AI模型精选

iFLYTEK优化架构应对算力限制

Under Domestic Compute Constraints, iFLYTEK Turns to Engineering

精选理由

iFLYTEK用Spark X2-Flash在华为Ascend 910B上优化架构,应对算力限制,值得看看他们的解决方案。

AI 摘要

iFLYTEK承认国内加速器在长文本训练上落后Nvidia H200达5倍,转而优化架构、算子、内存和框架,以华为Ascend 910B上的Spark X2-Flash证明方法。

原文 · Pandaily

Under Domestic Compute Constraints, iFLYTEK Turns to Engineering

At its August earnings call, iFLYTEK acknowledged domestic accelerators trail Nvidia's H200 by up to 5x on long-context training. Instead of waiting for hardware, it is optimizing architecture, operators, memory and frameworks — proving the approach with Spark X2-Flash on Huawei Ascend 910B.

  • Clement Delangue08-22 21:18原文