How the World’s Industries Are Being Transformed by Dassault Systèmes and NVIDIA

2026-02-03 · Source: NVIDIA · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

Dassault Systèmes is integrating NVIDIA AI models, CUDA-X, and Omniverse Libraries into its Virtual Twin Factories to accelerate design and engineering through "AI Physics." This collaboration aims to open new avenues for molecule and material discovery and facilitate the construction of complex, software-defined robotic factories. These factories will serve both product manufacturing and the creation of "AI Factories" for manufacturing intelligence. The initiative also introduces "AI Agents" as virtual companions to assist engineers and scientists, marking a new era for virtual twins powered by NVIDIA and brought to life by Dassault Systèmes.

Key takeaway

For CTOs and VPs of Engineering evaluating next-generation industrial design and manufacturing platforms, this collaboration signals a significant shift towards physics-grounded AI. You should explore how integrated virtual twin solutions can accelerate R&D cycles and enable more autonomous, intelligent factory operations within your organization.

Key insights

Physical AI, grounded in physics, is transforming industries through advanced virtual twin technologies.

Principles

• Virtual twins model and simulate the physical world.
• AI and physics integration accelerates discovery and design.

Method

Dassault Systèmes combines NVIDIA AI models, CUDA-X, and Omniverse Libraries with its Virtual Twin Factories to enable AI Physics and AI Agents.

In practice

• Design and engineer products with AI Physics.
• Discover new molecules and materials.
• Build software-defined robotic factories.

Topics

• Physical AI
• Virtual Twins
• NVIDIA Omniverse
• AI Agents
• Robotic Factories

Best for: Investor, CTO, VP of Engineering/Data, Director of AI/ML, AI Architect, Research Scientist

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