CEO Fireside Chat With Jensen Huang and Pascal Daloz at Dassault Systèmes 3DEXPERIENCE World
Summary
Dassault Systèmes and NVIDIA are expanding their 25-year partnership, integrating NVIDIA's CUDA X acceleration libraries, AI for physical and agentic AI, and Omniverse digital twin technologies into Dassault Systèmes' 3DEXPERIENCE platform. This collaboration aims to revolutionize design, simulation, and manufacturing by enabling real-time virtual twin capabilities at scales 100 to 1 million times greater than previously possible. Key applications include life sciences, where AI will learn the "language of life" (DNA, proteins) to generate new drugs and materials, and physics-aware AI models like Physics Nemo, which can predict physical behaviors 10,000 times faster. The partnership also focuses on software-defined factories, where entire manufacturing processes, including robots and operations, are simulated and optimized within virtual twins, representing a multi-trillion dollar industrial infrastructure buildout.
Key takeaway
For CTOs and VPs of Engineering evaluating next-generation design and manufacturing platforms, this expanded Dassault Systèmes-NVIDIA partnership signals a critical shift towards AI-driven, real-time virtual twin environments. Your teams should explore integrating these accelerated computing and AI capabilities to achieve previously impossible scales in product development, simulation, and factory operations, ensuring compliance by design and significantly reducing costly physical prototyping.
Key insights
AI and virtual twins are converging to reinvent computing infrastructure and industrial processes at unprecedented scales.
Principles
- AI is foundational infrastructure for every industry.
- Everything will be software-defined in the future.
- Virtual twins enable real-time, large-scale simulation.
Method
Integrate NVIDIA's accelerated computing, AI, and Omniverse digital twin technologies with Dassault Systèmes' 3DEXPERIENCE platform to create physics-aware AI models and software-defined virtual factories.
In practice
- Use virtual twins for real-time product design and simulation.
- Employ physics-aware AI for faster material and crash predictions.
- Design and operate factories entirely within virtual twin environments.
Topics
- AI Infrastructure
- Virtual Twin Technology
- Generative AI
- Physics-Aware AI
- AI Companions
Best for: Investor, CTO, VP of Engineering/Data, AI Engineer, Software Engineer, Director of AI/ML
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Editorial summary, takeaway, and curation by AIssential. Original article published by NVIDIA.