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Dassault Systèmes has announced a partnership with leading US semiconductor company Nvidia to develop an industrial artificial intelligence platform that supports Virtual Twin technology. This technology creates digital replicas of real-world manufacturing environments, allowing for real-time simulation and optimization, according to the software firm yesterday.
The strategic alliance aims to merge Dassault’s Virtual Twin capabilities with Nvidia’s AI infrastructure, open models, and accelerated software libraries. The goal is to develop scientifically validated industry-wide World Models, enabling designers and professionals to gain new insights through intelligent virtual assistants integrated into Dassault’s 3DEXPERIENCE platform.
“Our collaboration with Nvidia is focused on creating industry World Models that combine Virtual Twins with high-speed computing to help experts across various sectors—such as biology, materials science, engineering, and manufacturing—design, simulate, and manage complex systems,” stated Pascal Daloz, CEO of the company headquartered in Vélizy-Villacoublay.
This partnership will also establish a new foundation for industrial AI, potentially driving significant innovation on a large scale within the emerging generative economy.
At the company’s recent annual summit, which focused on its SOLIDWORKS and 3DEXPERIENCE platforms, three AI assistants built on robust industrial-grade World Models were introduced. These tools aim to accelerate the integration of AI into industrial applications. Daloz mentioned that companies employing these AI solutions could see productivity increases of over ten times.
Nvidia CEO Jensen Huang, present at the event, highlighted that physical AI represents the next frontier in artificial intelligence. He estimated this sector could reach a market value of up to $9 trillion.
Huang told this publication that the next decade will see rapid growth in robotics and transformative shifts across the industry. For example, he predicted that factory automation will include robot systems of all sizes, including humanoid robots. These robots are expected to become what he called “general-purpose” or “intelligent,” with reasoning abilities such as understanding the need to open a door before picking up an object.
Currently, robots are programmed to perform narrowly defined tasks, mainly repetitive and simple ones, and are deployed at scale. However, Huang emphasized that many companies require smarter, more capable robots. With the joint industrial AI platform from Dassault and Nvidia, robots will be able to use AI-driven automation to learn from their environment and operate intelligently, much like humans and animals.
“This will enable companies of all sizes and across various industries to leverage AI for added value, rather than being left behind,” Huang stated.
As AI tools become more prevalent, the company’s business model may evolve. While software licensing has traditionally been the main revenue stream, the rise of AI could lead to new, usage-based pricing strategies, according to Daloz.
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