GlobeNewsWire
27 Jul 2026, 00:46 UTC · 2h ago
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Silvaco is integrating NVIDIA's accelerated computing and AI into its physics-based simulation portfolio to create next-generation semiconductor digital twins. — This collaboration enhances the technical capabilities of both companies, potentially increasing the adoption of SVCO's tools and expanding NVDA's software ecosystem in the semiconductor design space.
+0.60Silvaco demonstrated a 3D FDTD simulation on 32 NVIDIA GPUs that completed in under four hours—a workload that failed to converge on CPUs. — This provides a concrete performance benchmark that proves the necessity of GPU acceleration for complex semiconductor design, supporting continued demand for NVIDIA hardware.
+0.40The partnership will leverage NVIDIA PhysicsNeMo and Omniverse to develop AI surrogate models and real-time visualization for semiconductor fabs and robotics. — The move toward AI-driven surrogate modeling and real-time fab visualization suggests a shift toward higher efficiency in manufacturing, benefiting the broader semiconductor supply chain.
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The company is enhancing its product portfolio and accelerating simulation runtimes through a strategic collaboration with NVIDIA.
The company is expanding the adoption of its AI and accelerated computing platforms within the semiconductor design and manufacturing sector.
[mutual] Silvaco is integrating NVIDIA accelerated computing and AI into its simulation portfolio to advance digital twins for semiconductor design.
[a_to_b] Silvaco intends to use NVIDIA GPUs, CUDA-X libraries, and AI models to accelerate its simulation solutions.
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