Cadence Expands AI Push with Nvidia and Google Cloud, Targets Robotics, Chips, and Quantum Systems

Cadence Expands AI Push with Nvidia and Google Cloud, Targets Robotics, Chips, and Quantum Systems

Cadence Design Systems unveiled a series of AI-focused collaborations at its CadenceLIVE event, deepening ties with Nvidia and introducing new integrations with Google Cloud to accelerate innovation in robotics, semiconductor design, and quantum computing.

The partnership with Nvidia centers on combining AI with physics-based simulation and accelerated computing. By integrating Cadence’s system design tools with Nvidia’s CUDA-X libraries and Omniverse simulation platform, engineers can model how complex systems—such as chips, data centers, and robotic machines—perform under real-world conditions before they are physically built. This approach aims to reduce costly trial-and-error deployment while improving system reliability.

A key focus of the collaboration is robotics development. Using simulation-generated data powered by accurate physics models, companies can train AI-driven robots in virtual environments instead of relying solely on real-world data. This method is already being adopted by major robotics firms to test production lines and automate workflows through digital twins.

Alongside this, Cadence introduced a new AI agent designed to automate the later stages of chip design, particularly physical layout processes. The system builds on earlier AI tools for front-end design and will be available via Google Cloud, combining Cadence’s automation software with advanced AI models to streamline design and verification. Early tests show productivity gains of up to ten times in some workflows.

In a separate announcement, Nvidia revealed its open-source “Ising” AI models, designed to support quantum computing development. These models aim to improve quantum error correction and system calibration, potentially making quantum machines more stable and scalable.

Together, these developments highlight a growing trend: AI is no longer just a tool for software—it is becoming central to designing the physical systems that power industries, from robotics to next-generation computing infrastructure.