Cadence Enhances AI Data Center Design with NVIDIA DGX SuperPOD Digital Twin in Reality Platform Library

Cadence announced the addition of a digital twin model of NVIDIA DGX SuperPOD with DGX GB200 systems to its Cadence Reality Digital Twin Platform library. This model supports data center designers and operators in deploying NVIDIA’s accelerated computing platform for AI factories. The platform enables modeling of AI factories and data centers, accounting for constraints such as cost, space, energy, cooling, and environmental impact before physical implementation.

Michael Jackson, Senior Vice President of System Design and Analysis at Cadence, stated that the NVIDIA DGX SuperPOD model allows behavioral simulations of accelerated systems, reducing design time and supporting decision-making for critical projects. Tim Costa, General Manager of Industrial and Computational Engineering at NVIDIA, noted that the digital twin aids in accelerating AI factory buildouts as innovation paces increase.

The Cadence Reality Digital Twin Platform allows designers to integrate vendor-provided digital models into data center digital twins, enabling design to specific power, space, cooling, and performance requirements. Users can explore failure and upgrade scenarios, and the platform supports ongoing performance tracking throughout a data...