Siemens (SIEGY) (SMAWF) and NVIDIA (NVDA) said at CES 2026 that they are expanding their partnership to develop what the companies describe as an industrial AI operating system spanning product design, manufacturing, operations and supply chains.
Under the expanded agreement, NVIDIA (NVDA) will supply AI infrastructure, simulation tools, and software frameworks, while Siemens (SIEGY) (SMAWF) will contribute industrial software, hardware and engineering expertise. The companies said the goal is to embed AI more deeply into industrial workflows and accelerate the use of digital twins, simulation, and automation across factories and supply networks.
The companies said they plan to develop AI-accelerated tools for electronic design, simulation, manufacturing and supply chain operations. A central focus is the creation of AI-driven manufacturing sites that continuously analyze digital twins, test operational changes in software and apply validated updates on the factory floor.
Siemens (SIEGY) (SMAWF) said its electronics factory in Erlangen, Germany, will serve as the first reference site for these capabilities starting in 2026. The companies said similar approaches could be extended to other industries and customers, with Foxconn, HD Hyundai, KION Group and PepsiCo (PEP) evaluating aspects of the technology.
As part of the partnership, Siemens said it will complete GPU acceleration across its simulation software portfolio and expand support for NVIDIA’s (NVDA) CUDA-X libraries and AI-based physics models. The companies said this will allow larger and more detailed simulations to run faster and support more frequent updates to digital twins during production.
The collaboration also includes work on electronic design automation, with Siemens (SIEGY) (SMAWF) integrating NVIDIA’s (NVDA) accelerated computing and AI tools into semiconductor design workflows such as verification, layout, and process optimization. The companies said the aim is to reduce design cycle times and improve manufacturing outcomes for advanced chips and AI-focused facilities.
In addition, Siemens (SIEGY) (SMAWF) and NVIDIA (NVDA) said they will jointly develop standardized designs for future AI factories, addressing challenges such as power delivery, cooling, automation, and grid integration. The companies said these designs are intended to support large-scale AI infrastructure while improving energy efficiency and operational resilience.
Both companies said they plan to deploy elements of the technology internally to optimize their own operations before rolling them out more broadly to customers.