Rohan Paul· @rohanpaul_ai · X·· 1 天前AI 评分45
AI 导读
投资人Chamath Palihapitiya指出，在AI计算中，Prefill阶段是计算受限的，因此随着上下文增长，大规模并行GPU（如Nvidia）占据优势；而Decode阶段受内存带宽限制，因为生成每个新token都需要扫描已生成的内容。
正文
Chamath on all important “prefill” and “decode.” in AI compute.
Prefill is compute-bound; massive parallel GPUs win, so Nvidia dominates as context grows.
Decode is memory-bandwidth bound as each next token depends on scanning what’s already generated
来源：Rohan Paul · x.com