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Siemens and NVIDIA have significantly expanded their strategic partnership to accelerate the adoption of artificial intelligence across industrial environments, with a focus on translating AI innovation from digital models into real-world production and operations.
The two companies said the expanded collaboration will center on developing industrial and physical AI solutions that embed intelligence across the full lifecycle of products, factories and infrastructure. NVIDIA will contribute AI infrastructure, simulation libraries, models and frameworks, while Siemens will deploy industrial AI expertise alongside its portfolio of automation hardware, software and digital twin technologies.
The goal, executives said, is to move beyond traditional simulations and make AI an active operational layer in industrial systems. Siemens CEO Roland Busch described the effort as building an “industrial AI operating system” that can redefine how physical assets are designed, built and run. By combining Siemens’ industrial software and data with NVIDIA’s accelerated computing and AI platforms, customers are expected to gain the ability to design products faster, adapt production in real time and scale AI across complex industrial workflows.
NVIDIA CEO Jensen Huang said the partnership reflects a broader shift in which generative AI and accelerated computing are transforming digital twins from static models into intelligent systems that can guide real-world decision-making. He said the combined technologies will allow industries to simulate complex systems in software and then automate and operate them seamlessly in the physical world.
As part of the expanded partnership, Siemens and NVIDIA plan to develop fully AI-driven, adaptive manufacturing sites, beginning in 2026 with Siemens’ electronics factory in Erlangen, Germany, which will serve as a reference blueprint. These facilities are expected to use an “AI brain” that continuously analyzes digital twins, tests improvements virtually and applies validated changes directly to production environments.
The approach is designed to improve decision-making speed and accuracy while reducing commissioning time and operational risk. Siemens and NVIDIA said the technology will be scaled across multiple industries, with early evaluations already underway by companies including Foxconn, HD Hyundai, KION Group and PepsiCo.
To support these capabilities, Siemens will complete GPU acceleration across its entire simulation portfolio and expand support for NVIDIA CUDA-X libraries and AI physics models. The companies said this will allow customers to run larger and more accurate simulations at higher speed, paving the way for generative simulation and autonomous digital twins that can optimize systems in real time.
Accelerating Semiconductor and AI Factory Design
The partnership also extends into electronic design automation (EDA) and semiconductor manufacturing. Siemens plans to integrate NVIDIA’s CUDA-X libraries, PhysicsNeMo and GPU acceleration across its EDA tools, particularly in verification, layout and process optimization. The companies are targeting significant speedups in key workflows, with the aim of shortening design cycles, improving yield and increasing reliability in advanced chip production.
AI-assisted capabilities such as layout guidance, debugging and circuit optimization are expected to boost engineering productivity while maintaining strict manufacturability requirements. Siemens and NVIDIA said these efforts will help advance AI-native design and digital twin methodologies across semiconductor and AI infrastructure development.
Blueprint for Next-Generation AI Factories
In parallel, the companies will jointly develop a standardized blueprint for next-generation AI factories, designed to handle the power density, cooling and automation demands of large-scale AI infrastructure. The blueprint will integrate NVIDIA’s AI platform and simulation technologies with Siemens’ strengths in electrification, grid integration, automation and power infrastructure.
Both companies said the collaboration will also involve deploying each other’s technologies internally, using their own operations as testbeds before scaling solutions to customers. By validating AI-driven automation and optimization within their own environments, Siemens and NVIDIA aim to demonstrate tangible value and scalability for industrial customers.
The expanded partnership underscores a growing push to embed AI directly into industrial systems, as manufacturers and infrastructure operators seek to improve efficiency, resilience and sustainability in an increasingly complex and compute-intensive world.
The two companies said the expanded collaboration will center on developing industrial and physical AI solutions that embed intelligence across the full lifecycle of products, factories and infrastructure. NVIDIA will contribute AI infrastructure, simulation libraries, models and frameworks, while Siemens will deploy industrial AI expertise alongside its portfolio of automation hardware, software and digital twin technologies.
The goal, executives said, is to move beyond traditional simulations and make AI an active operational layer in industrial systems. Siemens CEO Roland Busch described the effort as building an “industrial AI operating system” that can redefine how physical assets are designed, built and run. By combining Siemens’ industrial software and data with NVIDIA’s accelerated computing and AI platforms, customers are expected to gain the ability to design products faster, adapt production in real time and scale AI across complex industrial workflows.
NVIDIA CEO Jensen Huang said the partnership reflects a broader shift in which generative AI and accelerated computing are transforming digital twins from static models into intelligent systems that can guide real-world decision-making. He said the combined technologies will allow industries to simulate complex systems in software and then automate and operate them seamlessly in the physical world.
As part of the expanded partnership, Siemens and NVIDIA plan to develop fully AI-driven, adaptive manufacturing sites, beginning in 2026 with Siemens’ electronics factory in Erlangen, Germany, which will serve as a reference blueprint. These facilities are expected to use an “AI brain” that continuously analyzes digital twins, tests improvements virtually and applies validated changes directly to production environments.
The approach is designed to improve decision-making speed and accuracy while reducing commissioning time and operational risk. Siemens and NVIDIA said the technology will be scaled across multiple industries, with early evaluations already underway by companies including Foxconn, HD Hyundai, KION Group and PepsiCo.
To support these capabilities, Siemens will complete GPU acceleration across its entire simulation portfolio and expand support for NVIDIA CUDA-X libraries and AI physics models. The companies said this will allow customers to run larger and more accurate simulations at higher speed, paving the way for generative simulation and autonomous digital twins that can optimize systems in real time.
Accelerating Semiconductor and AI Factory Design
The partnership also extends into electronic design automation (EDA) and semiconductor manufacturing. Siemens plans to integrate NVIDIA’s CUDA-X libraries, PhysicsNeMo and GPU acceleration across its EDA tools, particularly in verification, layout and process optimization. The companies are targeting significant speedups in key workflows, with the aim of shortening design cycles, improving yield and increasing reliability in advanced chip production.
AI-assisted capabilities such as layout guidance, debugging and circuit optimization are expected to boost engineering productivity while maintaining strict manufacturability requirements. Siemens and NVIDIA said these efforts will help advance AI-native design and digital twin methodologies across semiconductor and AI infrastructure development.
Blueprint for Next-Generation AI Factories
In parallel, the companies will jointly develop a standardized blueprint for next-generation AI factories, designed to handle the power density, cooling and automation demands of large-scale AI infrastructure. The blueprint will integrate NVIDIA’s AI platform and simulation technologies with Siemens’ strengths in electrification, grid integration, automation and power infrastructure.
Both companies said the collaboration will also involve deploying each other’s technologies internally, using their own operations as testbeds before scaling solutions to customers. By validating AI-driven automation and optimization within their own environments, Siemens and NVIDIA aim to demonstrate tangible value and scalability for industrial customers.
The expanded partnership underscores a growing push to embed AI directly into industrial systems, as manufacturers and infrastructure operators seek to improve efficiency, resilience and sustainability in an increasingly complex and compute-intensive world.
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