/tags/kubernetes), [#distributed-systems](https://daily.dev/tags/distributed-systems), [#aws-sagemaker](https://daily.dev/tags/aws-sagemaker)

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