Industrial Virtual Twins Powered by Dassault Systèmes, NVIDIA Partnership

At the 3DEXPERIENCE World event in Houston this week, Dassault Systèmes and NVIDIA announced a long-term strategic partnership to establish a "shared industrial architecture for mission-critical artificial intelligence across industries." The agreement will combine Dassault's Virtual Twin technologies with NVIDIA artificial intelligence infrastrucutre, open models and accelerated software libraries.

The integration will establish science-validated industry World Models, and new ways of working through skilled virtual companions on the agentic 3DEXPERIENCE platform, according to the companies.  

“We are entering an era where artificial intelligence does not just predict or generate, but  understands the real world. When AI is grounded in science, physics and validated  industrial knowledge, it becomes a force multiplier for human ingenuity,” said Pascal Daloz,  CEO of Dassault Systèmes. “Together with NVIDIA, we are building industry World Models that unite Virtual Twins and accelerated computing to help industry design, simulate and  operate complex systems in biology, materials science, engineering and manufacturing  with confidence. This partnership establishes a new foundation for industrial AI, one that is  trustworthy by design and capable of scaling innovation across the generative economy.” 

"Physical AI is the next frontier of artificial intelligence, grounded in the laws of the  physical world,” said Jensen Huang, founder and CEO of NVIDIA. “Together with Dassault  Systèmes, we’re uniting decades of industrial leadership with NVIDIA’s AI and Omniverse  platforms to transform how millions of researchers, designers and engineers build the  world’s largest industries.” 

Dassault Systèmes, with its OUTSCALE brand, is deploying AI factories as part of its sustainable and sovereign cloud strategy. OUTSCALE AI factories will harness the latest NVIDIA AI infrastructure on three continents, bringing additional capabilities to operate AI  models in the 3DEXPERIENCE platform, while ensuring data privacy, intellectual property protection and sovereignty of Dassault Systèmes’ customers. 

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 DSX Blueprint for large-scale AI factory deployment. 

This infrastructure will power Dassault Systèmes’ industrial Virtual Twins using NVIDIA open models and libraries, the company said. According to Dassault, this will provide benefits across industries, including: 

• Advancing Biology and Materials Research: The NVIDIA BioNeMoplatform combined with BIOVIA science-validated world models will accelerate the discovery of new molecules and next-generation materials. 
• AI-Driven Design and Engineering: SIMULIA AI-based Virtual Twin Physics Behavior leveraging NVIDIA CUDA-X libraries and AI physics libraries empowers designers and engineers to accurately and instantly predict outcomes. 
• Virtual Twins for Every Factory: NVIDIA Omniverse physical AI libraries integrated into the DELMIA Virtual Twin of global production systems enable autonomous, software-defined production systems.  
• Virtual Companions Supercharge Dassault Systèmes’ Users:: The 3DEXPERIENCE  agentic platform, combining NVIDIA AI technologies and NVIDIA Nemotron open models with Dassault Systèmes’ Industry World Models, powers Virtual Companions to tap into deep industrial context, delivering trusted, actionable  intelligence with industrial-scale efficiency. 

"This is the ambition of our partnership, by bringing together Simulia's expertise in high-fidelity multiphysics industrial simulation with NVIDIA accelerated computing, including NVIDIA CUDA-X libraries and AI physics architecture, in developing a virtual twin of physics behavior," said Florence Hu-Aubigny, executive vice president of research and development at Dassault. "This AI-based virtual twin embeds physics-based knowledge directly into the design process, enabling designers to predict real world performance in near real time and make informed decisions on performance, safety, efficiency and manufacturability without being simulation experts."

Sources: Press materials received from the company and additional information gleaned from the company’s website.