AWS SageMaker HyperPod introduces disaggregated prefill and decode for LLM inference

Jul 11, 2026

AWS announced support for disaggregated prefill and decode (DPD) for large language model (LLM) inference on SageMaker HyperPod, utilizing vLLM. This method separates the prefill and decode phases to improve throughput and reduce latency, and is available through the HyperPod Inference Operator.

Why it matters: This optimization can improve LLM inference efficiency by enabling better resource utilization and potentially lowering costs.

Full story at: AWS Machine Learning Blog ↗