NVIDIA, Synopsys Bring AI and Accelerated Computing to Simulation

Synopsys and NVIDIA have expanded their strategic partnership to further integrate the Synopsys design and simulatoin software suite with NVIDIA's GPU acceleration and artificial intelligence (AI) capabilities. 

R&D teams, from the semiconductor industry to aerospace, automotive, industrial and beyond face significant engineering challenges including increasing workflow complexity, escalating development costs and time-to-market pressure. According to the companies, this expanded partnership will integrate the strengths of NVIDIA's AI and accelerated computing with Synopsys'  engineering solutions to "deliver capabilities enabling R&D teams to design, simulate and verify intelligent products with greater precision, speed and at lower cost," according to a press release.

"As AI expands into the physical world, the enginering complexity of designing such systems is massive, because you are dealing with multiple engineering domains that need to come together at the systems level," said Sassine Ghazi, president and CEO of Synopsys, during a press conference earlier this week. "that cannot happen in a tactical way without accelerating at the stack."

"You can now essentailly have digtal twin of the final product living inside the computer so we can explore the design space and make the product as perfect as we can before we create a physical embodiment of the product," said NVIDIA CEO Jensen Huang. "Eveything that is going to get designed or built, will be done first in a digital twin."

In addition, NVIDIA invested $2 billion in Synopsys common stock at a purchase price of $414.79 per share.

"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," Huang said. "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," Ghazi said. "Together we will re-engineer engineering and empower innovators everywhere to more efficiently realize their innovations."

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.

Sources: Press materials received from the company and additional information gleaned from the company’s website.