The Industrial AI Operating System is emerging as the next foundation for global manufacturing, and Siemens and NVIDIA are positioning themselves at the center of this transformation.
At CES, the two companies announced a major expansion of their strategic partnership aimed at embedding artificial intelligence across the entire industrial value chain, from product design and engineering to manufacturing, operations, and supply chains.
With this expanded collaboration, Siemens and NVIDIA plan to bring industrial and physical AI into real-world workflows at unprecedented scale. The goal is not incremental automation, but a complete reinvention of how products are designed, built, and operated.
By combining NVIDIA’s accelerated computing platforms with Siemens’ industrial software, hardware, and domain expertise, the partners aim to make AI a core operating layer for industry.
At the heart of the announcement is the ambition to jointly build the Industrial AI Operating System. Siemens will contribute hundreds of industrial AI experts, along with its market-leading automation, simulation, and digital twin technologies. NVIDIA, in turn, will provide AI infrastructure, Omniverse simulation libraries, AI models, frameworks, and reference blueprints that enable real-time intelligence in physical systems.
According to Siemens CEO Roland Busch, the collaboration is about redefining the physical world through AI. By integrating AI deeply into industrial workflows, companies can design products faster, run richer digital twins, and adapt production processes in real time. This approach promises faster innovation cycles and more resilient manufacturing systems, especially in complex and volatile supply chains.
A key focus of the partnership is accelerating the entire industrial lifecycle. Siemens and NVIDIA are working toward building the world’s first fully AI-driven, adaptive manufacturing sites.
The first blueprint is scheduled to go live in 2026 at the Siemens Electronics Factory in Erlangen, Germany. This facility will serve as a reference model for future AI-powered factories worldwide.
These next-generation factories will be powered by what the companies describe as an “AI Brain.” Built on software-defined automation, industrial operations software, NVIDIA Omniverse libraries, and NVIDIA AI infrastructure, this AI Brain will continuously analyze digital twins of factories. It will test improvements virtually and then deploy validated insights directly onto the shopfloor, closing the loop between simulation and execution.
The result is faster and more reliable decision-making across design, commissioning, and operations. By reducing manual intervention and enabling continuous optimization, the Industrial AI Operating System is expected to boost productivity while lowering commissioning time, risk, and operational costs. Early interest is already strong, with companies such as Foxconn, HD Hyundai, KION Group, and PepsiCo evaluating parts of the portfolio.
Simulation and digital twins play a central role in this strategy. Siemens will complete GPU acceleration across its entire simulation portfolio and expand support for NVIDIA CUDA-X libraries and AI physics models.
This enables customers to run larger, more accurate simulations at significantly higher speeds. Building on this, the partners plan to advance toward generative simulation using NVIDIA PhysicsNeMo and open models, creating autonomous digital twins capable of real-time engineering and optimization.
The partnership also extends deeply into electronic design automation. By applying industrial AI logic to semiconductors and AI factories, Siemens and NVIDIA aim to accelerate the very engines powering the AI revolution.
Siemens will integrate NVIDIA GPU acceleration, CUDA-X libraries, and AI models across its EDA tools, targeting two to ten times speed improvements in verification, layout, and process optimization workflows.
In addition, AI-assisted capabilities such as layout guidance, debugging support, and circuit optimization will help engineers improve productivity while meeting strict manufacturability requirements. These advances are expected to shorten design cycles, improve yields, and increase reliability across advanced semiconductor manufacturing.
Another major pillar of the collaboration is the design of next-generation AI factories. Siemens and NVIDIA will jointly develop repeatable blueprints for AI-optimized industrial infrastructure.
These designs will address the intense demands of high-density computing, including power delivery, cooling, automation, and energy efficiency, while ensuring scalability from planning through long-term operations.
This effort bridges NVIDIA’s AI platform roadmap and Omniverse-based simulation with Siemens’ strengths in electrification, grid integration, power infrastructure, and industrial automation. Together, the companies aim to accelerate deployment, improve energy efficiency, and enhance resilience for industrial-scale AI infrastructure worldwide.
Finally, Siemens and NVIDIA will act as each other’s first customers. Both companies plan to deploy these technologies internally before scaling them across industries. By optimizing their own operations using the Industrial AI Operating System, they aim to create real-world proof points that demonstrate value, scalability, and return on investment for customers.
As industries move toward autonomous, adaptive, and software-defined operations, this partnership signals a clear shift in how manufacturing will evolve. AI is no longer an add-on. With Siemens and NVIDIA, it is becoming the operating system of the industrial world.
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