NVIDIA has struck a multi-year strategic partnership with Synopsys aimed at reshaping how companies design and test advanced technologies, in a move that deepens ties between two of Silicon Valley’s most influential engineering groups.
Announced today, the agreement will combine NVIDIA’s accelerated computing, agentic AI and digital-twin platforms with Synopsys’ widely used engineering and electronic design automation tools. As part of the deal, Nvidia has invested $2 billion in Synopsys, purchasing shares at $414.79 each.
The companies said the collaboration is intended to help R&D teams in sectors ranging from semiconductors to aerospace cope with increasingly complex design workflows, rising costs, and pressure to shorten product development cycles. By marrying NVIDIA’s GPU-powered computing stack with Synopsys’ simulation, verification and system-design software, the pair aim to enable engineers to model, test, and optimise products with far greater speed and precision than is possible with CPU-based systems.
Jensen Huang, NVIDIA’s Founder and Chief Executive, said GPU-accelerated computing was transforming engineering by allowing simulations “from atoms to transistors, from chips to complete systems”, including fully functional digital twins. “Our partnership with Synopsys harnesses the power of Nvidia accelerated computing and AI to reimagine engineering and design,” he said.
Sassine Ghazi, Synopsys’ President and Chief Executive, said the complexity of next-generation systems demanded deeper integration of electronics, physics and AI. “No two companies are better positioned to deliver AI-powered, holistic system-design solutions than Synopsys and Nvidia,” he added.
The tie-up will see Synopsys use NVIDIA’s CUDA-X libraries and AI-Physics technologies to speed up applications spanning chip design, verification, molecular simulation and optical and electromagnetic analysis. The companies will also integrate Synopsys’ AgentEngineer technology with NVIDIA’s agentic-AI stack, targeting autonomous design workflows in EDA and simulation.
Another focus will be the development of highly detailed digital twins using NVIDIA’s Omniverse and Cosmos platforms, with applications across sectors including robotics, automotive, industrial equipment, aerospace, healthcare and energy. The partners also plan to make GPU-accelerated engineering tools more accessible via Cloud-based delivery.
