Cadence announced a significant expansion of its Cadence Reality Digital Twin Platform library with a digital twin of NVIDIA DGX SuperPOD with DGX GB200 systems. The new model of NVIDIA’s high-performance accelerated computing platform will allow data centre designers and operators to seamlessly deploy the AI accelerator in the buildout of AI factories.
Cadence’s Reality Digital Twin Platform is the first and only solution that enables users to model AI factories and data centres with high accuracy to a specified service-level agreement – accurately accounting for constraints such as cost, space, energy, cooling and environmental impact—all 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. “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.”
“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,” added 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.”
The Cadence Reality Digital Twin Platform enables the creation of high-fidelity data centre digital twins by allowing designers to drag and drop vendor-provided digital models, which function just like their physical counterparts, into their data centre digital twin.
Utilising these advanced digital models enables engineers to design entire data centres and campuses to specified power, space, cooling and performance requirements with high accuracy. Users can explore failure and upgrade scenarios with a few simple clicks. Once these data centres are up and running, this same Cadence Reality Digital Twin Platform can be used to track and maintain optimal performance as the data centers evolve throughout their lifecycle.
The addition of the NVIDIA DGX SuperPOD with DGX GB200 systems to the library is part of an ongoing collaboration between Cadence and NVIDIA. Earlier this year, the two companies announced the Cadence Reality Digital Twin Platform’s support of the NVIDIA Omniverse blueprint for AI factory design and operations. Cadence and NVIDIA continue to improve the data centre and AI factory build process by expanding the capabilities of the Cadence Reality Data Center Digital Ecosystem, ensuring it stays highly relevant to the latest design and operational needs of the engineers who use it.
