Prefill/decode separation splits LLM inference into two phases: prefill processes the prompt in parallel, while decode generates tokens sequentially. Running them on separate hardware boosts throughput and cuts latency. It benefits AI serving platforms, cloud providers, and real-time chat applications handling high user demand.
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