Nvidia has invested $2bn in Synopsys as part of an expanded strategic partnership focused on applying AI and accelerated computing to engineering platforms used across multiple industries.
In this connection, Nvidia bought Synopsys common stock at $414.79 per share.
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The Nvidia-Synopsys collaboration targets efficiency challenges in product design across sectors such as semiconductors, automotive, aerospace, and industrial applications.
It covers the integration of Nvidia’s hardware and AI stack with Synopsys’ suite of engineering tools.
Joint development efforts will enhance compute-intensive applications, including chip design, verification, molecular simulation, electromagnetic analysis, and optical modelling. This will be achieved through the adoption of Nvidia’s CUDA-X libraries and AI physics technologies.
A core component of the partnership is the expansion of agentic AI workflows.
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By GlobalDataThis involves combining Synopsys AgentEngineer technology with Nvidia’s agentic AI platform, which incorporates NIM microservices, the NeMo Agent Toolkit, and Nemotron models.
The goal is to automate tasks in electronic design automation (EDA), simulation, and analysis.
Synopsys president and CEO Sassine Ghazi said: “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.”
Both companies are focusing on digital twin deployment across industries by leveraging Nvidia Omniverse and Cosmos for simulation and validation processes.
The partners are also working to make GPU-accelerated engineering tools available via cloud infrastructure, aiming to increase accessibility for distributed development teams.
To expand market reach, the companies have agreed on joint go-to-market initiatives utilising Synopsys’ global sales network. This builds on existing arrangements for licencing and supporting embedded Omniverse technology within Synopsys’ simulation offerings.
The partnership is non-exclusive, with both parties continuing to collaborate across the broader semiconductor and EDA landscape.
Nvidia founder and CEO Jensen Huang said: “CUDA GPU-accelerated computing is revolutionising 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.
“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.”
In November 2025, Nvidia reported a net income of $31.9bn for the third quarter of fiscal year 2026 (Q3 FY2026), representing a 21% increase from $19.3bn in the same period in 2024.
