NVIDIA and Electronic Design Automation (EDA) provider Synopsys announced an expanded strategic partnership to further integrate AI and accelerated computing into engineering fields such as chip design, automotive, and aerospace. As part of the collaboration, NVIDIA also announced a $20 billion equity investment in Synopsys (purchasing common stock at $414.79 per share), demonstrating the close ties and commitment of both companies to future technological development.
Integrating CUDA-X with AI physics technology to accelerate the application of all EDA tools.
According to the agreement, this multi-year collaboration will build on the existing technologies of both parties, focusing on "re-engineering" existing design processes by leveraging NVIDIA's computing advantages.
Specifically, Synopsys will leverage NVIDIA CUDA-X libraries and AI physics technology to comprehensively accelerate its computationally intensive applications, covering areas such as chip design, physical verification, molecular simulation, electromagnetic analysis, and even optical simulation.
NVIDIA CEO Jensen Huang stated, "CUDA GPUs are revolutionizing design, from atoms to transistors, and from chips to complete systems, creating fully functional digital twins within computers."
Agentic AI joins the fray; Synopsys AgentEngineer integrates with NVIDIA NIM microservices.
Another highlight of this collaboration is the application of agentic AI technology.
The two parties will integrate Synopsys AgentEngineer technology with NVIDIA’s agent-based AI technology stack (including NVIDIA NIM microservices, NeMo Agent Toolkit, and Nemotron model) to enhance the autonomous design capabilities of the entire EDA and simulation analysis workflow, enabling AI agents to proactively assist engineers in handling complex tasks.
Digital twins and cloud computing
In addition, the two companies will leverage technologies such as NVIDIA Omniverse and NVIDIA Cosmos to build next-generation high-precision digital twins for industries such as semiconductors, robotics, automotive, and energy, enabling virtual design and verification. Simultaneously, they plan to promote the cloud-ready nature of GPU-accelerated engineering solutions, allowing engineering teams of all sizes to access these high-performance tools.
Synopsys CEO Sassine Ghazi emphasized that the complexity and cost of developing next-generation intelligent systems require a deep integration of electronics and physics, and Synopsys and NVIDIA are the best combination to provide such AI-driven solutions.
