Dassault Systèmes and Nvidia have announced a long-term strategic alliance to establish a shared industrial architecture for mission-critical artificial intelligence across multiple sectors.
Combining Dassault Systèmes’ Virtual Twin technologies with Nvidia’s AI infrastructure, open models and accelerated software libraries will enable the creation of scientifically validated industrial World Models and new ways of working through expert virtual colleagues on the 3DEXPERIENCE agentic platform, empowering professionals with new capabilities.
“We are entering an era in which artificial intelligence not only predicts or generates, but understands the real world. When AI is based on science, physics and validated industrial knowledge, it becomes a multiplier of human ingenuity,” says Pascal Daloz, CEO of Dassault Systèmes. “Together with Nvidia, we are building industrial World Models that integrate Virtual Twins and accelerated computing to help industry confidently design, simulate and operate complex systems in fields such as biology, materials science, engineering and manufacturing. This alliance establishes a new foundation for industrial AI, reliable by design and capable of scaling innovation in the generative economy.”
For his part, Jensen Huang, founder and CEO of Nvidia, reveals that “Physical AI is the next frontier of artificial intelligence, based on the laws of the physical world. Together with Dassault Systèmes, we are uniting decades of industrial leadership with NVIDIA’s AI and Omniverse platforms to transform the way millions of researchers, designers and engineers build the world’s largest industries,” he concludes.
Accelerate industrial sectors
Dassault Systèmes, through its OUTSCALE brand, is deploying AI factories as part of its sustainable and sovereign cloud strategy. OUTSCALE AI factories will leverage NVIDIA’s most advanced AI infrastructure across three continents, bringing new capabilities to operate AI models on the 3DEXPERIENCE platform, while ensuring data privacy, intellectual property protection and sovereignty for Dassault Systèmes customers.
NVIDIA is adopting model-based systems engineering (MBSE) from Dassault Systèmes to design AI factories, starting with the NVIDIA Rubin platform and integrating into the NVIDIA Omniverse DSX Blueprint for large-scale AI factory deployment.
This infrastructure will power Dassault Systèmes’ industrial Virtual Twins, using open NVIDIA models and libraries and opening new opportunities in biology, materials science, engineering and manufacturing:
● Promoting the advancement of research in biology and materials: The NVIDIA BioNeMo platform, combined with BIOVIA’s scientifically validated World Models, will accelerate the discovery of new next-generation molecules and materials.
● AI-powered design and engineering: SIMULIA’s AI-based Virtual Twin Behavioral Physics, which leverages NVIDIA CUDA-X™ and physical AI libraries, enables designers and engineers to accurately and instantly predict outcomes.
● Virtual Twins for each factory: NVIDIA Omniverse physical AI libraries integrated into DELMIA’s Global Production Systems Virtual Twin make software-defined and autonomous production systems possible.
● Virtual companions that empower Dassault Systèmes users: The 3DEXPERIENCE agentic platform, which combines NVIDIA AI technologies and Nvidia Nemotron open models with Dassault Systèmes industrial World Models, powers the creation of virtual companions that are capable of leveraging deep industrial context, delivering reliable and actionable intelligence with industrial-scale efficiency.
The alliance elevates the existing collaboration between Dassault Systèmes and NVIDIA towards a shared, long-term vision for how industrial AI will be built, validated and deployed at scale, through a unique combination of Dassault Systèmes Virtual Twin factories and Nvidia AI technologies for all industries.
The future of the industry
“Bel Group is building a sustainable food future through responsible formulation and packaging. Thanks to the collaboration between Nvidia and Dassault Systèmes, we gain the computational power needed to model and optimize our products at scale, accelerating innovation and meeting our sustainability commitments,” says Cécile Béliot, CEO of Bel Group.
“To address the increasing complexity of modern manufacturing, the industry must move towards fully autonomous and digitally validated production systems,” says Motohiro Yamanishi, president of Industrial Automation at OMRON. “By combining NVIDIA’s physical AI frameworks with Dassault Systèmes’ Virtual Twin Factory and OMRON’s automation technologies, manufacturers can move from design to deployment with greater confidence and speed.”
This infrastructure will power Dassault Systèmes’ industrial Virtual Twins, using open NVIDIA models and libraries.
“Lucid’s award-winning engineering and technology continues to set new standards in the automotive industry, and Dassault Systèmes continues to be a key partner in enabling us to stay at the forefront of vehicle and powertrain engineering,” said Vivek Attaluri, vice president of Vehicle Engineering at Lucid. “Agility, speed of innovation and rapid iteration are critical to our workflows, and our exploration of AI-based Virtual Twin physics, powered by Nvidia’s open, physically-based AI models, has the potential to help our teams move from concept to production faster than ever, without sacrificing predictive accuracy. We look forward to continuing the collaboration and leveraging these new tools to support Lucid’s future innovations.”
“NIAR powers the next generation of aircraft. From asset digitization to design and manufacturing creation and validation, Virtual Twin technology introduces unprecedented capabilities and efficiencies. Dassault Systèmes virtual companions for engineering, supported by the 3DEXPERIENCE agentic platform using NVIDIA Nemotron open models and Dassault Systèmes industrial World Models, accelerate aircraft Virtual Twin synthesis. compliant by design. Using the platform to align the Virtual Twin with the means of compliance reduces certification efforts and preserves information sovereignty,” says Shawn Ehrstein, director of Emerging Technologies and CAD/CAM at the National Institute for Aviation Research, Wichita State University.
