Dassault and NVIDIA Collaborate to Build Industrial AI Platform

Dassault Systèmes and NVIDIA have today announced a long-term strategic partnership aimed at creating a shared industrial artificial intelligence platform. This platform integrates science-based virtual twin technology with large-scale AI infrastructure to support applications across multiple sectors.

The companies stated that the collaboration seeks to advance industrial AI beyond single-product applications by grounding AI systems in physics, engineering constraints, and validated industrial knowledge. They describe this as forming an "Industry World Model," which can serve as a system of record for designing, simulating, and operating complex products and production systems.

The core of the partnership lies in combining Dassault Systèmes' virtual twin technology with NVIDIA's accelerated computing platform, AI models, and software libraries. Virtual twins are digital models that mirror real-world counterparts and utilize real-time data for simulation, prediction, and performance optimization.

The combined architecture is designed to support applications in fields such as biology, materials science, engineering, and manufacturing. It will also power a new generation of AI-driven "virtual companions" embedded within Dassault Systèmes' 3DEXPERIENCE platform for creating virtual twins.

The announcement was made at the 3DEXPERIENCE World conference in Houston, an annual user event hosted by Dassault Systèmes for design and engineering professionals.

This partnership builds upon nearly 25 years of collaboration between the two companies, beginning with Dassault's Catia design software running on NVIDIA graphics processors and later expanding to GPU-accelerated physics simulations using NVIDIA's CUDA and RTX technologies.

The new agreement reflects a trend the companies describe as a shift toward "Physical AI," where AI systems are engineered to understand and reason about the physical world, moving beyond merely processing text or images.

AI Factories

Dassault Systèmes announced it will deploy "AI Factories" across three continents using NVIDIA infrastructure under its Outscale cloud brand. These facilities will enable customers to train and operate AI models while maintaining data sovereignty, intellectual property protection, and compliance.

For its part, NVIDIA is adopting Dassault's model-based systems engineering tools to design its own AI factories, starting with the flagship NVIDIA Rubin platform. The same methodology will be applied to NVIDIA's Omniverse DSX blueprint for large-scale AI factory deployments.

The companies outlined several industry-specific use cases enabled by the platform. In life sciences, NVIDIA's BioNeMo platform will integrate with Dassault's BIOVIA science models for drug discovery and materials research. In engineering, Dassault's SIMULIA-based virtual twins will leverage NVIDIA CUDA-X libraries to provide near-real-time performance predictions for designers without simulation expertise.

In manufacturing, NVIDIA's Omniverse Physical AI libraries will be integrated with Dassault's DELMIA production system virtual twins to support autonomous, software-defined factories.

A central element of the partnership is AI-powered "virtual companions," which act as domain-specific assistants for business users, engineers, and scientists. These agents are designed to understand user intent, reason using the Industry World Model, and coordinate actions within workflows.

Executives from both companies emphasized that the partnership aims to define a long-term framework for industrial AI, rather than a single product launch. They believe that by combining validated virtual representations of the physical world with scalable AI infrastructure, the platform can make advanced simulation and AI-driven decision-making more widely accessible to professionals.