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Siemens and NVIDIA Expand Partnership to Build Industrial AI Operating System

LAS VEGAS: Siemens and NVIDIA expand their strategic partnership at CES 2026. The companies unveil plans to build an Industrial AI Operating System. The platform embeds artificial intelligence across the entire industrial lifecycle.

The system spans design, engineering, manufacturing, operations, and supply chains. It transforms how physical systems are conceived, built, and operated. NVIDIA provides AI infrastructure, simulation libraries, models, frameworks, and blueprints. Siemens commits hundreds of industrial AI experts alongside its hardware and software portfolio.

The companies plan to build the world’s first fully AI-driven, adaptive manufacturing site. The facility launches in 2026 at the Siemens Electronics Factory in Erlangen, Germany. The site uses an AI Brain powered by software-defined automation and NVIDIA Omniverse libraries. Factories continuously analyze their digital twins and test improvements virtually. They turn validated insights into operational changes on the shop floor.

Together, we are building the Industrial AI operating system, redefining how the physical world is designed, built, and run to scale AI and create real-world impact,

Roland Busch, President and CEO of Siemens AG.

Siemens launches Digital Twin Composer software, available on Siemens Xcelerator Marketplace mid-2026. PepsiCo uses the technology to simulate facility upgrades in the U.S. The deployment achieves a 20 percent increase in throughput. It identifies up to 90 percent of potential issues before physical modifications.

The partnership includes full GPU acceleration of Siemens’s simulation portfolio. In semiconductor design, the collaboration targets two-to-ten-times speedups in verification and layout workflows.

Generative AI and accelerated computing have ignited a new industrial revolution, transforming digital twins from passive simulations into the active intelligence of the physical world,

Jensen Huang, Founder and CEO of NVIDIA.

The companies jointly develop a repeatable blueprint for next-generation AI factories, balancing high-density computing demands with power, cooling, and automation requirements while optimizing the full lifecycle from planning to operations.

Anurag Shukla

Anurag Shukla is a Senior Journalist with over two decades of experience across television, digital, and print media. He has worked with leading national news organisations and has also served as a Research Officer in the Prime Minister’s Office (PMO), contributing to media research and policy-level content. A former journalism academic, Anurag brings strong editorial depth and a keen understanding of how technology, governance, and society intersect at Tea4Tech.