AI Is Changing How Semiconductor Fabs Work - And Engineers Are Moving Faster Because of It
NVIDIA, Tuesday, November 3rd, 2026
NVIDIA describes the AI-defined fab, where accelerated simulation, physics AI, agents and digital twins speed semiconductor engineering.
NVIDIA says rising chip demand and more complex processes are making semiconductor engineering analyses slow and costly, since physical experiments on a fab line take time.
It describes an AI-defined fab in which accelerated computing shortens simulations, physics-based AI predicts process behavior, AI agents handle sequences of engineering tasks and digital twins let teams test changes virtually, while engineers still direct the work and make decisions.
COMSOL is using NVIDIA's cuDSS library to accelerate multiphysics simulations for semiconductor manufacturing by up to 10x.
Applied Materials and NVIDIA are also collaborating on atomic-scale materials simulation.