Siemens and NVIDIA expand industrial AI partnership

The companies describe the expansion as an effort to bring industrial and physical AI solutions into industries and industrial workflows.[2] NVIDIA says it will contribute AI infrastructure, simulation libraries, models, frameworks and blueprints, while Siemens says it will commit hundreds of industrial AI experts and leading hardware and software.[2] The first new offerings combine NVIDIA AI, simulation and accelerated-computing technologies with Siemens industrial software, automation and manufacturing expertise.[1] The companies say their joint team developed those offerings in less than ten months.[1]

Siemens unveiled the new applications at its electronics factory in Erlangen, Germany.[1] The companies say they aim to build the world’s first fully AI-driven adaptive manufacturing sites, starting with the Erlangen factory in 2026.[2] Siemens says the facility already deploys more than 100 AI algorithms across production, logistics, quality inspection and maintenance.[1] The partnership is intended to span the industrial lifecycle, from product design and engineering through manufacturing, operations and supply chains.[2]

Siemens says its applications use AI and digital twins to accelerate production ramp-up and enable more adaptive production planning.[1] For virtual production preparation of new printed circuit board assemblies, Siemens says engineering effort can fall by up to 85%; it also says AI and digital twins can cut time-to-market by up to 40%.[1] Siemens further says AI agents can support production planning and deliver 20% cost savings.[1] These figures are company-reported potential benefits; the evidence does not establish that every factory or project will achieve them.

The partners describe the collaboration as building an “Industrial AI operating system” by combining industrial software with NVIDIA’s full-stack AI platform.[2] Siemens executive Cedrik Neike said AI could help preserve manufacturing jobs in high-wage countries by raising factory automation to as much as 80%.[3] Neike also said manufacturers need annual productivity gains of 7% to 9% to remain competitive.[3] A separate report described an opportunity for Germany and Europe to bring AI from data centers into factories and deploy it at industrial scale.[4]