Germany and NVIDIA Set Out Joint Industrial AI Initiative

German Chancellor Friedrich Merz and NVIDIA founder and CEO Jensen Huang met in Berlin as the federal government signed a Joint Declaration of Intent with NVIDIA. The agreement sets out work on a joint initiative for physical AI and expands collaboration with Germany's Industry 4.0 Platform during the Invest in Germany Summit without disclosing terms. NVIDIA Blog report.

Signed Declaration

At the Invest in Germany Summit, Chancellor Merz, the Federal Ministry for Economic Affairs and Energy and the Federal Ministry for Research, Technology and Space signed a Joint Declaration of Intent with NVIDIA. The stated aim is to combine German engineering and manufacturing expertise with AI research and technology.

The declaration sets out a joint initiative to advance cutting-edge AI models for physical AI and expands NVIDIA's collaboration with Germany's Industry 4.0 Platform, whose members come from politics, industry, research and trade associations. The source presents this as an intent to work together, without detailed budgets, binding deployment targets or a timetable.

Related coverage: related Automation reporting.

Mittelstand Adoption

Merz said his government is committed to making Germany one of the most advanced places to work with AI and to integrating AI into industry. He pointed to manufacturers, machinery, automotive companies and suppliers, and urged Mittelstand leaders to open their doors to AI and use data already held in their companies.

Huang said German manufacturing expertise and math and science strength set the economy apart and that AI can augment rather than replace that capability. Those are vendor and political claims about potential; the source does not present measured adoption results or independent evidence of economy-wide effects.

Related coverage: related Automation reporting.

Planned Startup Bets

Huang announced planned investments in four German startups: Agile Robots, Avelios Medical, Mirelo and Reflex Aerospace. The source places them within NVIDIA's broader European commitment to support companies, universities and research institutions; it does not state investment amounts, completion dates or performance expectations for these startups.

Agile Robots builds AI-powered robots for manufacturing, logistics and healthcare. Avelios Medical develops an AI-native hospital information system for clinical and administrative workflows. Mirelo develops AI models for sound effects, speech and music. Reflex Aerospace designs and builds satellites. The source describes company scope, not clinical or commercial outcomes.

Related coverage: related Automation reporting.

Siemens Factory Claims

Siemens announced it is partnering with NVIDIA to advance AI-driven autonomous factories and showcased new AI solutions at its Erlangen factory, which it describes as a global blueprint for autonomous manufacturing. The source presents this as a Siemens announcement and vendor claim, not an independent benchmark.

Siemens claims that fully virtual production ramp-up reduces engineering effort and that agent-based production planning enables more adaptive manufacturing and cost savings. The source does not provide audit results or independent validation, so these should be read as vendor assertions about internal workflows rather than general performance guarantees.

Related coverage: related Automation reporting.

What This Means for Practitioners

NVIDIA researchers used JUPITER, described as Europe's largest supercomputer at the Jülich Supercomputing Centre, to run a simulation of a fault-tolerant quantum computer. NVIDIA calls it the largest and most detailed simulation of its kind to date. This is a research simulation, not evidence of a commercial quantum system or a deployed investment.

Editorial assessment: if the declaration is to become operational, buyers and researchers should ask whether it produces funded pilots with published metrics, whether Mittelstand data access has clear consent and security terms, and whether Siemens and quantum claims can be independently reproduced. The source does not detail safety limitations, deployment safeguards or independent validation.