大语言模型推理效率迎来突破。清华大学与Moonshot AI联合提出“预填充即服务”新架构，通过将推理过程拆分为预填充和解码两个阶段，并优化算力资源分配，有效解决硬件限制问题，显著提升模型服务性能。
Moonshot AI与清华大学提出预填充即服务（PrfaaS）新架构，旨在解决大型语言模型推理中计算资源瓶颈。该架构将高计算密集的预填充阶段（生成键值缓存）与解码阶段分离，以优化资源利用，突破传统服务限制。
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