Dassault Systèmes and NVIDIA announced a long-term strategic partnership on February 3, 2026, in Houston, Texas, to build a shared industrial artificial intelligence platform designed to power virtual twin technologies across manufacturing, engineering, and scientific research.
The companies said the initiative aims to establish science-validated “Industry World Models” that combine AI infrastructure with physics-based simulation to support complex system design and operations.
The announcement was made during Dassault Systèmes’ annual 3DEXPERIENCE World conference, where company executives outlined how the collaboration will integrate accelerated computing, cloud-based AI factories, and industrial modeling platforms to support global customers operating in regulated and data-sensitive environments.
Strategic Framework for Industrial Artificial Intelligence
Partnership Scope and Platform Architecture
The partnership centers on combining Dassault Systèmes’ virtual twin technology with NVIDIA’s AI infrastructure, open models, and accelerated software libraries to create what the companies described as “Industry World Models.” According to the joint statement, these models are intended to link digital simulations with real-world physics, materials science, and engineering data.
Additionally, NVIDIA said it will adopt Dassault Systèmes’ model-based systems engineering approach to design and deploy large-scale AI factories, beginning with its Rubin platform and integrating those systems into the NVIDIA Omniverse deployment framework. The companies stated this structure is designed to support secure, scalable industrial AI operations across multiple sectors.
| Indicator | Recent Movement | Context |
|---|---|---|
| Partnership Scope | Announced February 2026 | Dassault Systèmes and NVIDIA confirmed a long-term collaboration at 3DEXPERIENCE World, according to the companies’ joint press release. |
| AI Factory Deployment | Multi-continent rollout | Dassault Systèmes’ OUTSCALE brand said it will deploy NVIDIA-powered AI factories across three continents to support secure cloud-based industrial modeling. |
| Engineering Integration | Platform adoption | NVIDIA stated it will use Dassault Systèmes’ model-based systems engineering methods to design and operate its AI factory infrastructure. |
Industry Applications and Research Integration
Science, Manufacturing, and Engineering Use Cases
The companies said the platform will support applications ranging from biological research and materials discovery to factory automation and engineering simulation. NVIDIA’s BioNeMo platform will be combined with Dassault Systèmes’ BIOVIA systems to accelerate molecular and materials modeling, according to the announcement.
Meanwhile, SIMULIA virtual twin physics tools will be linked with NVIDIA’s CUDA-X and AI physics libraries to enable faster predictive modeling for design and engineering teams.
The companies also said NVIDIA Omniverse libraries will be integrated into Dassault Systèmes’ DELMIA production systems to support software-defined and autonomous factory operations.
- Data Sovereignty: Dassault Systèmes said its OUTSCALE cloud strategy is designed to preserve customer data privacy and intellectual property protections.
- Research Acceleration: NVIDIA stated its AI platforms are intended to reduce time required for materials and biological modeling.
- Operational Automation: Both companies said virtual twin production systems could improve validation and deployment speed in manufacturing environments.
Global Industry Participation and Enterprise Adoption
Corporate and Academic Collaboration
Executives from manufacturing, automotive, and academic research organizations participated in the announcement, describing how the partnership could affect product development and certification processes.
Bel Group, OMRON, Lucid, and the National Institute for Aviation Research at Wichita State University were among the organizations cited in the release as early participants.
Additionally, company officials said virtual companion tools built on the 3DEXPERIENCE platform and NVIDIA’s Nemotron models are intended to provide engineers and researchers with contextual, AI-assisted insights tied directly to validated industrial data.
The firms stated this approach is aimed at improving compliance, design accuracy, and operational efficiency across regulated industries.
In Conclusion
The partnership between Dassault Systèmes and NVIDIA reflects a broader industry shift toward integrating artificial intelligence with physics-based simulation and secure cloud infrastructure.
By aligning industrial modeling platforms with accelerated AI systems, the companies said they aim to establish a scalable foundation for digital design, research, and manufacturing across global markets.
Sources: Dassault Systèmes Press Release, NVIDIA Corporate Announcement.
Prepared by Ivan Alexander Golden, Founder of THX News, an independent news organization delivering timely insights from global official sources.
Combines AI-analyzed research with human-edited accuracy and context.
