SageMaker AI halves generative AI inference scale-out time via container caching

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Amazon SageMaker Inference now automatically pre-caches container images on new instances during scale-out events, cutting end-to-end scaling time by up to 50%. Generative AI workloads typically rely on container images of 10 GB or more; previously every new instance had to pull the full image from Amazon ECR (Elastic Container Registry), adding several minutes of cold-start latency before the instance could serve traffic. The new capability requires no configuration changes — SageMaker automatically caches whichever image URI is specified in an endpoint or inference component config. This completes a scaling optimization suite that also includes sub-minute concurrency metrics (up to 6× faster load detection) and instance-store container caching for existing instances.