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Silvaco teams with NVIDIA to speed up physics‑based digital twins for chip design and manufacturing

Executive summary: Silvaco announced integration of NVIDIA accelerated computing and AI with its physics‑based simulation portfolio to advance digital twins for semiconductor design and manufacturing. The collaboration seeks to shorten simulation cycles and boost accuracy in chip development, potentially lowering R&D costs and accelerating time‑to‑market for new semiconductor nodes.

Who is involved: Silvaco (EDA and simulation provider) and NVIDIA (GPU and AI platform provider).

Likely next: Both companies may joint‑release beta versions of the integrated digital‑twin tools and pursue co‑marketing with semiconductor manufacturers.

Silvaco announced it is integrating NVIDIA’s accelerated computing and AI software with its physics‑based simulation suite to create faster digital twins for semiconductor design and production. The move follows NVIDIA’s recent expansion of its Agent Toolkit with PhysicsNeMo and CUDA‑X libraries, indicating a broader push to embed AI‑driven simulation into electronic design automation workflows. By combining Silvaco’s device‑physics models with NVIDIA’s GPU‑accelerated AI, the companies aim to reduce simulation turn‑around times and improve design accuracy. No financial terms or timelines were disclosed in the release.

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