Silvaco and NVIDIA advance semiconductor digital twins

Key Takeaways

• Silvaco and NVIDIA collaborate to advance semiconductor digital twins using NVIDIA accelerated computing and AI
• The partnership combines Silvaco's physics-based modeling expertise with NVIDIA's accelerated computing, CUDA-X libraries, and AI technologies
• The collaboration focuses on four key areas: GPU-accelerated physics simulation, AI-driven surrogate modeling, digital twin visualization and collaboration, and scaled engineering workflows
• The goal is to help customers design, simulate, and optimize complex semiconductor systems with unprecedented speed and accuracy

Introduction to Semiconductor Digital Twins

The semiconductor industry is experiencing a significant shift towards digital transformation, with the adoption of digital twins being a key driver of this change. Silvaco, a leading provider of EDA software and semiconductor IP solutions, has partnered with NVIDIA to advance the development of next-generation digital twins for semiconductor design and manufacturing.

Partnership Focus Areas

The Silvaco-NVIDIA partnership focuses on four key areas:

GPU-Accelerated Physics Simulation

Silvaco will utilize NVIDIA's accelerated computing and CUDA-X libraries to accelerate its semiconductor device, process, photonics, and multiphysics simulation solutions. This will enable dramatic reductions in simulation runtimes and increased design productivity. For example, 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, achieving a result with less than 0.15 dB difference between measurement and simulation.

AI-Driven Surrogate Modeling

Silvaco will leverage NVIDIA PhysicsNeMo to develop customizable AI surrogate models that complement high-fidelity physics simulation and accelerate exploration of design alternatives.

Digital Twin Visualization and Collaboration

Silvaco plans to connect its digital twin environment with NVIDIA Omniverse libraries and NVIDIA Cosmos to deliver collaborative, real-time visualization and simulation environments spanning semiconductor fabs, manufacturing systems, robotics platforms, and infrastructure applications.

Scaled Engineering Workflows

Silvaco aims to establish cloud-native workflows that support design, testing, and validation across distributed teams and compute environments.

Comparison of Simulation Technologies

Delivering Measurable Customer Value

By combining their technologies, Silvaco and NVIDIA expect to help customers achieve significant reductions in design and simulation time, while improving the accuracy and fidelity of their digital twins. This will enable customers to design, simulate, and optimize complex semiconductor systems with unprecedented speed and accuracy, resulting in faster time-to-market and improved product quality.

Bottom Line

The partnership between Silvaco and NVIDIA has the potential to revolutionize the semiconductor industry by advancing the development of digital twins for design and manufacturing. By combining their expertise in physics-based modeling and accelerated computing, they can help customers achieve significant improvements in design productivity, simulation accuracy, and product quality. With the focus on GPU-accelerated physics simulation, AI-driven surrogate modeling, digital twin visualization and collaboration, and scaled engineering workflows, this partnership is poised to deliver measurable customer value and drive innovation in the semiconductor industry.