At CES, industrial technology giant Siemens and AI computing leader NVIDIA unveiled a major expansion of their strategic partnership, setting a course to develop an 'Industrial AI Operating System.' This collaboration aims to infuse artificial intelligence into every facet of the industrial world, from intricate design processes and sophisticated engineering to advanced manufacturing, production, and resilient supply chains.

The joint effort is designed to accelerate innovation and optimize operations across various industries. NVIDIA will contribute its robust AI infrastructure, simulation libraries, models, frameworks, and blueprints, while Siemens will bring hundreds of industrial AI experts, alongside its leading hardware and software.

Redefining the Physical World with AI

Roland Busch, President and CEO of Siemens AG, emphasized the transformative potential of the partnership. He stated, "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." This synergy will empower customers to develop products faster through comprehensive digital twins, adapt production in real-time, and accelerate technologies from chip design to AI factories.

Jensen Huang, founder and CEO of NVIDIA, highlighted the shift brought by generative AI and accelerated computing. He noted, "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." He added that the partnership bridges ideas and reality, enabling industries to simulate complex systems in software before seamlessly automating and operating them physically.

Accelerating the Industrial Lifecycle and AI Factories

The companies plan to develop AI-accelerated industrial solutions spanning the full product and production lifecycle. A key objective is establishing the world's first fully AI-driven, adaptive manufacturing sites globally, with the Siemens Electronics Factory in Erlangen, Germany, serving as the inaugural blueprint in 2026.

These factories will leverage an "AI Brain," powered by software-defined automation and industrial operations software, coupled with NVIDIA Omniverse™ libraries and AI infrastructure. This system will continuously analyze digital twins, allowing for virtual testing of improvements and translating validated insights into real-world operational changes. This approach promises faster, more reliable decision-making, increased productivity, and reduced commissioning time and risk. Leading companies such as Foxconn, HD Hyundai, KION Group, and PepsiCo are already evaluating these capabilities.

Advancing Electronic Design and Simulation

As part of the expanded partnership, Siemens will implement GPU acceleration across its entire simulation portfolio, enhancing support for NVIDIA CUDA-X™ libraries and AI physics models. This integration will enable customers to conduct larger, more accurate simulations at significantly higher speeds.

Furthermore, the collaboration will advance towards generative simulation using NVIDIA PhysicsNeMo™ and open models. This development aims to create autonomous digital twins capable of real-time engineering design and autonomous optimization, further streamlining development cycles. For electronic design automation (EDA), Siemens will integrate NVIDIA CUDA-X libraries, PhysicsNeMo, and GPU acceleration into its EDA portfolio, targeting 2-10x speedups in critical verification, layout, and process optimization workflows.

Designing the Next Generation of AI Factories

Siemens and NVIDIA will jointly develop a repeatable blueprint for next-generation AI factories. This blueprint will serve as a high-performance foundation for their AI-accelerated industrial portfolios, addressing the high-density computing demands for power, cooling, and automation while ensuring speed and energy efficiency across the full lifecycle.

This combined effort integrates NVIDIA's AI platform roadmap, infrastructure expertise, and the accelerated power of NVIDIA Omniverse library-based simulation with Siemens' strengths in power infrastructure, electrification, grid integration, automation, and digital twins. The goal is to accelerate deployment, boost energy efficiency, and improve the resilience of industrial-scale AI infrastructure worldwide.

Optimizing Operations Through Shared Innovation

Both companies are committed to accelerating their own operations and portfolios by first implementing new technologies within their respective systems before scaling them across industries. NVIDIA will evaluate Siemens' offerings to streamline its internal operations, while Siemens will collaborate with NVIDIA to accelerate its workloads and integrate AI into its customer offerings. This internal application will create tangible proof points of value and scalability for their customers.