Nvidia, Dassault Systèmes to Build Industrial AI Platform

2025-12-15 · Source: aibusiness · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Robotics & Autonomous Systems · Depth: Novice, quick

Summary

Nvidia and Dassault Systèmes are partnering to develop an industrial AI platform that integrates virtual twin technology with accelerated AI infrastructure. Announced at 3DExperience World on February 4, 2026, this collaboration will combine Dassault Systèmes' 3DExperience platform and virtual twin capabilities with Nvidia's AI infrastructure, open models, and accelerated software libraries. The goal is to create science-validated "industry world models" for large-scale simulation, design, and use of complex systems across manufacturing, engineering, and life sciences. The platform will feature "virtual companions" like Aura, Leo, and Marie, which are agentic AI systems embedded in the 3DExperience platform, acting as AI experts to understand intent and orchestrate actions. Nvidia is also adopting Dassault Systèmes' model-based systems engineering for its own AI factory designs, starting with the Nvidia Rubin platform.

Key takeaway

For CTOs and VPs of Engineering evaluating industrial digital transformation, this partnership signals a shift towards integrated virtual twin and AI platforms. You should explore how "industry world models" and "virtual companions" could accelerate product validation and design, potentially reducing physical prototyping costs and time-to-market for complex systems in manufacturing or life sciences.

Key insights

The partnership combines virtual twin technology with AI to create science-validated industrial world models and AI companions.

Principles

• Validate products virtually before physical deployment.
• Integrate AI experts into design and engineering platforms.

Method

Integrate Dassault Systèmes' 3DExperience and virtual twin technologies with Nvidia's AI infrastructure, open models, and accelerated software libraries to build "industry world models" and "virtual companions."

In practice

• Simulate thermal dynamics and stress for aerospace engines.
• Predict maintenance and test modifications virtually.

Topics

• Industrial AI Platform
• Virtual Twin Technology
• NVIDIA AI Infrastructure
• 3DExperience Platform
• Agentic AI Systems

Best for: CTO, VP of Engineering/Data, Executive, AI Engineer, AI Product Manager, Director of AI/ML

Related on AIssential

• CEO Fireside Chat With Jensen Huang and Pascal Daloz at Dassault Systèmes 3DEXPERIENCE World — AI and virtual twins are converging to reinvent computing infrastructure and industrial processes at unprecedented scales.
• NVIDIA and SK Hynix: Partnering on Next‑Gen Memory for AI — Strategic partnerships are crucial for scaling AI infrastructure through co-development of advanced memory and AI-driven manufacturing.
• NVIDIA GTC 2026: Building The AI Value Chain — NVIDIA is vertically integrating the entire AI value chain, from silicon to physical AI, to establish AI as sustainable infrastructure.
• Jensen Huang and Satya Nadella's Conversation at Microsoft Build — NVIDIA and Microsoft are transforming PCs into personal AIs and scaling cloud agentic systems through deep collaboration.
• ABB Robotics Taps NVIDIA Omniverse to Deliver Industrial‑Grade Physical AI at Scale — ABB and NVIDIA are integrating physical AI and Omniverse into RobotStudio for industrial robotics simulation.
• Digital Twins Step Into the Metaverse — AI-driven digital twins, powered by Siemens and Nvidia, are transforming industrial operations with real-time simulation and optimization.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by aibusiness.