At the CadenceLIVE Silicon Valley 2026 event, Cadence announced an expanded partnership with NVIDIA. This collaboration focuses on driving next‑generation engineering through agentic AI and digital twin technologies. The companies aim to improve productivity for semiconductor design and AI factories. This initiative uses NVIDIA CUDA-X and the Cadence Millennium M2000 Supercomputer.
“Agentic AI and digital twins are reshaping the entire engineering landscape, from semiconductor design to planetary‑scale AI systems,” said Anirudh Devgan, president and CEO, Cadence. “Our expanded collaboration with NVIDIA accelerates the convergence of design and physical realization, connecting the Cadence AgentStack, Physical AI Stack, and AI factory digital twins with NVIDIA’s breakthroughs in accelerated computing to deliver unprecedented speed, accuracy, and trust in simulation and system development.
Advancements in AI Factory Digital Twins
The partnership introduces a head agent called AgentStack to orchestrate complex design workflows. This tool helps engineers transition from manual scripts to automated, reasoning-driven flows. Furthermore, the collaboration addresses physical AI by linking the Cadence Physical AI Stack with NVIDIA Isaac libraries. These tools help close the gap between virtual simulations and real-world robotic applications.
“We are at an inflection point in computing, CUDA-accelerated computing and AI are reinventing the engineering process,” said Jensen Huang, founder and CEO of NVIDIA. “For the first time, we can innovate in the digital world, exploring, testing, and optimizing ideas at unprecedented speed and scale, by building everything as full-fidelity digital twins first. Together, NVIDIA and Cadence are bringing this vision to life, transforming how engineers design, build, and operate the world.”
The collaboration also extends to large-scale AI factories to support next-generation engineering efforts. By using the NVIDIA Omniverse DSX Blueprint, customers can optimize tokens per watt. Modeling GPU operation at reduced power showed billions of dollars of potential incremental annual revenue per gigawatt. Organizations like Samsung and Honda R&D are already using these accelerated solutions. These efforts help teams bring advanced products to market with greater speed and accuracy. This data-driven approach allows operators to push AI factories toward maximum efficiency.
Explore IT Tech News for the latest advancements in Information Technology & insightful updates from industry experts!
News Source: Businesswire.com
