NVIDIA says AI is speeding analysis and decisions in semiconductor fabs

NVIDIA says AI is changing engineers’ work in semiconductor fabs by speeding up simulations, predicting how materials and processes will behave, and testing changes in virtual environments before physical experiments. The company says this approach lets engineers evaluate more alternatives, identify problems earlier and spend less time waiting for results, while keeping decision-making with the engineers.

NVIDIA cites partner examples: COMSOL’s software reportedly achieved up to a 10x speedup for multiphysics simulations with the cuDSS library; Applied Materials’ Ginestra platform reportedly ran up to 10x faster, while its ACE+ platform reached up to 35x in topography simulations. Integrating cuLitho into Siemens’ Calibre reportedly delivered up to 17x acceleration on lithography workloads. Lam Research also demonstrated, according to NVIDIA, plasma-behavior predictions in milliseconds, compared with days for a full simulation.