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Credit: NVIDIA
December 1, 2025 - NVIDIA and Synopsys have announced a major multiyear strategic partnership designed to redefine how industries design, simulate and validate next-generation products. The collaboration brings together NVIDIA’s accelerated computing, AI, and digital twin technologies with Synopsys’ market-leading engineering and EDA platforms.
As part of the agreement, NVIDIA has invested $2 billion in Synopsys common stock at $414.79 per share.
Key Highlights
Partnership integrates CUDA accelerated computing, agentic AI, and Omniverse digital twins to achieve simulation performance previously unattainable with CPU-based workflows.
NVIDIA invests $2B in Synopsys, strengthening long-term collaboration.
Joint engineering and go-to-market efforts aimed at accelerating adoption of GPU-powered engineering solutions across industries.
Targeted impact spans semiconductors, aerospace, automotive, industrial, energy, robotics, healthcare, and more.
A New Foundation for Engineering Intelligence
R&D teams worldwide face growing complexity, rising development costs, and tighter time-to-market constraints. By combining hardware-accelerated computing with advanced AI, the partnership aims to give engineers the ability to design and validate intelligent systems with greater precision and dramatically reduced turnaround times.
NVIDIA founder and CEO Jensen Huang noted:
“CUDA GPU-accelerated computing is revolutionizing design — enabling simulation at unprecedented speed and scale, from atoms to transistors, from chips to complete systems. This partnership harnesses accelerated computing and AI to reimagine engineering and empower innovators.”
Synopsys president and CEO Sassine Ghazi added:
“No two companies are better positioned to deliver AI-powered, holistic system design solutions than Synopsys and NVIDIA. Together we will re-engineer engineering.”
What the Partnership Delivers
1. Broad Acceleration of Synopsys Applications
Synopsys will integrate NVIDIA CUDA-X libraries, GPU acceleration, and AI physics to enhance compute-intensive workloads such as:
2. Agentic AI for Autonomous Engineering
The companies will integrate:
This stack enables agentic AI workflows to automate complex design, simulation and EDA tasks.
3. High-Fidelity Digital Twins
Teams will be able to create advanced virtual prototypes using:
This unlocks the next generation of digital twins for semiconductors, automotive, robotics, aerospace, industrial systems and more.
4. Cloud-Ready GPU Engineering
The companies plan to expand cloud availability of GPU-accelerated engineering tools, making high-performance simulation accessible to organizations of all sizes.
5. Joint Go-to-Market Initiatives
Synopsys and NVIDIA will co-develop industry outreach programs, combining:
Synopsys’ global sales network
NVIDIA’s accelerated computing platform
joint on-premises and cloud-enabled offerings
This will broaden adoption across the global engineering community.