{"id":135302,"date":"2026-03-12T15:00:51","date_gmt":"2026-03-12T15:00:51","guid":{"rendered":"https:\/\/blogs.nvidia.com\/?p=90659"},"modified":"2026-03-12T15:00:51","modified_gmt":"2026-03-12T15:00:51","slug":"into-the-omniverse-how-industrial-ai-and-digital-twins-accelerate-design-engineering-and-manufacturing-across-industries-2","status":"publish","type":"post","link":"https:\/\/webdomino.net\/index.php\/nvidia\/into-the-omniverse-how-industrial-ai-and-digital-twins-accelerate-design-engineering-and-manufacturing-across-industries-2\/","title":{"rendered":"Into the Omniverse: How Industrial AI and Digital Twins Accelerate Design, Engineering and Manufacturing Across Industries"},"content":{"rendered":"
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Editor\u2019s note: This post is part of <\/span><\/i>Into the Omniverse<\/span><\/i><\/a>, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advancements in <\/span><\/i>OpenUSD<\/span><\/i><\/a> and <\/span><\/i>NVIDIA Omniverse<\/span><\/i><\/a>.<\/span><\/i><\/p>\n

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.<\/span><\/p>\n

Earlier this month, <\/span>NVIDIA and Dassault Syst\u00e8mes<\/span><\/a> announced a partnership that brings together Dassault Syst\u00e8mes\u2019 Virtual Twin platforms, NVIDIA accelerated computing, AI physics open models and <\/span>NVIDIA CUDA-X<\/span><\/a> and <\/span>Omniverse<\/span><\/a> libraries. This allows designers and engineers to use virtual twins and companions \u2014 trained on physics-based world models \u2014 to innovate faster, boost efficiency and deliver sustainable products.<\/span><\/p>\n

Dassault Syst\u00e8mes\u2019 SIMULIA software now uses NVIDIA CUDA-X and AI physics libraries for AI-based virtual twin physics behavior \u2014 empowering designers and engineers to accurately and instantly predict outcomes in simulation.<\/span><\/p>\n

NVIDIA is adopting Dassault Syst\u00e8mes\u2019<\/span> model-based systems engineering<\/span><\/a> technologies to accelerate the design and global deployment of gigawatt-scale AI factories that are powering industrial and physical AI across industries. Dassault Syst\u00e8mes will in turn deploy NVIDIA-powered <\/span>AI factories<\/span><\/a> on three continents through its <\/span>OUTSCALE<\/span><\/a> sovereign cloud, enabling its customers to run AI workloads while maintaining data residency and security requirements.<\/span><\/p>\n

These efforts are already making a splash across industries, accelerating industrial development and production processes.<\/span><\/p>\n

Industrial AI Simulations, From Car Parts to Cheese Proteins\u00a0<\/b><\/h2>\n

Digital twins<\/span><\/a>, also known as virtual twins, and physics-based world models are already being deployed to advance industries.<\/span><\/p>\n

In automotive, Lucid Motors is combining cutting-edge simulation, AI physics open models, Dassault Syst\u00e8mes\u2019 tools for <\/span>vehicle and powertrain engineering <\/span>and digital twin technology to accelerate innovation in electric vehicles.\u00a0<\/span><\/p>\n

In life sciences, scientists and researchers are using virtual twins, Dassault Syst\u00e8mes\u2019 science-validated world models and the <\/span>NVIDIA BioNeMo<\/span><\/a> platform to speed molecule and materials discovery, therapeutics design and sustainable food development.<\/span><\/p>\n

The Bel Group is using technologies from Dassault <\/span>Syst\u00e8mes\u2019 <\/span>supported by NVIDIA to accelerate the development and production of healthier, more sustainable foods for millions of consumers.\u00a0<\/span><\/p>\n

The company is using Dassault Syst<\/span>\u00e8<\/span>mes\u2019 industry world models to generate and study food proteins, creating non-dairy protein options that pair with its well-known cheeses, including Baybel\u00ae. Using accurate, high-resolution virtual twins allows the Bel Group to study and develop validated research outcomes of food proteins more quickly and efficiently.<\/span><\/p>\n

Using accurate, high-resolution virtual twins allows the Bel Group to study and develop validated research outcomes of food proteins more quickly and efficiently.<\/span><\/p>\n

In industrial automation, <\/span>Omron<\/span><\/a> is using virtual twins and physical AI to design and deploy automation technology with greater confidence \u2014 advancing the shift toward digitally validated production.\u00a0<\/span><\/p>\n

In the aerospace industry, researchers and engineers at Wichita State University\u2019s National Institute for Aviation Research use virtual twins and AI companions powered by Dassault Syst\u00e8mes\u2019 Industry World Models and NVIDIA Nemotron open models to accelerate the design, testing and certification of aircrafts.<\/span><\/p>\n