SUNNYVALE, CA, Dec 2, 2025 – NVIDIA and Synopsys are expanding their partnership by linking NVIDIA’s AI and accelerated computing with Synopsys’ design and simulation tools to accelerate product development, improve verification workflows, and at lower cost. NVIDIA has also invested $2 billion in Synopsys stock.
“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 includes the following initiatives:
- Broadly accelerate Synopsys applications: Synopsys will use NVIDIA’s CUDA-X libraries and AI-physics tools to improve compute-heavy applications in chip design, physical verification, molecular simulation, electromagnetic analysis, and optical modeling.
- Advance agentic AI engineering: The companies are extending their AI work by linking Synopsys AgentEngineer with the NVIDIA agentic AI stack, including NIM microservices, the NeMo agent toolkit, and Nemotron models. The integration supports autonomous design tasks across EDA, simulation, and analysis workflows.
- Connect the physical and digital worlds through digital twins: The companies will collaborate to support virtual design, testing, and validation using digital twins for industries such as semiconductors, robotics, aerospace, automotive, energy, industrial and healthcare. These tools will run on NVIDIA Omniverse, NVIDIA Cosmos, and related technologies.
- Cloud-ready solutions: Synopsys and NVIDIA plan to increase access to accelerated engineering tools by offering GPU-based solutions through cloud platforms.
- Develop joint go-to-market initiatives: The companies will develop joint market initiatives with on-premise and cloud-ready solutions. They will rely on Synopsys’ global sales network and channel partners, building on its customer base and its agreement to license, sell, and support Omniverse technology in Synopsys simulation products.
Source: Synopsys
About NVIDIA
NVIDIA, founded in 1993 and headquartered in Santa Clara, CA, designs and manufactures graphics processing units, systems on chips, networking hardware, and AI intelligence software such as CUDA. Its products serve industries including gaming, data centers, autonomous vehicles, professional visualization, robotics, health care, and energy. The company introduced the GPU in 1999 and later expanded into accelerated computing and AI infrastructure. In gaming, its GPUs support high-performance rendering, while in AI and high-performance computing, its systems provide the infrastructure for training and deploying large-scale models. NVIDIA also develops tools for robotics and autonomous driving.
About Synopsys
Synopsys Inc., founded in 1986 and based in Sunnyvale, CA, provides software and intellectual property for semiconductor design and verification. Its tools support the full chip development process, including electronic design automation, simulation, silicon IP, and software security testing. The company serves a range of industries, including semiconductors, automotive, aerospace, defense, data centers and industrial systems. Synopsys employs more than 20,000 people worldwide. Its technology is used by chipmakers and system developers to accelerate innovation in areas such as AI and advanced computing.