Amazon SageMaker HyperPod Slashes ML Inference Cold Starts with Model Caching
Amazon SageMaker HyperPod now lets you pre-load model weights and container images directly onto cluster nodes, so your inference pods grab everything from local NVMe storage instead of waiting for network downloads. This clever trick cuts cold starts from tens of minutes down to just seconds—a game-changer for production ML workloads.
source: [aws/machine-learning-blog]