Siemens and NVIDIA expand partnership to build AI-driven manufacturing sites launching in 2026

Siemens NVIDIA Partnership Expands to Transform Industrial Operations

Siemens and NVIDIA unveiled an ambitious expansion of their collaboration at CES 2026 in Las Vegas, setting the stage for what they call an industrial AI operating system that will reshape product design, manufacturing, operations, and supply chains 1

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. The Siemens NVIDIA partnership aims to integrate AI into industrial workflows at an unprecedented scale, moving beyond incremental improvements to fundamentally alter how physical systems function. Roland Busch, President and CEO of Siemens AG, characterized the initiative as building the foundation to "scale AI and create real-world impact" across industries 3

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First AI-Driven Manufacturing Site Targets 2026 Launch

The first fully AI-driven, adaptive manufacturing facilities based on this collaboration will debut in 2026 at Siemens Electronics Factory in Erlangen, Germany 1

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. This site will serve as a blueprint for AI-driven adaptive manufacturing facilities that can be replicated across sectors. Under the expanded agreement, NVIDIA will provide AI infrastructure, simulation libraries, models, and frameworks, while Siemens will deploy hundreds of industrial AI experts alongside its extensive hardware and software portfolio 1

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. The companies are implementing these technologies in their own systems first to create proof points of value and scalability before rolling them out to customers.

Digital Twin Technology Powers Continuous Factory Optimization

At the heart of this industrial AI approach lies the concept of factories that continuously analyze their own digital twins. Using an AI Brain powered by software-defined automation, industrial operations software, and NVIDIA Omniverse libraries, facilities can test process changes virtually before applying them in the real world 1

1

. Digital twin technology enables manufacturers to run faster, larger, and more frequent simulations, reducing design cycle times while improving manufacturing outcomes 2

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. Siemens will complete GPU acceleration across its simulation portfolio and expand support for NVIDIA libraries and models, with both companies advancing generative simulation work using NVIDIA PhysicsNeMo 3

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Major Manufacturers Already Evaluating AI-Powered Factories

Several industry leaders are already assessing these capabilities for their operations. Foxconn, HD Hyundai, KION Group, and PepsiCo are among the companies evaluating the technology 3

3

. PepsiCo specifically announced on Tuesday that it was partnering with both firms to modernize its physical production processes. The companies aim to create AI-native workflows that accelerate innovation while reducing cost, risk, and commissioning time 1

1

. This repeatable blueprint for AI-powered factories could enable rapid deployment across manufacturing sectors, from electronics to food and beverage production.

Energy Efficiency and Operational Resilience Take Center Stage

The partnership addresses critical infrastructure challenges that come with large-scale AI deployment in industrial settings. Standardized designs are intended to improve energy efficiency and operational resilience for AI infrastructure, tackling power, cooling, automation, and grid integration challenges 2

2

. As manufacturers face pressure to reduce environmental impact while maintaining competitiveness, the ability to optimize manufacturing outcomes through AI software and GPU acceleration becomes increasingly valuable. The collaboration positions both companies to shape how industries balance productivity demands with sustainability goals, particularly as AI adoption accelerates across global supply networks.🟡 untrained=🟡Siemens NVIDIA Partnership Expands to Transform Industrial Operations

Siemens and NVIDIA unveiled an ambitious expansion of their collaboration at CES 2026 in Las Vegas, setting the stage for what they call an industrial AI operating system that will reshape product design, manufacturing, operations, and supply chains 1

1

2

2

. The Siemens NVIDIA partnership aims to integrate AI into industrial workflows at an unprecedented scale, moving beyond incremental improvements to fundamentally alter how physical systems function. Roland Busch, President and CEO of Siemens AG, characterized the initiative as building the foundation to "scale AI and create real-world impact" across industries 3

3

.

First AI-Driven Manufacturing Site Targets 2026 Launch

The first fully AI-driven, adaptive manufacturing facilities based on this collaboration will debut in 2026 at Siemens Electronics Factory in Erlangen, Germany 1

1

3

3

. This site will serve as a blueprint for AI-driven adaptive manufacturing facilities that can be replicated across sectors. Under the expanded agreement, NVIDIA will provide AI infrastructure, simulation libraries, models, and frameworks, while Siemens will deploy hundreds of industrial AI experts alongside its extensive hardware and software portfolio 1

1

. The companies are implementing these technologies in their own systems first to create proof points of value and scalability before rolling them out to customers.

Digital Twin Technology Powers Continuous Factory Optimization

At the heart of this industrial AI approach lies the concept of factories that continuously analyze their own digital twins. Using an AI Brain powered by software-defined automation, industrial operations software, and NVIDIA Omniverse libraries, facilities can test process changes virtually before applying them in the real world 1

1

. Digital twin technology enables manufacturers to run faster, larger, and more frequent simulations, reducing design cycle times while improving manufacturing outcomes 2

2

. Siemens will complete GPU acceleration across its simulation portfolio and expand support for NVIDIA libraries and models, with both companies advancing generative simulation work using NVIDIA PhysicsNeMo 3

3

.

Major Manufacturers Already Evaluating AI-Powered Factories

Several industry leaders are already assessing these capabilities for their operations. Foxconn, HD Hyundai, KION Group, and PepsiCo are among the companies evaluating the technology 3

3

. PepsiCo specifically announced on Tuesday that it was partnering with both firms to modernize its physical production processes. The companies aim to create AI-native workflows that accelerate innovation while reducing cost, risk, and commissioning time 1

1

. This repeatable blueprint for AI-powered factories could enable rapid deployment across manufacturing sectors, from electronics to food and beverage production.

Energy Efficiency and Operational Resilience Take Center Stage

The partnership addresses critical infrastructure challenges that come with large-scale AI deployment in industrial settings. Standardized designs are intended to improve energy efficiency and operational resilience for AI infrastructure, tackling power, cooling, automation, and grid integration challenges 2

2

. As manufacturers face pressure to reduce environmental impact while maintaining competitiveness, the ability to optimize manufacturing outcomes through AI software and GPU acceleration becomes increasingly valuable. The collaboration positions both companies to shape how industries balance productivity demands with sustainability goals, particularly as AI adoption accelerates across global supply networks.