Aiming to turn digital twins into self-optimising systems, pushing AI from simulations into real factories, chips and industrial infrastructure globally, Siemens and NVIDIA deepen their partnership.
Siemens and NVIDIA have announced to expand their partnership, aiming to embed artificial intelligence (AI) deeply into industrial operations worldwide. The collaboration focuses on developing industrial and physical AI solutions that can be deployed across sectors, including manufacturing and logistics, as well as electronics and energy.
According to the agreement, NVIDIA will provide advanced AI infrastructure, simulation libraries, models and software frameworks. Siemens, in turn, will contribute hundreds of industrial AI specialists alongside its established portfolio of hardware, automation systems and industrial software. The companies say the partnership will also accelerate their own internal operations.
The first fully AI-driven adaptive manufacturing site is planned for 2026. Siemens’ electronics factory in Erlangen, Germany, will serve as the initial blueprint. Similar capabilities are expected to scale across industries, with companies such as Foxconn, HD Hyundai, KION Group and PepsiCo already evaluating elements of the technology.
The alliance seeks to transform how products are designed, factories are run, and systems are optimised. According to Siemens, the goal is to create an “industrial AI operating system” that connects digital design with real-world execution, enabling faster development and more responsive production.
Another key focus is the use of AI-powered digital twins. These virtual replicas of physical assets will evolve from static simulations into continuously learning systems. Factories will be able to test changes in a virtual environment and apply validated improvements directly on the shopfloor, reducing risk and commissioning time.
As part of the expansion, Siemens will complete GPU acceleration across its entire simulation portfolio. Support for NVIDIA’s CUDA-X libraries and AI-based physics models will enable customers to run larger, more accurate simulations faster. The partners also plan to advance generative simulation, enabling autonomous digital twins that support real-time engineering decisions.
The collaboration extends into semiconductor and electronic design automation. Siemens will integrate NVIDIA technologies across its EDA tools to accelerate verification, layout and process optimisation, targeting significant speed improvements. AI-assisted features are expected to boost productivity while maintaining strict manufacturing standards.
Beyond factories and chips, Siemens and NVIDIA will jointly design blueprints for next-generation AI data centres. These will address power, cooling and automation challenges while improving energy efficiency and resilience.
