Nvidia Invests $2B in Synopsys to Advance AI-Powered Engineering

Nvidia (NVDA) announced a $2 billion investment in Synopsys (SNPS) common stock alongside a major new strategic partnership targeting next-generation engineering, simulation, and design technologies.
Shares of Synopsys jumped ~8% premarket, while Nvidia dipped ~2%.

Investment Details

Nvidia invested $2B in Synopsys common stock
Purchase price: $414.79 per share
Investment aligns with long-term AI infrastructure and EDA expansion
Strengthens integration between Nvidia’s AI stack and Synopsys’ engineering tools

Deep Integration of AI, Accelerated Computing, and Engineering Software

The multi-year collaboration will combine the core strengths of both companies to transform engineering workflows.

Key Areas of Integration

Nvidia CUDA accelerated computing
Agentic AI and physical AI models
Omniverse digital twin simulation technology
Unified workflows for design, simulation, and verification at large scale
Goal: Higher precision, faster R&D cycles, and lower engineering costs

Industry Impact

The partnership aims to help engineering teams across multiple sectors:

Automotive and mobility
Semiconductors and electronics
Industrial automation
Robotics, aerospace, and advanced manufacturing

Sassine Ghazi, CEO of Synopsys, emphasized the need for deeper physics-electronics integration driven by AI-enabled computing.

Not an Exclusive Partnership

The companies confirmed the collaboration remains non-exclusive, meaning:

Nvidia continues partnerships across the broader semiconductor and EDA ecosystem
Synopsys maintains collaborations with multiple chipmakers and design partners

Joint Go-to-Market Initiatives

To drive adoption across global engineering teams, Nvidia and Synopsys plan to:

Develop joint commercialization programs
Deliver on-premise and cloud-ready engineering solutions
Expand access to AI-accelerated simulation and design workflows