NVIDIA and Synopsys have announced an expanded strategic partnership aimed at transforming design and engineering processes across various sectors, including semiconductor, aerospace, automotive, and industrial industries. This collaboration seeks to address significant challenges faced by R&D teams, such as increasing workflow complexity, rising development costs, and pressure to reduce time-to-market.
The partnership will leverage NVIDIA’s strengths in AI and accelerated computing alongside Synopsys’ leading engineering solutions. This integration is expected to empower R&D teams to design, simulate, and verify intelligent products with enhanced precision, speed, and cost efficiency. In conjunction with this announcement, NVIDIA has also made a substantial investment of $2 billion in Synopsys common stock, purchasing shares at a price of $414.79 each.
This multiyear collaboration builds on an existing technology relationship and encompasses several initiatives aimed at further innovation. One area of focus will be the acceleration of Synopsys applications through NVIDIA’s CUDA-X™ libraries and AI physics technologies. The partnership aims to enhance Synopsys’ extensive portfolio of compute-intensive applications, which includes chip design, physical verification, molecular simulations, and electromagnetic analysis.
In addition, the integration of Synopsys’ AgentEngineer™ technology with NVIDIA’s agentic AI technology stack, including NVIDIA NIM™ microservices and NeMo™ Agent Toolkit software, is set to advance agentic AI engineering. This initiative seeks to enable autonomous design capabilities for electronic design automation (EDA) as well as simulation and analysis workflows.
The collaboration will also focus on creating highly accurate digital twins to bridge the gap between the physical and digital worlds, enhancing virtual design, testing, and validation processes. Industries such as semiconductor, robotics, aerospace, automotive, energy, and healthcare will benefit from this technology, which will utilize NVIDIA’s Omniverse™ and Cosmos™ platforms.
Furthermore, Synopsys and NVIDIA plan to make their accelerated engineering solutions cloud-ready, facilitating access for engineering teams of all sizes. This initiative aims to democratize the powerful capabilities of GPU-accelerated engineering solutions, enabling widespread market adoption.
To bolster this effort, the companies will develop joint go-to-market initiatives aimed at reaching engineering teams across multiple industries. This strategy will leverage Synopsys’ extensive global network of direct sellers and channel partners, which is already well-established in the market. This will build upon Synopsys’ broad customer base and existing agreements to license and support Omniverse technology within Synopsys simulation solutions.
While this partnership is significant, it is important to note that it is not exclusive. Both NVIDIA and Synopsys continue to engage with the broader semiconductor and EDA ecosystem to create shared growth opportunities for future engineering and design innovations.
In a statement, Jensen Huang, Founder and CEO of NVIDIA, emphasized the transformative potential of CUDA GPU-accelerated computing, stating, “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.” He added that the partnership aims to empower engineers to design extraordinary products that will shape the future.
Sassine Ghazi, President and CEO of Synopsys, echoed this sentiment, noting the increasing complexity and cost of developing next-generation intelligent systems. He stated, “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.” Ghazi emphasized that the partnership positions both companies well to deliver AI-powered holistic system design solutions, ultimately aiming to re-engineer engineering and empower innovators to realize their visions more effectively.
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