EPISODE · Aug 27, 2026 · 10 MIN
Kimi K3技术报告:3比1混合注意力、16个激活专家,它到底在省什么?
from 投研随身听 · host 慢研播客
Kimi K3的架构创新看起来分散,其实都在重新分配记忆、通信、计算和内存成本。这期个人学习版解释KDA与MLA的3比1混合结构,说明线性注意力为何在真实前缀缓存中并非恒定显存;再拆解注意力残差、LatentMoE与分位数负载均衡,最后用B200、B300、DRAM卸载和每百万输入token约0.1712美元的测算,理解模型架构怎样落到真实推理经济学。
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Kimi K3技术报告:3比1混合注意力、16个激活专家,它到底在省什么?
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