AI Is Changing How Semiconductor Fabs Work — and Engineers Are Moving Faster Because of It

NVIDIA describes an "AI-defined fab" in which accelerated computing, physics-based AI, AI agents and digital twins help semiconductor engineers shorten simulation cycles, predict process behavior and test changes virtually before physical trials. The article cites up to 10x acceleration for COMSOL multiphysics simulations with cuDSS, up to 17x for Siemens Calibre lithography workloads with cuLitho, and Lam Research predicting plasma behavior in milliseconds versus days for full simulation. It also covers Advantest using NeMo Switchyard agents to cut model-selection response times from hours to minutes and Applied Materials building fab digital twins on Omniverse libraries.