Run agent-driven Amazon SageMaker HyperPod operations with InstantStart

Extracto de la fuente

If you run foundation model (FM) workloads on Amazon SageMaker HyperPod, you know the work is rarely a single task. It is a chain of dependent ones. An infrastructure team creates the network and control plane, attaches accelerator capacity, and installs cluster dependencies in the right order. It also prepares storage and identity, keeps distributed jobs alive through hardware faults, deploys model servers, and watches all of it. Each step has its own API, its own failure modes, and its own…