{"id":984781,"date":"2026-07-26T20:49:03","date_gmt":"2026-07-27T00:49:03","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/silvaco-to-accelerate-physics-based-digital-twins-for-semiconductor-design-and-manufacturing-using-nvidia-ai-and-accelerated-computing\/"},"modified":"2026-07-26T20:49:03","modified_gmt":"2026-07-27T00:49:03","slug":"silvaco-to-accelerate-physics-based-digital-twins-for-semiconductor-design-and-manufacturing-using-nvidia-ai-and-accelerated-computing","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/silvaco-to-accelerate-physics-based-digital-twins-for-semiconductor-design-and-manufacturing-using-nvidia-ai-and-accelerated-computing\/","title":{"rendered":"Silvaco to Accelerate Physics-Based Digital Twins for Semiconductor Design and Manufacturing Using NVIDIA AI and Accelerated Computing"},"content":{"rendered":"

\nSilvaco is integrating NVIDIA accelerated computing and AI with its physics-based simulation portfolio to advance digital twins for semiconductor design and manufacturing
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SANTA CLARA, Calif., July 26, 2026 (GLOBE NEWSWIRE) — Silvaco Group, Inc. (Nasdaq: SVCO) (\u201cSilvaco\u201d), a leading provider of TCAD, EDA software, and semiconductor IP solutions, and NVIDIA, a global leader in accelerated computing and AI, today announced a collaboration to advance next-generation digital twins for semiconductor design and manufacturing using NVIDIA accelerated computing and AI.<\/p>\n

Silvaco is combining decades of physics-based modeling expertise with NVIDIA\u2019s accelerated computing, CUDA-X\u2122 libraries, <\/strong>PhysicsNeMo, Omniverse libraries, and Nemotron open models to help customers build, train, and deploy high-fidelity digital twins capable of predicting, optimizing, and validating complex semiconductor systems with unprecedented speed and accuracy.<\/p>\n

Together, Silvaco\u2019s physics-based simulation portfolio and NVIDIA accelerated computing and AI will help customers design, simulate and optimize increasingly complex semiconductor technologies.<\/p>\n

\n Partnership Focus Areas<\/strong>\n <\/p>\n

\n GPU-Accelerated Physics Simulation<\/strong>
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Silvaco intends to use NVIDIA accelerated computing and CUDA-X\u2122 libraries to accelerate its semiconductor device, process, photonics, and multiphysics simulation solutions, enabling dramatic reductions in simulation runtimes and increased design productivity. As an early proof point, Silvaco completed a fully scaled 3D FDTD simulation of a photonic edge coupler with 3.2 billion mesh nodes on 32 NVIDIA GPUs connected with NVLink in under four hours. The workload did not converge on CPUs, and the result achieved less than 0.15 dB difference between measurement and simulation.<\/p>\n

\n AI-Driven Surrogate Modeling<\/strong>
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Silvaco intends to leverage NVIDIA PhysicsNeMo to develop customizable AI surrogate models that complement high-fidelity physics simulation and accelerate exploration of design alternatives.<\/p>\n

\n Digital Twin Visualization and Collaboration<\/strong>
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Silvaco plans to connect its digital twin environment with NVIDIA Omniverse libraries\u2122 and NVIDIA Cosmos\u2122 to deliver collaborative, real-time visualization and simulation environments spanning semiconductor fabs, manufacturing systems, robotics platforms and infrastructure applications to provide interactive visualization and collaboration across semiconductor design and manufacturing workflows.<\/p>\n

\n Scaled Engineering Workflows<\/strong>
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Silvaco aims to establish cloud-native workflows that support design, testing, and validation across distributed teams and compute environments.<\/p>\n

\n Delivering Measurable Customer Value<\/strong>\n <\/p>\n

By combining the technologies, Silvaco expects to help customers:<\/p>\n