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NVIDIA Invests $2B in Synopsys to Accelerate AI-Driven Engineering Innovations

NVIDIA invests $2 billion in Synopsys to enhance AI-driven engineering, enabling faster, cost-effective product development across multiple industries.

NVIDIA and Synopsys, Inc. have unveiled an expanded strategic partnership designed to transform design and engineering across multiple industries. This collaboration aims to fuse NVIDIA’s AI and accelerated computing technologies with Synopsys’ renowned engineering solutions, enabling research and development teams to create intelligent products with greater speed, accuracy, and cost-efficiency. In a significant move, NVIDIA has invested $2 billion in Synopsys common stock, purchasing shares at a price of $414.79 each.

Engineering teams in diverse sectors—including semiconductors, aerospace, automotive, and industrial applications—are increasingly grappling with challenges such as intricate workflows, escalating development costs, and the urgent need to shorten time-to-market. By leveraging AI-powered computing alongside advanced engineering tools, this partnership seeks to address these issues, creating a robust foundation for more efficient product development.

“CUDA GPU-accelerated computing is transforming design—enabling simulations at unprecedented speed and scale, from atoms to transistors, from chips to complete systems, and creating fully functional digital twins inside the computer,” said Jensen Huang, founder and CEO of NVIDIA. “Our partnership with Synopsys harnesses the power of AI and accelerated computing to reimagine engineering, empowering innovators to invent extraordinary products that will shape the future.”

Sassine Ghazi, President and CEO of Synopsys, emphasized the importance of integrating electronics and physics to develop next-generation intelligent systems, stating, “Together, Synopsys and NVIDIA are uniquely positioned to deliver AI-powered system design solutions that empower engineers to efficiently realize their innovations.”

The expanded partnership includes several key initiatives aimed at enhancing engineering capabilities. First, Synopsys plans to utilize NVIDIA’s CUDA-X™ libraries and AI physics technologies to optimize compute-intensive applications, which span chip design, physical verification, molecular simulations, and electromagnetic analysis. Second, the integration of Synopsys’ AgentEngineer™ technology with NVIDIA’s AI stack—including NVIDIA NIM™, NeMo™ Agent Toolkit, and Nemotron™ models—will facilitate autonomous design and simulation workflows.

Furthermore, the partnership will focus on developing sophisticated digital twin solutions, which serve to bridge the physical and digital worlds, particularly in industries such as semiconductors, robotics, aerospace, automotive, energy, industrial applications, and healthcare. These solutions will leverage platforms like NVIDIA Omniverse™ and Cosmos™ for virtual testing and validation. Both companies also aim to deliver cloud-ready solutions that provide GPU-accelerated engineering capabilities to teams of all sizes.

In addition, NVIDIA and Synopsys will collaborate on joint go-to-market initiatives, leveraging Synopsys’ extensive global network of direct sellers and channel partners. The partnership will enable continuous licensing, selling, and support of NVIDIA Omniverse™ technology as part of Synopsys simulation solutions.

This strategic partnership is non-exclusive, allowing both NVIDIA and Synopsys to engage with the broader semiconductor and electronic design automation (EDA) ecosystem. By merging AI, accelerated computing, and advanced engineering tools, they are setting a new standard for engineering innovation, enabling companies to develop intelligent and complex products more efficiently than ever before.

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The AiPressa Staff team brings you comprehensive coverage of the artificial intelligence industry, including breaking news, research developments, business trends, and policy updates. Our mission is to keep you informed about the rapidly evolving world of AI technology.

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