本月早些时候，英伟达与达索系统公司宣布建立合作伙伴关系，整合达索系统公司的虚拟孪生平台、英伟达加速计算、AI物理开放模型以及英伟达CUDA-X和Omniverse库。

Earlier this month, NVIDIA and Dassault Systèmes announced a partnership that brings together Dassault Systèmes’ Virtual Twin platforms, NVIDIA accelerated computing, AI physics open models and NVIDIA CUDA-X and Omniverse libraries.

工业人工智能、数字孪生、AI物理以及加速的AI基础设施正在赋能各行业企业，在现实世界建造之前，加速并扩展产品、流程与设施的设计、仿真与优化。达索系统（Dassault Systèmes）的SIMULIA软件现已采用NVIDIA CUDA-X和AI物理库，实现基于AI的虚拟孪生物理行为——使设计师与工程师能够准确且即时地预测仿真结果。NVIDIA正采用达索系统基于模型的系统工程技术，以加速千兆瓦级AI工厂的设计与全球部署，推动各行业工业与物理AI的发展。作为回应，达索系统将通过其OUTSCALE主权云，在三大洲部署由NVIDIA驱动的AI工厂，使客户在满足数据本地化与安全要求的前提下运行AI工作负载。这些举措已在各行业中产生显著影响，加速了工业发展与生产流程。数字孪生（又称虚拟孪生）及基于物理的世界模型已开始投入使用，推动产业进步。在汽车领域，Lucid Motors正结合前沿仿真技术、开放的AI物理模型、达索系统用于车辆与动力总成工程的工具以及数字孪生技术，加速电动汽车领域的创新。Bel集团则借助达索系统的技术（获得NVIDIA支持），加快健康、更可持续食品的研发与生产，惠及数百万消费者。通过使用精确、高分辨率的虚拟孪生，Bel集团能够更快速高效地研究并开发食品蛋白质的有效研究成果。在工业自动化领域，欧姆龙利用虚拟孪生与物理AI设计并部署自动化技术，增强信心，推动向数字化验证生产模式的转型。这些虚拟模型可协助研究人员与开发者完成从DNA测序到强化车辆制造材料等各类工作流程。欲了解如何构建工业与物理AI应用，请参加GTC大会的相关专题会议。

Industrial AI, digital twins, AI physics and accelerated AI infrastructure are empowering companies across industries to accelerate and scale the design, simulation and optimization of products, processes and facilities before building in the real world. Dassault Systèmes’ SIMULIA software now uses NVIDIA CUDA-X and AI physics libraries for AI-based virtual twin physics behavior — empowering designers and engineers to accurately and instantly predict outcomes in simulation. NVIDIA is adopting Dassault Systèmes’ model-based systems engineering technologies to accelerate the design and global deployment of gigawatt-scale AI factories that are powering industrial and physical AI across industries. Dassault Systèmes will in turn deploy NVIDIA-powered AI factories on three continents through its OUTSCALE sovereign cloud, enabling its customers to run AI workloads while maintaining data residency and security requirements. These efforts are already making a splash across industries, accelerating industrial development and production processes. Digital twins, also known as virtual twins, and physics-based world models are already being deployed to advance industries. In automotive, Lucid Motors is combining cutting-edge simulation, AI physics open models, Dassault Systèmes’ tools for vehicle and powertrain engineering and digital twin technology to accelerate innovation in electric vehicles. The Bel Group is using technologies from Dassault Systèmes’ supported by NVIDIA to accelerate the development and production of healthier, more sustainable foods for millions of consumers. Using accurate, high-resolution virtual twins allows the Bel Group to study and develop validated research outcomes of food proteins more quickly and efficiently. In industrial automation, Omron is using virtual twins and physical AI to design and deploy automation technology with greater confidence — advancing the shift toward digitally validated production. These virtual models can help researchers and developers with workflows ranging from DNA sequencing to strengthening manufactured materials for vehicles. Learn how to build industrial and physical AI applications by attending these sessions at GTC.