In order to accelerate the industrial AI revolution and provide the high-performance foundation for their AI-accelerated industrial portfolios, Siemens and NVIDIA will also collaborate to create a repeatable blueprint for next-generation AI factories.
Siemens and NVIDIA announced a major expansion of their partnership in order to deploy AI in the real world. Together, companies aim to develop physical and industrial AI solutions that will speed up each other’s operations and bring AI-driven innovation to every industry and industrial workflow.
Siemens will dedicate hundreds of industrial AI experts as well as top hardware and software, while NVIDIA will provide AI infrastructure, simulation libraries, models, frameworks, and blueprints to help development.
Accelerating the Entire Industrial Lifecycle
Siemens and NVIDIA will work together to build AI-accelerated industrial solutions across the full lifecycle of products and production, enabling faster innovation, continuous optimization, and more resilient, sustainable manufacturing.
The companies aim to build the world’s first fully AI-driven, adaptive manufacturing sites globally, starting in 2026 with the Siemens Electronics Factory in Erlangen, Germany, as the first blueprint.
Factories can continuously analyze their digital twins, test improvements virtually, and translate validated insights into operational changes on the shop floor by utilizing a “AI Brain,” which is powered by software-defined automation and industrial operations software, NVIDIA Omniverse libraries, and NVIDIA AI infrastructure.
From design to deployment, this leads to quicker, more dependable decision-making, increasing productivity while lowering commissioning time and risk.
A number of clients, including Foxconn, HD Hyundai, KION Group, and PepsiCo, are already assessing some of the capabilities as the companies seek to expand these capabilities across important verticals.
With the partnership expansion, Siemens will complete GPU acceleration across its entire simulation portfolio and expand support for NVIDIA CUDA-X libraries and AI physics models, enabling customers to run larger, more accurate simulations faster.
Building on that foundation, the companies will advance toward generative simulation by using NVIDIA PhysicsNeMo and open models to provide autonomous digital twins that deliver real-time engineering design and autonomous optimization.
Advancing Electronic Design Automation for Accelerated Computing
By applying industrial AI operating logic to semiconductors and AI factories, Siemens and NVIDIA will accelerate the engines of the AI revolution.
Starting with semiconductor design and building on NVIDIA’s extensive use of Siemens’ tools, Siemens will integrate NVIDIA CUDA-X libraries, PhysicsNeMo and GPU acceleration across its EDA portfolio with a focus on verification, layout, and process optimization – to target 2-10x speed-ups in key workflows.
The partnership will also add AI-assisted capabilities such as layout guidance, debug support, and circuit optimization to boost engineering productivity while meeting strict manufacturability requirements.
Together, these capabilities will advance AI-native engines for design, verification, manufacturability and digital-twin approaches to shorten design cycles, improve yield, and deliver more reliable outcomes.
Designing the Next Generation of AI Factories
In order to accelerate the industrial AI revolution and provide the high-performance foundation for their AI-accelerated industrial portfolios, Siemens and NVIDIA will also collaborate to create a repeatable blueprint for next-generation AI factories.
This blueprint will optimize the whole lifespan, from planning and design to deployment and operations, while balancing the power, cooling, and automation requirements of next-generation high-density computing and making sure technologies are positioned for both speed and efficiency.
The combined effort bridges NVIDIA’s AI platform roadmap, AI infrastructure expertise, partner ecosystem and the accelerated power of NVIDIA Omniverse library-based simulation with Siemens’ strengths in power infrastructure, electrification, grid integration, automation, and digital twins.
Together, the companies aim to accelerate deployment, increase energy efficiency, and improve resilience for industrial-scale AI infrastructure worldwide.
Optimizing Operations Through Shared Innovation
By integrating technologies on their own systems before scaling them across industries, Siemens and NVIDIA aim to expedite each other’s operations and portfolio.
Siemens will evaluate its own workloads and collaborate with NVIDIA to accelerate them and incorporate AI into Siemens’ customer portfolio, while NVIDIA will assess Siemens’ products to optimize and streamline its operations and offerings.
Siemens and NVIDIA are producing concrete proof points of value and scalability for customers by accelerating each other and enhancing their own systems.
Key Comments
“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.”
