Santa Clara, Calif. — December 1, 2025 — NVIDIA and Synopsys today announced a far-reaching strategic partnership designed to transform semiconductor design, engineering, and advanced manufacturing. As part of the collaboration, NVIDIA has invested $2 billion in Synopsys, reinforcing a shared vision for AI-accelerated chip development and next-generation system design tools.
The agreement brings together NVIDIA’s leadership in accelerated computing and AI with Synopsys’ world-leading electronic design automation (EDA) platforms. The companies will co-develop new AI-powered design solutions, integrate NVIDIA’s accelerated computing stack across Synopsys’ EDA workflows, and optimize chip development cycles from architecture exploration to physical verification.
The partnership aims to dramatically reduce the complexity, cost, and time required to develop advanced semiconductors. By integrating NVIDIA’s Blackwell and Rubin-generation GPU acceleration with Synopsys.ai and the Synopsys EDA Suite, engineering teams will be able to:
NVIDIA and Synopsys will also collaborate on cloud-optimized EDA solutions, allowing engineering teams to scale compute resources on demand across hybrid and multicloud environments.
NVIDIA’s $2B stake underscores the growing importance of AI-driven compute in the design and verification of increasingly complex chips. Industry demand for accelerated EDA is rising as semiconductor technologies approach physical limits and design costs surge beyond hundreds of millions of dollars per tape-out.
According to details reported by Reuters and CNBC, NVIDIA’s investment marks one of its largest strategic moves into the design-software ecosystem, strengthening its position across the entire semiconductor value chain—from AI training and inference to silicon design workflows.
Jensen Huang, Founder and CEO of NVIDIA, said the collaboration will help “revolutionize the way semiconductors, systems, and physical products are designed,” enabling engineers to fully harness accelerated computing and generative AI.
Sassine Ghazi, President and CEO of Synopsys, emphasized that integrating NVIDIA’s accelerated computing capabilities with Synopsys.ai “will redefine what is possible in chip design, from advanced node development to new 3D-packaging and system-level innovation.”
Beyond silicon design, the companies plan to extend AI-accelerated workflows to automotive, robotics, digital twins, and industrial engineering. Synopsys’ physics-based simulation tools and NVIDIA’s Omniverse and Modulus platforms will enable new real-time, end-to-end engineering environments.
Joint solutions from the NVIDIA–Synopsys partnership are expected to be introduced in phases beginning in 2026, with early-access programs for leading semiconductor and systems companies starting next year.
