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Silvaco and NVIDIA Announce GPU and AI Partnership to Build Semiconductor Digital Twins

It aims to speed physics-based chip simulation, create AI surrogate models, shorten design cycles, enable factory optimization, and enable cloud visualization workflows.

Overview

  • The companies issued a joint announcement that included a proof-of-concept 3.2 billion-node, 3D FDTD photonic edge coupler simulation that ran on 32 NVIDIA GPUs in under four hours and did not converge on CPUs.
  • Silvaco said it will adopt NVIDIA technologies such as CUDA-X libraries, PhysicsNeMo and Nemotron models, and Omniverse visualization to combine physics-based TCAD/EDA with accelerated computing and AI.
  • The partners identified four focus areas: GPU-accelerated physics simulation, AI-driven surrogate models, Omniverse-based visualization and collaboration, and cloud-native, scaled engineering workflows.
  • Silvaco projects the work will cut simulation turnaround from multiple weeks to days, which could speed design iterations, shorten time-to-market and support predictive manufacturing when product integration and customer deployments follow.
  • Shares of Silvaco rose about 6% in premarket trading after the announcement, and the firms included typical forward-looking caveats as the collaboration moves from demonstration toward technical integration and commercial development.