Into the Omniverse: How Industrial AI and Digital Twins Accelerate Design, Engineering and Manufacturing Across Industries

Editor's note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advancements in OpenUSD and NVIDIA Omniverse.

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.

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

Dassault Syst mes' 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 Syst mes' 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 Syst mes 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.

Industrial AI Simulations, From Car Parts to Cheese Proteins 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 Syst mes' tools for vehicle and powertrain engineering and digital twin technology to accelerate innovation in electric vehicles.

In life sciences, scientists and researchers are using virtual twins, Dassault Syst mes' science-validated world models and the NVIDIA BioNeMo platform to speed molecule and materials discovery, therapeutics design and sustainable food development.

The Bel Group is using technologies from Dassault Syst mes' supported by NVIDIA to accelerate the development and production of healthier, more sustainable foods for millions of consumers.

The company is using Dassault Syst mes' industry world models to generate and study food proteins, creating non-dairy protein options that pair with its well-known cheeses, including Babybel. Using accurate, high-resolution virtual twins allows the Bel Group to study and develop validated research outcomes of food proteins more quickly and efficiently.

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.

In the aerospace industry, researchers and engineers at Wichita State University's National Institute for Aviation Research use virtual twins and AI companions powered by Dassault Syst mes' Industry World Models and NVIDIA Nemotron open models to accelerate the design, testing and certification of aircrafts.

Learning From and Simulating the Real World Dassault Systemes' physics-based Industry World Models are trained to have PhD-level knowledge in fields like biology, physics and material sciences. This allows them to accurately simulate real-world environments and scenarios so teams can test industrial operations end to end - from supply chains to store shelves - before deploying changes in the real world.

These virtual models can help researchers and developers with workflows ranging from DNA sequencing to strengthening manufactured materials for vehicles.

Knowledge is encoded in the living world, said Pascal Daloz, CEO of Dassault Systemes, during his 3DEXPERIENCE World keynote. With our virtual twins, we are learning from life and are also understanding it in order to replicate it and scale it.

Get Plugged In to Industrial AI Learn more about industrial and physical AI by registering for NVIDIA GTC, running March 16-19 in San Jose, kicking off with NVIDIA founder and CEO Jensen Huang's keynote address on Monday, March 16, at 11 a.m. PT.

At the conference:

Explore an industrial AI agenda packed with hands-on sessions, customer stories and live demos.

Dive into the world of OpenUSD with a special session focused on OpenUSD for physical AI simulation, as well as a full agenda of hands-on OpenUSD learning sessions.

Find Dassault Syst mes in the industrial AI and robotics pavilion on the show floor and learn from Florence Hu-Aubigny, executive vice president of R&D at Dassault Systemes, who'll present on how virtual twins are shaping the next industrial revolution.

Get a live look at GTC with our developer community livestream on March 18, where participants can ask questions, request deep dives and talk directly with NVIDIA engineers in the chat.

Learn how to build industrial and physical AI applications by attending these sessions at GTC.

Watch NVIDIA CEO Jensen Huang's Keynote Hear from NVIDIA CEO Jensen Huang live on stage at SAP Center. Arrive early to catch the GTC Live 2026 pregame show for an insightful discussion on the latest in AI, accelerated computing and transformative tech with industry leaders.

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