NVIDIA Co-Design 如何最大化 AI 工厂中每个字节的价值
Five Ways NVIDIA Co-Design Maximizes the Value of Every Byte in the AI Factory
NVIDIA协同设计通过优化内存使用，减少冗余权重复制、闲置KV缓存和重复计算前缀，提升HBM效率，将更多内存用于生成token。该方案使每个字节能产生更多有用工作，而非单纯关注GPU内存容量。
In an AI factory, high bandwidth memory (HBM)is the fastest, most expensive, and most contested memory tier. Every byte spent on a redundant weight copy, an...
In an AI factory, high bandwidth memory (HBM)is the fastest, most expensive, and most contested memory tier. Every byte spent on a redundant weight copy, an idle session’s KV cache, or a recomputed prefix is a byte that is not being used to produce tokens. The question is no longer how much memory a GPU has, but how much useful work each byte delivers. The generational data in Figure 1 below…
来源: NVIDIA Technical Blog · developer.nvidia.com