Nvidia, Dassault Systèmes to build industrial AI platform

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Nvidia, Dassault Systèmes to build industrial AI platform

Nvidia and software company Dassault Systèmes are partnering to create an industrial AI platform, combining virtual twin technology with accelerated AI infrastructure.

The partnership was announced today at 3DXperience World, Dassault Systèmes’ annual design and engineering event.

Under the collaboration, Dassault Systèmes’ 3DExperience platform and virtual twin technologies will be integrated with Nvidia’s AI infrastructure, open models and accelerated software libraries to create what the companies describe as science-validated “industry world models”.

Models are designed to support large-scale simulation, design, and use of complex systems in manufacturing, engineering, and life sciences.

“The Virtual Twin is a scientific, multi-disciplinary and multi-layered representation that is fully testable under real conditions before anything comes into existence,” Florence Hu, executive vice president of research and innovation at Dassault Systèmes, said during a pre-briefing.

Connected:Siemens unveils tech pipeline to accelerate industrial AI

Hu said this capability allows companies to holistically validate products before physical deployment and enable industrial transformation from the beginning of the project.

“For an aerospace manufacturer designing a new engine, the Virtual Twin is not just a 3D model. It simulates thermal dynamics, stresses, loads and performance under real flight conditions,” he said. “Before a single physical prototype exists, you can know whether it will work or not and the virtual world allows you to predict maintenance and test any modifications.”

Another central feature of the platform is the introduction of “virtual companions”, agentic AI systems embedded in the 3DExperience platform. Hu said these partners act as AI experts who “understand the purpose, reason with industry models, and organize tasks.”

Three of these models have already been developed: Aura for business, Leo for engineering tasks, and Mary for scientific use cases.

Hu described this shift as a move from SaaS to “agents as a service”, enabled by Nvidia’s AI models and orchestration tools, and touted it as a transformational tool.

“Without large-scale AI factories, there are no virtual twin factories, no industry world model and no virtual partner,” he said. “This partnership is not just a technology integration, it is a shared vision of how AI will transform industry through science and validated, trusted intelligence.”

The expanded collaboration also reflects Nvidia’s effort in physical AI.

The company is adopting Dassault Systèmes’ model-based systems engineering approach to designing its own AI factories, starting with the Nvidia Rubin platform and integrating into Nvidia’s Omniverse blueprint for large-scale AI factory deployments.

Connected:Hyundai, Nvidia build $3B AI factory with Blackwell GPUs

“Together with Dassault Systèmes, we are changing the way millions of researchers, designers and engineers build the world’s largest industries,” Jensen Huang, Nvidia founder and CEO, said in a statement. Press release.

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