Amazon SageMaker HyperPod now supports model caching for faster inference autoscaling and reduced cold starts
Amazon SageMaker HyperPod now supports model caching, an inference optimization that pre-loads model weights and container images onto cluster nodes so pods start in seconds instead of minutes. When running LLM inference at scale for workloads like chat assistants, agentic pipelines, RAG, and…
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- T1Amazon SageMaker HyperPod now supports model caching for faster inference autoscaling and reduced cold startsAWS — What's New / News Blog