Siemens, Nvidia deploy industrial AI to reduce engineering effort

Nvidia is launching a range of AI systems at a Siemens factory in Germany, as the country looks to bolster its standing in the global industrial AI race.

The development came this week as part of Nvidia’s AI roadmap in Germany, building on a plan the AI and manufacturing giants revealed in January to develop what the companies described as the world's first fully AI-powered manufacturing plants.

Under the deal, Nvidia is rolling out systems including digital twins, AI-generated training data and AI agents at Siemens' Electronics Factory in Erlangen, Germany, to accelerate production and cut costs.

Among the technologies is an application using AI to generate photorealistic representations of printed circuit board (PCB) assemblies from digital twins.

These virtual copies can be used to train inspection systems before physical prototypes are available. The companies claim the approach can cut engineering effort by up to 85% and time-to-market by up to 40%.

A second application uses AI agents to model and predict production scenarios. A digital twin of the factory is then used to validate proposed plans before implementation.

Nvidia is providing its Cosmos world models to generate synthetic training data for quality inspection, while its Factory Operations Blueprint supports AI agents in production planning. Nvidia Omniverse libraries are used to simulate proposed plans against real factory data.

According to the partners, more than 100 AI algorithms are already in use at the Erlangen site across production, logistics, quality inspection and maintenance. In total, Siemens said it plans to invest about $559 million in the site's transformation through 2030.

Further applications are planned in the coming months.

Why Erlangen matters

The significance of the joint project lies in Siemens demonstrating the technology in its own operations, rather than simply promoting its potential, said Samantha Mou, an analyst at Interact Analysis.