Siemens and NVIDIA expand industrial AI partnership
Siemens and NVIDIA have expanded their long-running partnership, setting their sights on what they describe as an Industrial AI operating system that spans the entire industrial value chain. Announced at CES, the move signals a deeper integration of AI into design, engineering, manufacturing and operations.
The announcement connects AI, digital twins and accelerated computing directly to factory floors, semiconductor design flows and industrial infrastructure — areas where European industry has both strong capabilities and urgent competitive pressure.
Building an industrial AI operating system
At the core of the expanded partnership is a joint effort to bring AI-native workflows into industrial software and automation. NVIDIA will contribute AI infrastructure, simulation libraries, models and frameworks, while Siemens is committing hundreds of industrial AI specialists alongside its hardware and software portfolio.
“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.”
NVIDIA sees this as a natural extension of its push beyond data centers into physical systems. “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.
From digital twins to adaptive factories
A key goal is the creation of fully AI-driven, adaptive manufacturing sites. Siemens and NVIDIA plan to start in 2026 with the Siemens Electronics Factory in Erlangen, Germany, which will serve as a blueprint for future deployments.
Using what the companies describe as an “AI Brain,” factories will continuously analyze digital twins, test changes virtually and feed validated improvements back to the shopfloor. This approach is aimed at reducing commissioning time, improving productivity and lowering operational risk. Early evaluations are already under way with customers including Foxconn, HD Hyundai, KION Group and PepsiCo.
Accelerating EDA and AI factory design
The partnership also reaches into electronic design automation. Siemens will complete GPU acceleration across its simulation portfolio and expand support for NVIDIA CUDA-X libraries and AI physics models, targeting 2x to 10x speedups in verification, layout and process optimization.
Beyond chips, the two companies are jointly defining a repeatable blueprint for next-generation AI factories, addressing power, cooling, automation and lifecycle efficiency. By applying these technologies internally first, Siemens and NVIDIA aim to prove scalability before rolling them out across industries — a pragmatic approach that could resonate strongly with industrial customers looking for tangible results rather than AI hype.
If you enjoyed this article, you will like the following ones: don't miss them by subscribing to :
