Dassault NVIDIA Partnership Merges Virtual Twin Tech With Industrial AI to Transform Engineering

Dassault NVIDIA Partnership Establishes New Foundation for Industrial AI

Dassault Systèmes and NVIDIA have announced a long-term strategic partnership that marks their largest collaboration in over a quarter century. Speaking at 3DEXPERIENCE World

3DEXPERIENCE World

in Houston, Jensen Huang

Jensen Huang

, NVIDIA founder and CEO, and Pascal Daloz

Pascal Daloz

, CEO of Dassault Systèmes, unveiled plans to build a shared industrial AI architecture that merges Virtual Twin technologies with AI infrastructure to redefine design, engineering and manufacturing workflows1

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The partnership combines Dassault Systèmes' Virtual Twin platforms, which serve more than 45 million users and 400,000 customers globally, with NVIDIA's accelerated computing, open models and accelerated software libraries1

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. Huang told the engineering-focused audience that artificial intelligence will become infrastructure like water, electricity and the internet, enabling engineers to work at scales 100 times, 1,000 times and eventually a million times greater than before1

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Science-Validated Industry World Models Ground AI in Physics

At the core of this collaboration are industry World Models—science-validated AI systems grounded in physics that can serve as mission-critical platforms across multiple domains2

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. Daloz emphasized that virtual twins are not merely applications but "knowledge factories" where information is created, tested and trusted before anything is built in the physical world1

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"We are entering an era where artificial intelligence does not just predict or generate, but understands the real world," Daloz stated. "When AI is grounded in science, physics and validated industrial knowledge, it becomes a force multiplier for human ingenuity"2

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. The partnership aims to move engineering work into real-time digital workflows where teams can explore, validate, prototype and iterate faster with AI companions that understand deep industrial context1

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AI Infrastructure Deployment Across Three Continents

Dassault Systèmes, through its OUTSCALE

OUTSCALE

brand, is deploying AI factories as part of its sustainable and sovereign cloud strategy. These OUTSCALE AI factories will harness the latest NVIDIA AI infrastructure on three continents, bringing capabilities to operate AI models in the 3DEXPERIENCE platform

3DEXPERIENCE platform

while guaranteeing data privacy, intellectual property protection and sovereignty for customers2

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In a notable technical exchange, NVIDIA is adopting Dassault Systèmes model-based systems engineering (MBSE) to design AI factories, starting with the NVIDIA Rubin platform and integrating into the NVIDIA Omniverse

NVIDIA Omniverse

DSX Blueprint for large-scale AI factory deployment3

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Four Pillars of AI-Driven Design and Engineering

The shared architecture will manifest across four key domains. For advancing biology and materials research, the NVIDIA BioNeMo

BioNeMo

platform combined with BIOVIA

BIOVIA

science-validated world models will accelerate the discovery of new molecules and next-generation materials2

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. In AI-driven design and engineering, SIMULIA AI-based Virtual Twin Physics Behavior leveraging NVIDIA CUDA-X

CUDA-X

libraries and AI physics libraries empowers designers and engineers to accurately and instantly predict outcomes2

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For manufacturing, NVIDIA Omniverse physical AI libraries integrated into the DELMIA Virtual Twin

DELMIA Virtual Twin

of global production systems enable autonomous, software-defined production systems2

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. A central theme emphasized by both executives is how factories themselves are transforming from static physical assets to living systems designed, simulated and operated as virtual twins1

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Skilled Virtual Companions Amplify Human Expertise

The 3DEXPERIENCE agentic platform, combining NVIDIA AI technologies and NVIDIA Nemotron

NVIDIA Nemotron

open models with Dassault Systèmes' industry World Models, powers skilled virtual companions that tap into deep industrial context, delivering trusted, actionable intelligence2

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. Huang described a future where every designer will have a "team of companions"—a shift he characterized as fundamentally positive for engineers and the broader ecosystem1

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Both executives stressed that the goal isn't to replace engineers but to amplify them. As AI agent companions take on more exploratory and repetitive tasks, designers and engineers gain leverage and creativity1

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. Huang framed the shift as a reinvention of the computing stack, moving from hand-specified, structured digital designs to systems that can generate, simulate and optimize in software at industrial scale1

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Industry Leaders Signal Adoption Across Materials Science and Manufacturing

Global companies are already positioning themselves to leverage this collaboration. Cécile Béliot, CEO of Bel Group, stated that through the NVIDIA-Dassault Systèmes collaboration, the company gains computational power to model and optimize products at scale, accelerating innovation while delivering on sustainability commitments2

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. Motohiro Yamanishi, President of Industrial Automation at OMRON, noted that addressing the growing complexity of modern manufacturing requires moving toward fully autonomous and digitally validated production systems2

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For the tens of millions of engineers who use Dassault Systèmes tools to design everything from aircraft to consumer packaged goods, this partnership signals a fundamental shift in how simulation, materials science and manufacturing workflows will operate. The collaboration positions Industrial AI as a mission-critical system of record rather than a point solution, with implications extending across biology, materials science, engineering and manufacturing sectors2

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