NVIDIA and Synopsys have announced an expanded multi-year alliance that combines NVIDIA’s accelerated computing and AI platform with Synopsys’ engineering software suite spanning chips, systems, and multiphysics simulation. As part of this arrangement, NVIDIA invested $2 billion (about ₹16,700 crore) in Synopsys by purchasing common stock at $414.79 per share.
The companies structured the collaboration as non-exclusive, and they will work together on engineering and go-to-market programs designed to speed up simulation, verification, and product development across sectors, including semiconductors, aerospace, and automotive.
The partnership will accelerate Synopsys applications with NVIDIA CUDA-X libraries and AI physics to enhance compute-heavy workloads such as chip design, physical verification, and electromagnetic, optical, and molecular simulation. It will also advance agentic AI for design flows by connecting Synopsys AgentEngineer with NVIDIA’s agentic AI stack, which includes NIM microservices, the NeMo Agent Toolkit, and Nemotron models, enabling more autonomous EDA and analysis workflows.
Moreover, the companies will power next-generation digital twins through NVIDIA Omniverse and NVIDIA Cosmos so engineering teams can design, test, and validate complex systems virtually with greater precision. They will also offer cloud-ready access to GPU-accelerated engineering tools for organizations of varying sizes, backed by shared go-to-market programs.
Jensen Huang, founder and CEO of NVIDIA, said the collaboration will deliver “unprecedented speed and scale” to simulation from atomic-level modeling to full-system analysis. Meanwhile, Synopsys President and CEO Sassine Ghazi described it as a move towards AI-driven, holistic system design that merges electronics with physics.
India’s sizable semiconductor and systems R&D community already depends on Synopsys tools and NVIDIA GPU compute. Faster EDA runtimes and more accurate digital twins could shorten design cycles for domestic chip design centers, automotive engineering units, and industrial IoT firms, reducing iteration costs and advancing Make-in-India goals in electronics and mobility.
This announcement follows Synopsys’ acquisition of Ansys, which created a silicon-to-systems engineering powerhouse that spans EDA, IP, and multiphysics simulation, with initial integrated offerings expected in the first half of CY2026.
Additionally, Cadence recently expanded its collaboration with NVIDIA’s Grace Blackwell platform to accelerate engineering solvers and develop agentic AI for design, and it is adopting Omniverse blueprints for AI-factory digital twins. Siemens and NVIDIA also previewed an industrial technology stack that links Siemens Xcelerator with NVIDIA Omniverse to advance factory-scale digital twins.
