LAS VEGAS, NV (CES 2026), Jan 8, 2026 – Siemens and NVIDIA announced an expanded partnership focused on deploying artificial intelligence (AI) in industrial environments. The companies will focus on industrial and physical AI, which applies AI models to operate real-world machines and systems. The partnership aims to support AI-driven industrial workflows and operational use cases. NVIDIA will supply AI computing infrastructure, simulation software, models, and development frameworks. Siemens will contribute industrial software, hardware, and workforce with applied AI expertise.
“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 plan to apply AI across the entire product and production lifecycle to accelerate industrial operations. The partnership targets AI-driven manufacturing systems designed for continuous optimization and improved resilience. The companies will begin with an AI-driven factory blueprint at the Siemens Electronics Factory in Erlangen, Germany, with deployment starting in 2026.
Factories can use an “AI Brain” to analyze digital twins, test changes virtually, and turn validated results into shop-floor actions. The approach combines software-defined automation, industrial operations software, NVIDIA Omniverse libraries, and NVIDIA AI infrastructure.
Faster decision-making across design and deployment can increase productivity while reducing commissioning time and risk. The companies intend to expand these capabilities across key verticals and early evaluations are underway with customers such as Foxconn, HD Hyundai, KION Group, and PepsiCo.
Siemens plans to extend GPU acceleration across its entire simulation portfolio and expand support for NVIDIA CUDA-X libraries and AI physics models. This will allow customers to run simulations with improved accuracy and speed. The companies will then advance toward generative simulation using NVIDIA PhysicsNeMo and open models. This approach is intended to deliver autonomous digital twins that support real-time design decisions and autonomous optimization.
Advancing Electronic Design Automation for Accelerated Computing
Siemens plans to apply industrial AI logic to semiconductors and AI factory workflows in collaboration with NVIDIA. The effort centers on integrating NVIDIA CUDA-X libraries, PhysicsNeMo, and GPU acceleration across Siemens’ EDA portfolio. The work will prioritize verification, layout, and process optimization, with a stated goal of achieving 2-10x speed gains in critical semiconductor workflows.
The partnership will add AI-assisted capabilities such as layout guidance, debug support, and circuit optimization to improve engineering productivity while meeting manufacturability requirements. These capabilities support AI-native engines for design, verification, manufacturability, and digital-twin workflows, helping shorten design cycles, improve yield, and increase reliability.
Designing the Next Generation of AI Factories
Siemens and NVIDIA plan to initiate a standardized blueprint for advanced AI factories. The blueprint is intended to support industrial AI deployments and serve as a foundation for AI-enabled industrial systems.
This blueprint will balance advanced high-density computing requirements across power, cooling, and automation. It focuses on improving speed and efficiency across the full lifecycle, spanning planning, design, deployment, and operations.
Siemens and NVIDIA are aligning their core capabilities to support AI infrastructure. The effort links NVIDIA’s AI platforms, infrastructure expertise, partner ecosystem, and Omniverse-based simulation with Siemens competence in power infrastructure, electrification, grid integration, automation, and digital-twins. The goal is to accelerate deployment while improving efficiency and resilience.
Optimizing Operations Through Shared Innovation
Siemens and NVIDIA will validate new technologies before scaling them across customer environments. NVIDIA will evaluate Siemens solutions to improve internal efficiency, while Siemens will work with NVIDIA to accelerate internal workloads and integrate AI into its product portfolio. By proving performance and scalability in production settings, the companies aim to demonstrate practical, repeatable value for customers.
Source: Siemens
About Siemens AG
Siemens AG, headquartered in Munich and Berlin, Germany, is a global technology company focused on industry, infrastructure, mobility and healthcare. Founded in 1847, the company develops industrial automation systems, digitalization technologies, energy-efficient equipment and medical diagnostic systems. Siemens applies industrial and generative AI to improve efficiency and operational performance across manufacturing, infrastructure and transportation. Its work combines physical systems with digital tools to support industrial processes, smart infrastructure and connected mobility. Siemens holds a majority stake in Siemens Healthineers, a medical technology company specializing in diagnostics and healthcare systems. The company employs more than 300,000 people worldwide and has operations in Germany.
About NVIDIA
NVIDIA, founded in 1993 and headquartered in Santa Clara, CA, designs and manufactures graphics processing units, systems on chips, networking hardware, and AI intelligence software such as CUDA. Its products serve industries including gaming, data centers, autonomous vehicles, professional visualization, robotics, health care, and energy. The company introduced the GPU in 1999 and later expanded into accelerated computing and AI infrastructure. In gaming, its GPUs support high-performance rendering, while in AI and high-performance computing, its systems provide the infrastructure for training and deploying large-scale models. NVIDIA also develops tools for robotics and autonomous driving.