Siemens and NVIDIA unveiled an ambitious expansion of their partnership at CES 2026, aiming to bring artificial intelligence into the physical world. The collaboration seeks to develop Industrial AI solutions that span product design, production, and operations—essentially turning digital simulations into actionable intelligence on the factory floor.
By combining NVIDIA’s AI computing and simulation platforms with Siemens’ industrial hardware, software, and AI expertise, the companies are building what they describe as the Industrial AI Operating System—a platform to accelerate innovation, optimize manufacturing, and create fully adaptive, AI-driven factories.
Industrial AI Across the Product Lifecycle
The partnership’s core goal is to accelerate the entire industrial lifecycle, from design to deployment. Factories will leverage AI “brains” that analyze digital twins, simulate improvements, and automatically implement validated changes in real-time. The first blueprint will be piloted at the Siemens Electronics Factory in Erlangen, Germany, with broader adoption expected across multiple sectors.
By embedding NVIDIA Omniverse simulation libraries and AI infrastructure into Siemens’ operations software, factories can run larger, more accurate simulations faster, improving productivity, reducing commissioning time, and lowering risk. Early evaluations are already underway with companies including Foxconn, HD Hyundai, KION Group, and PepsiCo.
Advancing Simulation and Generative Design
Siemens will complete GPU acceleration across its simulation portfolio, supporting NVIDIA CUDA-X libraries and AI physics models. This integration will enable generative simulations, autonomous digital twins, and real-time engineering optimization. For engineers, this means faster iterations, better predictive insights, and more reliable operational outcomes.
“Generative AI and accelerated computing have ignited a new industrial revolution,” said Jensen Huang, NVIDIA CEO. “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.”
AI-Powered Semiconductor Design
Beyond factories, the partnership is targeting Electronic Design Automation (EDA) for accelerated computing. Siemens will integrate NVIDIA’s CUDA-X libraries and PhysicsNeMo models across its EDA tools to enhance verification, layout, and process optimization. The goal is 2–10x speed-ups in key workflows, plus AI-assisted layout guidance, debugging, and circuit optimization to improve engineering productivity while meeting manufacturability requirements.
This integration positions Siemens and NVIDIA to shorten design cycles, improve yield, and deliver more reliable semiconductor outcomes, addressing one of the most computation-intensive elements of the AI revolution.
Blueprinting the Next-Generation AI Factory
The partnership aims to create a repeatable blueprint for AI factories, balancing high-density computing demands with operational efficiency. By combining NVIDIA’s AI infrastructure and simulation capabilities with Siemens’ electrification, automation, and digital twin expertise, these factories will optimize the full lifecycle—from planning and design to deployment and operation—while improving energy efficiency and resilience at scale.
Mutual Acceleration and Proof of Value
Siemens and NVIDIA are also testing technologies internally before scaling them across industries. Each company will use the other’s systems to accelerate operations, validate solutions, and create tangible proof points for industrial AI, ensuring that innovations are both practical and scalable for global customers.
“This collaboration redefines how the physical world is designed, built, and run,” said Roland Busch, Siemens CEO. “By combining NVIDIA’s leadership in accelerated computing with Siemens’ industrial AI expertise, we’re empowering customers to develop products faster, optimize production, and accelerate technologies from chips to AI factories.”
Implications for Industry
The partnership signals a broader shift in industrial technology: AI is moving from back-office optimization to real-time, operational decision-making across the full value chain. By embedding generative AI into simulations, manufacturing, and semiconductor design, Siemens and NVIDIA are creating a new class of industrial systems capable of continuous self-optimization and adaptive manufacturing.
For industrial operators, this could mean faster product cycles, reduced waste, improved energy efficiency, and more resilient factories—essential capabilities as AI-driven manufacturing scales globally.
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