AI Agent · Nvidia · NVIDIA Blog
AI Is Changing How Semiconductor Fabs Work, and Engineers Are Moving Faster Because of It
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Demand for advanced chips is rising.
Key facts
- Using the NVIDIA cuDSS library, multiphysics software provider COMSOL is accelerating such simulations for semiconductor manufacturing by up to 10x
- By integrating NVIDIA cuDSS, Applied’s Ginestra simulation platform runs up to 10x faster than CPU-only approaches
- Siemens is integrating NVIDIA cuLitho into its Calibre lithography software, delivering up to 17x acceleration on key simulation workloads
- Applied Materials and NVIDIA are collaborating to accelerate atomic-scale materials discovery and process development
Summary
For engineers, understanding how a process change will behave, how a material will interact with a new step, how a defect maps back to a root cause are critical, challenging steps in semiconductor manufacturing, and these analyses can take days. AI is transforming semiconductor manufacturing, impacting what engineers can do, and how fast. Accelerated computing shortens simulation time, allowing engineers to evaluate more alternatives before committing to physical trials. Physics-based AI helps engineers predict process behavior without running a full simulation every time.