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

Source: NVIDIA AI Blog

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.

Accelerating Industry with AI, Digital Twins, and NVIDIA Technologies

Industrial AI, digital twins, AI‑driven physics, and accelerated AI infrastructure are empowering companies across sectors to design, simulate, and optimize products, processes, and facilities before they are built in the real world.

A New Partnership: NVIDIA & Dassault Systèmes

Earlier this month, NVIDIA and Dassault Systèmes announced a partnership that combines:

• Dassault Systèmes’ Virtual Twin platforms
• NVIDIA accelerated computing and AI‑physics open models
• CUDA‑X libraries
• Omniverse tools

This collaboration lets designers and engineers use virtual twins and AI‑trained companions—built on physics‑based world models—to innovate faster, boost efficiency, and deliver sustainable products.

SIMULIA Powered by NVIDIA

Dassault Systèmes’ SIMULIA software now leverages CUDA‑X and AI‑physics libraries for AI‑based virtual‑twin physics behavior, enabling designers and engineers to accurately and instantly predict simulation outcomes.

Model‑Based Systems Engineering & AI Factories

NVIDIA is adopting Dassault Systèmes’ model‑based systems engineering technologies to speed the design and global rollout of gigawatt‑scale AI factories that power industrial and physical AI across industries.

In turn, Dassault Systèmes will deploy NVIDIA‑powered AI factories on three continents through its OUTSCALE sovereign cloud, allowing customers to run AI workloads while meeting data‑residency and security requirements.

These initiatives are already making a splash across sectors, accelerating industrial development and production processes.

Industrial AI Simulations: From Car Parts to Cheese Proteins

Digital twins (also called virtual twins) and physics‑based world models are already being deployed to advance a wide range of industries.

Automotive

• Lucid Motors combines cutting‑edge simulation, AI‑driven physics models, Dassault Systèmes’ tools for vehicle and power‑train engineering, and digital‑twin technology to accelerate innovation in electric vehicles.

Life Sciences & Food

• Scientists use virtual twins, Dassault Systèmes’ science‑validated world models, and the NVIDIA BioNeMo platform to speed up molecule and material discovery, therapeutic design, and sustainable‑food development.
• The Bel Group leverages Dassault Systèmes’ industry world models (supported by NVIDIA) to generate and study food proteins, creating non‑dairy protein options that pair with its well‑known cheeses (e.g., Baybel®). High‑resolution virtual twins enable faster, more efficient research and validation of food‑protein outcomes.

Industrial Automation

• Omron employs virtual twins and physical AI to design and deploy automation technology with greater confidence, advancing digitally validated production.

Aerospace

• Researchers and engineers at Wichita State University’s National Institute for Aviation Research use virtual twins and AI companions powered by Dassault Systèmes’ Industry World Models and NVIDIA Nemotron open models to accelerate the design, testing, and certification of aircraft.

All examples illustrate how high‑fidelity digital twins are transforming product development, reducing time‑to‑market, and enabling more sustainable solutions across sectors.

Learning From and Simulating the Real World

Dassault Systèmes’ physics‑based Industry World Models are trained to possess PhD‑level expertise in fields such as biology, physics, and material science. This depth of knowledge enables the models to accurately simulate real‑world environments and scenarios, allowing teams to test industrial operations end‑to‑end—from supply chains to store shelves—before implementing changes in reality.

These virtual models support a wide range of workflows, including:

• DNA sequencing – see NVIDIA’s genomics resources here.
• Strengthening manufactured materials for vehicles and other products.

“Knowledge is encoded in the living world,” said Pascal Daloz, CEO of Dassault Systèmes, 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 (March 16‑19, San Jose). The event kicks off with NVIDIA founder and CEO Jensen Huang’s keynote on Monday, March 16 at 11 a.m. PT.

At the conference

• Industrial‑AI agenda – Explore hands‑on sessions, customer stories, and live demos.
• OpenUSD for physical‑AI simulation – Special session plus a full lineup of OpenUSD learning labs.
• Dassault Systèmes pavilion – Meet the team on the show floor and hear Florence Hu‑Aubigny (EVP of R&D) discuss how virtual twins are shaping the next industrial revolution.
• Developer community livestream – Join the live GTC stream on March 18 to ask questions, request deep dives, and chat with NVIDIA engineers.

Build industrial & physical AI applications

Attend these sessions for hands‑on guidance: