Cadence and NVIDIA have expanded their partnership to bring together agentic AI, physics-based simulation, and digital twins for faster engineering workflows. The collaboration is aimed at semiconductor design, physical AI systems, and AI factory development, with Cadence saying the move could speed up some workflows by up to 100 times.
Cadence and NVIDIA have deepened their long-running collaboration to push engineering design into a more AI-driven era. Announced at CadenceLIVE Silicon Valley 2026, the expanded partnership combines Cadence’s electronic design automation and system design tools with NVIDIA’s CUDA-X libraries, AI physics capabilities, and Omniverse digital twin technologies.
The companies say the goal is to improve productivity across semiconductor development, physical AI systems, and AI factory design. By linking Cadence’s Agentic AI stack, Physical AI stack, and digital twin offerings with NVIDIA’s accelerated computing platform, the two companies want to shorten design cycles while improving simulation quality and confidence.
Cadence also plans to use NVIDIA-powered infrastructure, including its Millennium M2000 Supercomputer, to accelerate solver performance and AI physics workloads. According to the announcement, the combined platform could deliver workflow speedups of up to 100 times in certain simulation and verification tasks.
The partnership is not limited to chips and electronics. Cadence and NVIDIA are also extending their work into robotics and autonomous systems, where they aim to narrow the “sim-to-real” gap by combining high-fidelity physics simulation with AI-driven training and validation.
This partnership strengthens the push toward AI-assisted engineering across multiple industries. It reflects how chip design, industrial systems, robotics, and digital twin development are converging around accelerated computing and simulation-first workflows.
For semiconductor and electronics teams, the biggest takeaway is faster iteration with better physics-based accuracy. For broader industrial users, it signals that digital twin design is becoming more central to how complex products and systems are developed and validated.
Cadence CEO Anirudh Devgan said, “Agentic AI and digital twins are reshaping engineering, while NVIDIA CEO Jensen Huang described the collaboration as part of a broader shift toward building and testing full-fidelity digital twins before moving to the real world.”
