SageMaker HyperPod adds disaggregated prefill and decode with EFA GPU-Direct RDMA
Amazon SageMaker HyperPod now supports Disaggregated Prefill and Decode (DPD), separating LLM inference phases onto dedicated GPU pools. The system transfers key-value caches between these pools via Elastic Fabric Adapter using GPU-Direct RDMA. This architecture prevents long-context prefill requests from stalling token generation for concurrent decode tasks, improving latency consistency and throughput under mixed workloads.
DPD isolates compute-bound prefill from memory-bound decode onto separate GPU resources.