Cadence Expands Reality Digital Twin Platform with NVIDIA DGX SuperPOD with DGX GB200 Systems
Cadence today announced a major expansion of its Cadence® Reality™ Digital Twin Platform library with the addition of a digital twin of NVIDIA DGX SuperPOD™ with DGX GB200 systems. This new model of NVIDIA’s accelerated computing platform empowers data center designers and operators to streamline the deployment of AI factories—optimizing for performance, efficiency, and scalability.
The Cadence Reality Digital Twin Platform is the only solution that enables users to model AI factories and data centers with service-level precision, taking into account constraints such as cost, space, energy, cooling, and environmental impact before physical implementation.
Rapidly scaling AI requires confidence that you can meet your design requirements with the target equipment and utilities,” said Michael Jackson, senior vice president, System Design and Analysis, Cadence. “By adding a digital model of NVIDIA’s DGX SuperPOD with DGX GB200 systems, we enable behaviorally accurate simulations of some of the world’s most powerful accelerated systems—reducing design time and improving decision-making for mission-critical projects.”
Tim Costa, general manager of Industrial and Computational Engineering at NVIDIA, added:
Creating the digital twin of our DGX SuperPOD with DGX GB200 systems is a key step in accelerating AI factory buildouts. Our ongoing collaboration with Cadence addresses a crucial need as innovation speeds up and time-to-service shortens.”
A More Intelligent Approach to Data Center Design
With Cadence Reality, designers can drag and drop vendor-provided models—digital replicas that behave like physical components—into their virtual data centers. This allows engineers to:
- Design entire data centers and campuses to meet exact power, space, cooling, and performance requirements.
- Run simulations for failure, upgrade, and lifecycle scenarios with just a few clicks.
- Continuously monitor and optimize performance once facilities are live.
This NVIDIA integration builds on earlier collaboration between Cadence and NVIDIA, including support for the NVIDIA Omniverse™ blueprint for AI factory design and operations. Together, the companies are advancing digital twin technology to help engineers design, deploy, and manage AI infrastructure more efficiently.
The Cadence Reality library now includes more than 14,000 items from 750+ vendors, with new parts added on request.
Cadence at AI Infra Summit
Cadence will showcase its Reality Digital Twin Platform at the AI Infra Summit, September 9–11 at the Santa Clara Convention Center (Booth #409). Highlights include:
- Panel (Sept. 9, 2:35 p.m. PDT): “Chip Design: Designing Power Efficient Chips – from the Edge to the Data Center” moderated by Cadence Fellow, Badarinath Kommandur.
- Keynote (Sept. 10, 10:55 a.m. PDT): “Design for AI and AI for Design” presented by Cadence AI Fellow, Charles Alpert.
- Talk (Sept. 10, 2:20 p.m. PDT): “AI Data Center Operations: Simulation-Driven Data Center Design, Operations and Risk Management” by Cadence Group Director, Sherman Ikemoto.
