新闻
Taking vLLM Apart: A Practical Guide to Disaggregated Serving
vLLM · Martin Hickey (IBM Research) · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- vLLM v0.30.0 adds disaggregated serving, splitting LLM inference into separate prefill, decode, and CPU-only tokenization stages to reduce latency and improve throughput.
- 为何重要
- Use this when inter-token latency p99 misses your SLO under load, or when long prompts at high concurrency cause stalls in a single-process setup.
- 注意
- KV cache transfer speed between prefill and decode is critical; slow transfers can make time-to-first-token worse than collocated serving, and you now operate multiple services instead of one.
- llm
- serving
- vllm
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