RadarAI· Hassan radwany·· 12 小时前AI 评分48
扩展至万亿参数：Cerebras 权重流式架构解析
AI 导读
Cerebras 的权重流式架构将模型内存与计算解耦，通过从外部 DRAM 流式加载权重，使万亿参数模型可在单块晶圆级芯片上训练，从而消除传统 GPU 集群的互连瓶颈。
正文 · 原文
Cerebras' Weight‑Streaming architecture decouples model memory from compute, allowing trillion‑parameter models to be trained on a single wafer‑scale chip by streaming weights from external DRAM, thereby eliminating the interconnect bottlenecks of traditional GPU clusters.
来源：RadarAI · bestblogs.dev