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Read the original: vLLM Blog· Published 54/100AI score54/100

vLLM guide explains disaggregated serving for prefill and decode

Original titleTaking vLLM Apart: A Practical Guide to Disaggregated Serving

AISummary

The vLLM blog guide explains how separating prefill and decode, and moving tokenization to a CPU-only render tier, can keep token streams from stalling under load.

In a two-L40S test on Qwen2.5-7B, collocated p99 inter-token latency reached 169 ms at 0.4 req/s while disaggregated serving stayed between 25 and 52 ms.

The guide notes that the gain depends on fast KV cache transfer, and it includes setup code for NIXL-based serving and the render/derender API.

Read the original vllm.ai

Source: vLLM Blog · vllm.aiPublished · added here