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NVIDIA and electronic design automation (EDA) leader Synopsys have announced an expanded strategic partnership that will usher AI and accelerated computing deeper into chip design, automotive engineering, aerospace development, and other technical domains. As part of this collaboration, NVIDIA also revealed a USD 2 billion equity investment in Synopsys—purchasing common stock at USD 414.79 per share—underscoring the two companies’ tightly aligned vision and long-term commitment to future technological advancement.
Under the multiyear agreement, the partnership will build upon the companies’ existing technological foundations, with a central focus on re-engineering today’s design pipelines using NVIDIA’s computational strengths.
More specifically, Synopsys will harness NVIDIA’s CUDA-X libraries and AI physics technologies to dramatically accelerate its compute-intensive applications, spanning chip design, physical verification, molecular simulation, electromagnetic analysis, and optical modeling.
NVIDIA CEO Jensen Huang remarked, “CUDA GPU-accelerated computing is fundamentally transforming design—from atoms to transistors, and from individual chips to complete systems—creating fully functional digital twins inside the computer.”
A major highlight of this collaboration is the integration of Agentic AI.
The two companies will combine Synopsys’s AgentEngineer technology with NVIDIA’s agentic AI stack—including NVIDIA NIM microservices, the NeMo Agent Toolkit, and Nemotron models—to enable autonomous design capabilities across the EDA and simulation workflow, empowering AI agents to actively assist engineers with highly complex tasks.
Additionally, the partnership will leverage NVIDIA Omniverse and NVIDIA Cosmos to build next-generation, high-fidelity digital twins for industries such as semiconductors, robotics, automotive engineering, and energy. Both sides also plan to make GPU-accelerated engineering solutions fully cloud-ready, ensuring organizations of all sizes can access these powerful tools.
Synopsys CEO Sassine Ghazi emphasized that the escalating complexity and cost of next-generation intelligent systems demand a deep fusion of electronic and physical engineering—and that Synopsys and NVIDIA together represent the ideal combination for delivering AI-driven solutions to meet this challenge.
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