Cadence and NVIDIA Revolutionize Engineering in the Age of AI with Collaboration

[Ahmet Ö.]

Cadence and NVIDIA are expanding their collaboration to rewrite engineering processes with AI-powered accelerated solutions. This partnership combines agent-based AI, physics-based simulation, and digital twin technologies to deliver new levels of efficiency in semiconductor, physical AI systems, and large-scale AI factories.

### Partnership Details
Cadence and NVIDIA are expanding their collaboration at CadenceLive Silicon Valley 2026, integrating Cadence's leadership in EDA (Electronic Design Automation) and SDA (System Design and Analysis) with NVIDIA's CUDA-X, AI physics, and Omniverse digital twin libraries. This accelerates both design and physical implementation processes and increases engineering productivity.

### AgentStack: Agentic AI in Next-Generation Semiconductor Design
Cadence has developed a chief agent called AgentStack, built on the ChipStack AI Super Agent. AgentStack can manage long-running multi-agent workflows, extending beyond design and verification to physical design, custom/analog design, and system-level applications. NVIDIA tests and optimizes this flow in real-world conditions, making it ready for broad industry applications.

### Embedded Agentic AI for Physical AI
The collaboration combines Cadence's Physical AI Stack with NVIDIA's robotic simulation libraries and accelerated computing infrastructure, providing end-to-end workflows for robots and autonomous machines that cover simulated real-world scenarios. This technology makes processes safe and fast, from training to deployment, with real-world feedback.

### Cost and Efficiency Optimization with Digital Twins in AI Factories
Through the integration of NVIDIA Omniverse DSX Blueprint, Cadence creates and simulates digital twins of large-scale AI factories, increasing energy efficiency with the goal of "lowest energy cost per token." In a 10-megawatt example application, power consumption was optimized, demonstrating potential energy savings of up to 17% and billions of dollars in additional revenue.

### Conclusion
The expanding collaboration between Cadence and NVIDIA offers revolutionary accelerated solutions in areas ranging from engineering design to physical AI and large-scale AI production. This partnership enables engineers to develop next-generation products faster, with confidence, and with high efficiency.