Amazon SageMaker HyperPod now supports disaggregated prefill and decode
Sagemaker Hyperpod Dpd ยท 2026-07-06
Actions
Technical Details
| Regions | all |
|---|---|
| Cost Impact | Neutral |
| IaC Impact | High |
What This Means
For DevOps Teams
Configure the `pdSpec` section in the `InferenceEndpointConfig` custom resource to enable Disaggregated Prefill and Decode for SageMaker HyperPod clusters, ensuring improved performance and resource utilization for LLM workloads.
For Platform Teams
Integrate Disaggregated Prefill and Decode into the existing HyperPod infrastructure to enhance LLM inference capabilities, resulting in more consistent latency and higher throughput for AI applications.
For Executives
Evaluate the new Disaggregated Prefill and Decode feature for improving LLM inference performance, which can lead to better customer experiences and operational efficiency in AI-driven applications.
Source
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