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英伟达CEO黄仁勋:未来一切将通过虚拟孪生体来表现
Sou Hu Cai Jing· 2026-02-04 15:12
Core Insights - The collaboration between NVIDIA and Dassault Systèmes aims to create a blueprint for industrial AI based on physical "world models," enabling simulation before the construction of products, factories, and biological systems [2][3] - NVIDIA's CEO Jensen Huang emphasized that AI will become a fundamental infrastructure, akin to water, electricity, and the internet, enhancing engineers' capabilities significantly [2][5] - The partnership combines NVIDIA's accelerated computing and AI libraries with Dassault's virtual twin platform, transitioning more engineering work to real-time digital workflows supported by AI [2][4] Group 1: Collaboration Overview - The partnership marks the largest collaboration in over 25 years between NVIDIA and Dassault Systèmes, aiming to enhance engineering work by a factor of 100 to 1 million times [2][3] - Dassault's 3DEXPERIENCE platform serves over 45 million users and 400,000 customers, leading in virtual twin technology that allows engineers to simulate products and processes before physical construction [3][4] - The integration of NVIDIA's Omniverse physical AI library with Dassault's DELMIA virtual twin will create autonomous software-defined production systems [4] Group 2: Impact on Engineering - The collaboration is designed to enhance, not replace, engineers' capabilities, allowing them to leverage AI partners for exploratory and repetitive tasks [5][6] - Engineers will have a "partner team" that expands their creativity and leverage, rather than automating past processes [5][6] - The goal is to eliminate costly mistakes before they occur and to create entirely new product categories through the use of virtual twins and 3D universes [5][6] Group 3: Role of World Models - World models are scientifically validated AI systems based on physics, serving as critical platforms in biology, materials science, engineering, and manufacturing [6][7] - These models can learn the underlying "language" of complex systems, generating new options for evaluation and validation in simulations [6][7]