Siemens and NVIDIA Expand Partnership to Build the Industrial AI Operating System

Siemens and NVIDIA have announced a major expansion of their strategic partnership aimed at bringing artificial intelligence into real-world industrial applications. The collaboration focuses on developing industrial and physical AI solutions that will drive AI-powered innovation across industries and industrial workflows, while also accelerating the operations of both companies.

As part of the expanded partnership, NVIDIA will contribute its AI infrastructure, simulation libraries, models, frameworks, and reference blueprints, while Siemens will deploy hundreds of industrial AI specialists alongside its advanced hardware and software capabilities.

“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,” said Roland Busch, President and CEO of Siemens AG. “By combining NVIDIA’s leadership in accelerated computing and AI platforms with Siemens’ leading hardware, software, industrial AI and data, we’re empowering customers to develop products faster with the most comprehensive digital twins, adapt production in real time and accelerate technologies from chips to AI factories.”

“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,” said Jensen Huang, founder and CEO of NVIDIA. “Our partnership with Siemens fuses the world’s leading industrial software with NVIDIA’s full-stack AI platform to close the gap between ideas and reality — empowering industries to simulate complex systems in software, then seamlessly automate and operate them in the physical world.”

Accelerating the Entire Industrial Lifecycle

Siemens and NVIDIA will collaborate to develop AI-accelerated industrial solutions spanning the entire product and production lifecycle, enabling faster innovation, continuous optimization, and more resilient, sustainable manufacturing. The partners aim to create the world’s first fully AI-driven, adaptive manufacturing facilities, with the Siemens Electronics Factory in Erlangen, Germany, serving as the initial blueprint from 2026.

At the core of this initiative is an “AI Brain” that combines software-defined automation and industrial operations software with NVIDIA Omniverse™ libraries and NVIDIA AI infrastructure. This approach allows factories to continuously analyze their digital twins, virtually test enhancements, and translate validated insights into real-world operational improvements on the shop floor.

The result is faster, more reliable decision-making from design through deployment, boosting productivity while reducing commissioning time and operational risk. The companies plan to scale these capabilities across multiple industries, with several customers — including Foxconn, HD Hyundai, KION Group, and PepsiCo — already evaluating aspects of the technology.

As part of the expanded partnership, Siemens will complete GPU acceleration across its entire simulation portfolio and broaden support for NVIDIA CUDA-X™ libraries and AI physics models. This will enable customers to run larger and more precise simulations at greater speed. Building on this foundation, the collaboration will advance toward generative simulation using NVIDIA PhysicsNeMo™ and open models, enabling autonomous digital twins that support real-time engineering design and autonomous optimization.

Advancing Electronic Design Automation for Accelerated Computing

By applying industrial AI operating principles to semiconductor and AI factory environments, Siemens and NVIDIA aim to accelerate the core drivers of the AI revolution. Beginning with semiconductor design and building on NVIDIA’s extensive adoption of Siemens’ technologies, Siemens will integrate NVIDIA CUDA-X libraries, PhysicsNeMo, and GPU acceleration across its electronic design automation (EDA) portfolio. This integration will focus on verification, layout, and process optimization, targeting performance improvements of two to ten times across critical workflows.

The partnership will also introduce AI-assisted capabilities such as layout guidance, debugging support, and circuit optimization, enhancing engineering productivity while maintaining strict manufacturability standards. Together, these advancements will enable AI-native engines for design, verification, manufacturability, and digital-twin applications, helping to shorten design cycles, improve yields, and deliver more reliable outcomes.

Designing the Next Generation of AI Factories

Siemens and NVIDIA will also collaborate to develop a scalable, repeatable blueprint for next-generation AI factories, accelerating the industrial AI revolution and providing a high-performance foundation for their AI-accelerated industrial portfolios.

The blueprint is designed to address the demands of high-density computing by balancing power, cooling, and automation requirements, while ensuring optimal speed and energy efficiency across the entire lifecycle — from planning and design through deployment and ongoing operations.

This joint initiative brings together NVIDIA’s AI platform roadmap, AI infrastructure expertise, partner ecosystem, and NVIDIA Omniverse library-based simulation capabilities with Siemens’ strengths in power infrastructure, electrification, grid integration, automation, and digital-twin technologies. Together, the companies aim to accelerate deployment, enhance energy efficiency, and improve the resilience of industrial-scale AI infrastructure worldwide.

Optimizing Operations Through Shared Innovation

Siemens and NVIDIA plan to accelerate each other’s operations and portfolios by first deploying new technologies within their own systems before scaling them across industries. NVIDIA will evaluate and adopt Siemens solutions to streamline and optimize its operations and offerings, while Siemens will assess its workloads in collaboration with NVIDIA to accelerate performance and integrate AI across its customer portfolio. By enhancing their own systems and operations, both companies aim to create tangible proof points demonstrating value, scalability, and real-world impact for customers.