Universal Robots Cadence and NVIDIA Usher in a New Era in Engineering for the AI Age: Enhanced Collaboration

[Cengiz Özemli]

Cadence and NVIDIA have expanded their collaboration to advance AI-powered accelerated engineering solutions. This partnership integrates AI-based design, physical simulation, and digital twin technologies to elevate productivity in semiconductor design, physical AI systems, and large-scale AI factories to new levels.

### Key Areas of Collaboration

• Cadence is accelerating its comprehensive EDA (Electronic Design Automation) and SDA (System Design and Analysis) solutions with NVIDIA CUDA-X, AI physics, and Omniverse libraries.
• A 10x efficiency increase has been achieved with Cadence's ChipStack AI Super Agent, while the newly introduced AgentStack coordinates all chip and system design processes with AI agents.

### AgentStack and Semiconductor Design
AgentStack is a control center composed of AI agents covering all aspects of semiconductor and system design. This system accelerates complex design processes, reducing iteration times from days to hours.

### Physical AI and AI in Robotics
Cadence and NVIDIA are closing the "sim-to-real" gap in robotics by using embedded AI agents for physical AI, multi-physics simulations, robotic simulation libraries, and accelerated computing. This enables the development of safer and more effective AI-based physical systems.

### Digital Twins in AI Factories
The collaboration, through the NVIDIA Omniverse DSX Blueprint, enables the creation of digital twins to increase energy efficiency and optimize performance in large-scale AI factories. By optimizing power consumption with realistic scenario simulations, factories reduce cost per operation, offering billions of dollars in potential additional revenue.

With these innovations, Cadence and NVIDIA are redesigning engineering processes with real-time speed and accuracy in the digital world. Details will be shared with industry professionals at the CadenceLIVE 2026 event.