Cadence and NVIDIA have expanded their partnership to reinvent engineering in the age of AI and accelerated computing. The collaboration combines agentic AI, physics-based simulation, and digital twins to significantly boost productivity across semiconductor design, physical AI systems, and hyperscale AI factories.
Cadence and NVIDIA are accelerating Cadence’s electronic design automation (EDA) and system design and analysis (SDA) solutions using NVIDIA CUDA-X, AI-physics, Omniverse libraries, and the Cadence Millennium M2000 Supercomputer powered by NVIDIA AI infrastructure. This integration leverages Cadence’s principled solvers with AI physics models to deliver engineering workflows with up to 100X speedup.
Leading organizations including Ascendence, Argonne National Laboratory, Honda R&D, Samsung, and SK Hynix are already using these accelerated solutions to bring products to market faster.
Cadence has introduced AgentStack, a head agent that orchestrates all aspects of semiconductor and system design. Building on the ChipStack AI Super Agent, AgentStack extends agentic AI capabilities beyond RTL design and verification into physical design, custom/analog design, migration, and system-level workflows.
AgentStack connects Cadence agents with EDA platforms running on NVIDIA accelerated computing and Nemotron models. Early adoption by NVIDIA in its own design flows is helping refine the platform for broader industry use. This shift from traditional script- and GUI-driven processes to agent-driven workflows is expected to compress design iteration cycles dramatically.
The partnership extends to physical AI by combining Cadence’s Physical AI Stack with NVIDIA’s robotics simulation libraries and accelerated computing. The joint solution aims to close the sim-to-real gap for robots and autonomous machines through high-fidelity multiphysics simulation and AI workflows integrated with NVIDIA Isaac Sim, Isaac Lab, and Cosmos models.
The coordinated workflow spans training orchestration, physics surrogate training, policy optimization, validation, and deployment feedback. Results are deployed on NVIDIA Jetson systems with live virtual twins enabling continuous monitoring and refinement, improving safety and confidence in real-world physical AI deployments.
Cadence and NVIDIA are developing digital twins for AI factories using the NVIDIA Omniverse DSX Blueprint. These digital twins help optimize large-scale Vera Rubin and Grace Blackwell AI factories by focusing on the critical metric of tokens per watt.
In a joint 10-megawatt AI factory use case, modeling reduced GPU power (MaxQ) showed up to 17% more tokens per watt. Combining MaxQ with warmer coolant demonstrated roughly 32% improvement. High-fidelity simulation of IT load, cooling, airflow, and control logic allows operators to maximize efficiency while respecting power and thermal constraints.
“Agentic AI and digital twins are reshaping the entire engineering landscape—from semiconductor design to planetary‑scale AI systems,” said Anirudh Devgan, president and chief executive officer, 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.
“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.”
Cadence will showcase these accelerated solutions, AgentStack, the Physical AI Stack, and AI factory digital twins at CadenceLIVE 2026.
About Cadence
Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Our design solutions, based on Cadence’s Intelligent System Design™ strategy, are essential for the world’s leading semiconductor and systems companies to build their next-generation products from chips to full electromechanical systems that serve a wide range of markets, including hyperscale computing, mobile communications, automotive, aerospace, industrial, life sciences and robotics. In 2024, Cadence was recognized by the Wall Street Journal as one of the world’s top 100 best-managed companies.
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