Nvidia and Dassault Systèmes combine digital twins and AI in industry world models

Nvidia currently designs and simulates its own data centers with Dassault Systèmes MBSE, and, he said, even runs the network and the supercomputers inside the virtual twin before breaking ground.

“That allows us to save tons of time and tons of money, and over time, of course, this data center has an AI that keeps it optimal,” Huang said. “So we’re going to have virtual twins of these AI factories running forever, training and updating our models.”

Functional partnership

The process of simulating a factory in a virtual twin is “extraordinarily complex,” noted Bill Curtis, IoT and edge analyst in residence at Moor Insights & Strategy. “Nvidia and Dassault Systèmes are defining an industrial physical AI computing stack: a shared, physics-validated digital-twin world model running on large-scale, AI-accelerated Nvidia infrastructure. This stack enables customers to design, validate, and operate factories, products, and even biological systems in virtual space before and after they exist physically.”