Semiconductor fabs adopt AI tools to speed simulation, testing and process decisions

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AI tools in semiconductor fabs

Highlights

Semiconductor fabs increasingly use NVIDIA accelerated computing and AI tools to reduce simulation and process analysis time, streamlining engineering workflows.
COMSOL and Applied Materials report up to 10x faster multiphysics semiconductor simulations with NVIDIA cuDSS, while Applied's ACE+ platform achieves 35x topography speedup via PhysicsNeMo.
Siemens' Calibre software integrates NVIDIA cuLitho for up to 17x simulation acceleration, and Lam Research leverages PhysicsNeMo for near-instant plasma behavior prediction.

AI tools reshape fab engineering workflows

As reported by NVIDIA Newsroom, semiconductor manufacturers and software providers are using AI and accelerated computing to reduce the time needed for simulation, model selection and process analysis across fab operations.

In this setup, accelerated computing allows engineers to test more options before moving to costly physical trials. Physics-based AI models help predict how materials and processes behave without requiring a full simulation each time, while AI agents take over multi-step engineering tasks that previously consume hours.

NVIDIA says these capabilities together define an AI-driven fab, where engineers still make the final decisions but spend less time waiting for computational results. The approach is intended to help teams optimize processes, identify problems earlier and improve decisions across the semiconductor manufacturing lifecycle.

Examples in the sector point to large gains in simulation speed. COMSOL uses the NVIDIA cuDSS library to accelerate multiphysics simulations for semiconductor manufacturing by up to 10x, while Applied Materials says its Ginestra simulation platform runs up to 10x faster than CPU-only approaches through cuDSS integration. Applied also says its ACE+ multiphysics platform, using NVIDIA PhysicsNeMo, delivers topography simulations up to 35x faster.

In computational lithography, Siemens is integrating NVIDIA cuLitho into its Calibre software, with up to 17x acceleration on key simulation workloads. NVIDIA also says Lam Research has demonstrated PhysicsNeMo can predict plasma behavior in milliseconds, compared with days for a full simulation, potentially giving engineers a faster way to assess process conditions.

Our earlier coverage of Lenovo’s Hybrid AI strategy highlighted the company’s plans to showcase new AI technologies at its Tech World event during CES 2027, spanning both consumer devices and enterprise systems. We noted Lenovo’s emphasis on privacy, security and data control as it scales AI across business infrastructure, alongside strong revenue growth driven in part by AI-related sales.

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