At Nvidia's GTC conference in Berlin, CEO Jensen Huang presented Europe as the future center of the "AI economy": with humanoid robots, AI agents and modular supercomputers. His main message: it is important for countries not only to use someone else's AI, but also to create robots, factories and digital products based on it themselves.
What was shown in Berlin
Nvidia presented Agile ONE SN — a reference model of a humanoid robot on the Isaac GR00T platform. It has 31 degrees of freedom, and it is intended for researchers: the goal is to cut the preparation of a robot for experiments from several weeks to several days.
The company also expanded the open robotics platform Isaac: it added datasets, simulation tools and updates for training robots. Huang called what is happening the approach of "the ChatGPT moment for robotics" — that is, a period when general-purpose robots may begin to move beyond laboratories en masse.
Separate attention was given to computing infrastructure. Nvidia showed a modular data center DSX Pod: ready-made racks with Vera Rubin chips are delivered in a container and can be launched in roughly 14 days, rather than in the months or years it takes to build an ordinary data processing center.
Why this matters for Europe
Huang believes that Europe can become a participant in the next industrial revolution — not necessarily by creating new language models or chips, but by producing robots, smart machine tools, instruments and entire factories controlled by AI.
"Every company in Europe will become an AI company," he declared at the conference. By his logic, the advantage will go to those who do not merely adopt ready-made services, but build their own AI systems for industry, logistics, medicine and manufacturing.
What this means in practice
If Nvidia's plans come to fruition, it will be easier for European companies to launch local AI capacity and develop physical AI — robots and autonomous machines that operate in the real world. For businesses, this could mean faster adoption of automation, and for researchers, more accessible tools for building and training robots.
But for now this is a strategy and a forecast, not an accomplished fact: the large-scale effect depends on the availability of electricity, investment, regulation and how quickly European companies begin to use such technologies.
