Reduce inference cold starts on Amazon SageMaker HyperPod with model caching
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What happened
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 works, and how to enable it.
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Why it's spreading
Sources
Official
- Reduce inference cold starts on Amazon SageMaker HyperPod with model cachingAWS Machine Learning