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Dassault Systèmes and Nvidia Forge Long‑Term Partnership for Industrial AI

Dassault Systèmes and Nvidia unveil a long‑term collaboration that merges virtual twin technology with AI infrastructure, creating industry‑wide “world models” for design, simulation, and manufacturing.
3 February 2026 by
TechStora Editorial Board

Overview of the partnership

Dassault Systèmes SA and Nvidia Corp. announced a strategic, long‑term alliance aimed at creating a shared industrial artificial‑intelligence platform. The collaboration merges Dassault’s science‑based virtual twin technologies with Nvidia’s accelerated computing, AI models, and software libraries.

Key components of the integrated platform

  • Virtual twins that mirror real‑world assets in real time.
  • Nvidia Omniverse physical‑AI libraries for scalable AI processing.
  • AI‑powered “virtual companions” that act as domain‑specific assistants.
  • Integration with Dassault’s 3DExperience and Delmia solutions.

Applications across industries

The architecture supports use cases in biology, materials science, engineering, and manufacturing. By grounding AI in physics, engineering constraints, and validated industrial knowledge, the platform enables “industry world models” that serve as systems of record for design, simulation, and operation.

Physical AI and virtual companions

The partnership promotes a shift toward “physical AI,” where AI systems reason about the physical world rather than only text or images. Virtual companions understand user intent, leverage world models, and orchestrate actions across workflows, helping engineers, scientists, and business users.

Implications for manufacturing

In manufacturing, Nvidia’s Omniverse libraries will be integrated with Dassault’s Delmia virtual twins of production systems, enabling autonomous, software‑defined factories and more efficient decision‑making.

Future outlook

Both companies emphasize that this collaboration defines a long‑term framework for industrial AI, not a single product launch. By combining validated digital representations with scalable AI infrastructure, the platform aims to democratize advanced simulation and AI‑driven decision‑making for a broader set of professionals.