Amazon SageMaker HyperPod Optimizes LLM Inference with Disaggregated Prefill and Decode

AWS announced that Amazon SageMaker HyperPod supports DPD, splitting LLM inference into prefill and decode phases on separate GPU resources connected via Elastic Fabric Adapter. This architecture addresses contention issues when these phases share GPUs, which can cause stalls and require over-provisioning.

DPD features intelligent routing directing long-context prompts through disaggregated paths while short prompts use a direct decoder path, optimizing resource use. This innovation aims to provide more consistent latency and scalable capacity, though independent benchmarks are not provided in the announcement.