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May 15, 2026 · Artificial Intelligence
How PD (Prefill‑Decode) Disaggregation Makes LLM Inference Faster and More Stable
The article explains PD (Prefill‑Decode) disaggregation, an architecture that separates the compute‑bound Prefill stage from the memory‑bound Decode stage onto different GPU pools, eliminating interference, enabling independent scaling, leveraging hardware specialization, and delivering up to 85% lower tail latency for large language model inference.
GPU scalingKV cache transportLLM inference
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