NVIDIA and Synopsys, Inc. have announced an expanded strategic partnership aimed at transforming engineering and design across multiple industries.
From semiconductors to aerospace, automotive, and industrial applications, R&D teams are confronting growing challenges, from increasing workflow complexity to rising development costs and tightening time-to-market demands. Through this partnership, NVIDIA’s advanced AI and accelerated computing will be integrated with Synopsys’ industry-leading engineering and design solutions, enabling organizations to design, simulate, and validate intelligent products with greater precision, speed, and cost efficiency.
As part of this collaboration, NVIDIA has also invested $2 billion in Synopsys common stock, at a purchase price of $414.79 per share, reinforcing its long-term commitment to advancing the future of intelligent, AI-driven engineering.
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“CUDA GPU-accelerated computing is revolutionizing design — enabling simulation at unprecedented speed and scale, from atoms to transistors, from chips to complete systems, creating fully functional digital twins inside the computer,” said Jensen Huang, Founder and CEO of NVIDIA. “Our partnership with Synopsys harnesses the power of NVIDIA accelerated computing and AI to reimagine engineering and design — empowering engineers to invent the extraordinary products that will shape our future.”
“The complexity and cost of developing next-generation intelligent systems demands engineering solutions with a deeper integration of electronics and physics, accelerated by AI capabilities and compute. No two companies are better positioned to deliver AI-powered, holistic system design solutions than Synopsys and NVIDIA,” said Sassine Ghazi, President and CEO of Synopsys. “Together we will re-engineer engineering and empower innovators everywhere to more efficiently realize their innovations.”
Joint Development to Enable Future of Engineering on Accelerated Computing
The multi-year partnership builds on strong, existing technology collaborations between the companies and includes the following initiatives:
Broadly accelerate Synopsys applications: Using NVIDIA CUDA-X libraries and AI-Physics technologies, Synopsys will further accelerate and optimize its broad portfolio of compute-intensive applications spanning chip design, physical verification, molecular simulations, electromagnetic analysis, optical simulation and more.
Advance agentic AI engineering: Building on the existing AI collaboration to enable agentic AI workflows, the companies are integrating Synopsys AgentEngineer technology with the NVIDIA Agentic AI technology stack — including NVIDIA NIM microservices, NVIDIA NeMo Agent Toolkit software and NVIDIA Nemotron models — to enable autonomous design capabilities for EDA and simulation and analysis workflows.
Connect the physical and digital worlds through digital twins: The companies will collaborate to enable the next generation of virtual design, testing and validation through the use of highly accurate and sophisticated digital twins for industries such as semiconductor, robotics, aerospace, automotive, energy, industrial, healthcare and beyond. These solutions will utilize NVIDIA Omniverse, NVIDIA Cosmos and other technologies.
Cloud-ready solutions: Synopsys and NVIDIA plan to make the power of accelerated engineering solutions accessible to engineering teams of all sizes by enabling cloud access for GPU-accelerated engineering solutions.
Develop joint go-to-market initiatives: To drive market adoption, the companies also have agreed to develop joint go-to-market initiatives to broadly reach engineering teams across multiple industries with both on-premise and cloud-ready solutions. This go-to-market effort will utilize Synopsys’ global network of thousands of direct sellers and channel partners, building on Synopsys’ broad customer base and existing agreement to license, sell, and support Omniverse technology embedded in Synopsys simulation solutions.
This partnership is not exclusive. NVIDIA and Synopsys continue to partner with the broader semiconductor and electronic design automation (EDA) ecosystem to create shared growth opportunities for the future of engineering and design.
