Stellantis deploys Nvidia digital twins

Stellantis said on May 18 it plans a strategic initiative with Accenture to deploy AI-enabled digital twins using Nvidia technology across its global manufacturing footprint. The automaker said the effort will use Nvidia’s Omniverse libraries and accelerated computing to build virtual manufacturing environments fed by real-time data. Accenture is providing digital manufacturing and physical AI capabilities, while Stellantis said the first pilots will begin at selected North American plants in 2026. ### What is Stellantis actually putting into its plants? Stellantis said the project centers on plant-level digital twins — virtual replicas of factories that can simulate operations before changes are made on the line. The company said those environments are meant to help teams validate manufacturing processes before physical installation, monitor quality metrics and support predictive oversight of equipment and workflows. (newsroom.accenture.com) Nvidia’s role is the computing and simulation stack. Accenture said the initiative combines Stellantis’ factory operations data with Nvidia software and compute so plant teams can model layouts, flows and process changes in a shared virtual environment. ### Why are Accenture and Nvidia in the middle of this? Accenture said on May 18 that it is pairing its digital manufacturing services with Nvidia’s industrial AI tools for the deployment. (media.stellantis.com) Tracey Countryman, Accenture’s supply chain and engineering global lead, said manufacturers are trying to scale AI “across complex industrial operations” in ways that produce measurable business value. (newsroom.accenture.com) Nvidia has been pushing Omniverse as a platform for industrial simulation, and Stellantis said the partnership is aimed at “next-generation virtual manufacturing environments powered by real-time data and artificial intelligence.” That framing puts the project beyond maintenance dashboards and into factory-wide simulation and orchestration. (newsroom.accenture.com) ### What does Stellantis say it wants to improve? Francesco Ciancia, Stellantis’ head of manufacturing, said the company is “laying the foundation for the next generation of manufacturing at Stellantis.” He said the combination of digital twins, AI and advanced simulation is intended to help the automaker “design, operate and continuously improve” production systems, while giving teams faster ways to anticipate issues and make decisions. (media.stellantis.com) Automotive World reported that the rollout is intended to optimize operations in real time, with initial deployments informing a broader rollout. Other coverage based on the company announcement said the system is being positioned to improve quality control, reduce downtime and shorten learning cycles as Stellantis tests whether the model can scale across its global network. ### Why does this matter beyond one automaker? (media.stellantisnorthamerica.com) Stellantis is one of the world’s largest carmakers, with brands including Jeep, Ram, Chrysler, Peugeot, Fiat and Opel, so a plant-wide deployment gives a large test case for digital-twin manufacturing across multiple regions and production systems. The announcement also adds another industrial customer to Nvidia’s push beyond data centers into factory and robotics software. (automotiveworld.com) For manufacturers watching from outside autos, the announcement shows large-scale plant simulation moving closer to live production management. The companies said the work will begin with North American pilots in 2026 and then be assessed for wider use across Stellantis plants globally. ### What happens next, and when? Selected North American plants are scheduled to begin pilot deployments in 2026, according to Stellantis and Automotive World. (aibusiness.com) Stellantis said those pilots will be used to evaluate scalability across its international manufacturing footprint before any broader rollout decision. (automotiveworld.com)