AI 导读
SemiAnalysis 提出半导体研究应关注"导数"框架:AI 加速器需求(一阶)已被充分认知,市场随之向下挖掘内存、网络、供电、先进封装等支撑技术(二阶),而更有趣的机会往往出现在更深一层的三阶导数层。该推文为 7 条线程的开篇。
正文
One of the most useful frameworks in semiconductor research is to think in derivatives.
The first derivative is often recognized early. For example, the insatiable demand for more AI accelerators has been well established.
And therefore, the market has since moved down the stack, identifying many of the enabling technologies required to support accelerator growth, including memory, networking, power, and advanced packaging.
The more interesting opportunities often emerge one level deeper; at the third derivative layer. (1/7)🧵
来源:@SemiAnalysis_ · x.com