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Reduce inference cold starts on Amazon SageMaker HyperPod with model caching

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

Amazon SageMaker HyperPod now supports model caching for inference, which pre-loads model weights and container images onto cluster nodes so pods read from local NVMe storage instead of downloading over the network. Learn how model caching cuts cold starts from tens of minutes to seconds, how it wo…

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  1. 2026-09-10 21:37 · AWS Machine Learning Blog
    Reduce inference cold starts on Amazon SageMaker HyperPod with model caching

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