Cadence adds NVIDIA DGX SuperPOD digital twin for AI data center
Cadence has expanded its Reality Digital Twin Platform library with a new digital twin model of the NVIDIA DGX SuperPOD with DGX GB200 systems, giving data center designers the ability to simulate next-generation AI infrastructure before committing to physical deployments. The move strengthens Cadence’s positioning in the fast-growing AI factory market, where design accuracy, power efficiency and rapid scaling are critical.
This is a noteworthy development that brings together EDA expertise and NVIDIA’s accelerated computing platforms, enabling engineers to shorten design cycles and reduce risks in AI data center buildouts.
Expanding the digital twin ecosystem
The Cadence Reality Digital Twin Platform is billed as the first and only solution that models AI factories and data centers against specific service-level agreements, factoring in cost, space, energy, cooling, and environmental impact. By adding NVIDIA’s DGX SuperPOD with GB200 systems, Cadence is targeting customers who need accurate behavioral simulations of the most powerful AI infrastructure on the market.
“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. “With the addition of a digital model of NVIDIA’s DGX SuperPOD with DGX GB200 systems to our Cadence Reality Digital Twin Platform library, designers can model behaviorally accurate simulations of some of the most powerful accelerated systems in the world, reducing design time and improving decision-making accuracy for mission-critical projects.”
NVIDIA also highlighted the importance of the collaboration. “Creating the digital twin of our DGX SuperPOD with DGX GB200 systems is an important step in enabling the ecosystem to accelerate AI factory buildouts,” said Tim Costa, general manager, Industrial and Computational Engineering, NVIDIA. “This step in our ongoing collaboration with Cadence fills a crucial need as the pace of the innovation increases and time-to-service shrinks.”
Design and operations advantages
The platform enables engineers to drag and drop vendor-provided models into a virtual data center that behaves like its physical counterpart. As a result, it is possible to evaluate design trade-offs, test power and cooling strategies, and simulate failure or upgrade scenarios with minimal effort. Once deployed, the same models can be used to monitor and maintain optimal performance throughout the data center’s lifecycle.
The addition of NVIDIA’s DGX SuperPOD follows earlier support for the NVIDIA Omniverse blueprint for AI factory design and operations, reinforcing the ongoing partnership between the two companies. Cadence says its library now includes more than 14,000 items from over 750 vendors, covering most mainstream data center components. Customers can also request the creation of missing parts as part of standard support.
Showcasing at AI Infra Summit
Cadence will showcase the expanded platform at the AI Infra Summit in Santa Clara from September 9–11. Demonstrations will be available, alongside multiple speaking sessions, including a panel on power-efficient chip design, a keynote on AI for design, and a talk on simulation-driven AI data center operations.
With AI factories scaling at unprecedented speed, the ability to validate design choices in silico before committing to hardware may prove decisive for operators across Europe and beyond.
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