AI 在算什么？数据流如何逼垮旧架构

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AI 的本质，就是一条超级流水线：数据从左边进，结果从右边出。流水线里最重的一步，是矩阵乘法：海量数字两两相乘再相加，反复千亿次。每算一步，都要从存储里读权重数据。计算快，但读数据慢——这就是瓶颈。为了喂饱计算，我们把几百块 GPU 连在一起，数据流量瞬间爆炸。旧的 PCIe 通道太窄，数据堵死在路上，GPU 只能干等——带宽成了新瓶颈。于是 UEC 和 UALink 出现了：更宽的总线、更短的延迟，让数据流真正跑起来。

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