Nvidia said semiconductor companies are adopting its CUDA-X libraries for chip design and manufacturing as chip production grows more complex.

Its cuPotential library speeds up atomic-scale simulations and can support AI agents that model how atoms and molecules interact.

Applications include materials simulation, chip patterning, inspection, and digital twins.

Adopters include Synopsys, a US-based engineering software company, Siemens, a Germany-based industrial technology company, and Applied Materials, a US-based semiconductor equipment supplier, according to Nvidia.

Synopsys and Nvidia have also partnered more broadly on engineering and design, placing Synopsys’ adoption within a broader collaboration.

Siemens separately works with Nvidia on industrial AI and manufacturing digital twins, although the cited material does not mention semiconductor fabs.

Nvidia said Siemens uses cuLitho for chip-pattern refinement and mask preparation.

Nvidia said cuPotential is available in early access. Separately, NanoVDB is available as open source within OpenVDB, while NPP is available through the CUDA Toolkit.

🔗 Source: NVIDIA

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