Siemens and NVIDIA aim to advance AI integration in industrial operations through their partnership, prioritising artificial intelligence (AI). Their collaboration aims to apply AI-native technology across the industrial value chain, from design and engineering through to manufacturing, operations, and supply chains.
Through their newly formed alliance, Siemens and NVIDIA plan to develop an AI-accelerated portfolio including AI-native electronic design, simulation, adaptive manufacturing, and supply chain solutions. Together, they plan to develop AI-enabled factories aimed at supporting operational optimisation.
NVIDIA will underpin this initiative by providing AI infrastructure, simulation libraries, and various technological blueprints, while Siemens will contribute with its expertise in industrial AI and hardware. "Together, we are building the Industrial AI operating system," stated a spokesperson for Siemens. Siemens and NVIDIA intend to develop digital twin and adaptive production technologies for industrial applications.
Jensen Huang, CEO of NVIDIA, remarked upon the potential of accelerated computing, highlighting AI-enhanced digital twins as the future. Siemens plans to bring AI-driven capabilities to several key verticals, starting with the construction of fully adaptive manufacturing sites by 2026.
The Siemens Electronics Factory in Erlangen, Germany, is planned to serve as a model for AI-driven production. Here, an "AI Brain" powered by software-defined automation and NVIDIA’s infrastructure, will facilitate constant analysis and operational decision-making in real time. This is intended to improve productivity, reduce risks during commissioning, and support more sustainable manufacturing practices.
Following this project, Siemens plans to enhance GPU acceleration across its simulation portfolio and extend support for NVIDIA’s libraries. Partners intend to advance generative simulations featuring autonomous digital twins to drive real-time design and process optimisation.
Siemens and NVIDIA aim to integrate AI-driven logic into electronic design automation to accelerate computing further. By embedding NVIDIA’s libraries across Siemens’ EDA (Electronic Design Automation) tools, they aim to boost the speed and accuracy of semiconductor design and verification processes.
The partnership also intends to develop AI-assisted features intended to support more efficient design and manufacturing processes. By combining their industrial AI capabilities, Siemens and NVIDIA aim to advance the application of AI across industrial processes, supporting more digital, adaptive, and efficient operations.
