Nvidia is expanding the build-out of artificial intelligence (AI) supercomputer infrastructure across Europe, increasing its grip on the AI and scientific research ecosystem. The company said it is building 35 AI supercomputers in 23 European countries. It plans to provide advanced computing resources to more than 3 million researchers.

Cryptopolitan, a blockchain media outlet, reported on Sunday that the AI supercomputers Nvidia is building will be distributed across university research labs, government research institutes and AI company hubs.

Nvidia said the project is the largest annual supercomputer expansion programme in European history. The infrastructure will be used in fields including basic science, healthcare, clean energy, climate research and quantum computing.

Nvidia's influence in European AI infrastructure is also growing. The company said its Blackwell and Hopper platforms support more than 90 percent of European AI factory deployments.

Nvidia said total AI computing performance deployed or announced in Europe since last year totals 800 AI exaflops. It is being used as a core foundation for AI factory projects being pursued by European countries.

Nvidia Chief Executive Jensen Huang (젠슨 황) stressed AI as a new tool for scientific research. "Europe is putting AI infrastructure in the hands of millions of researchers," he said. "Researchers can use Nvidia accelerated computing to simulate complex systems, train scientific AI models and build agentic AI workflows," he added.

Nvidia is also investing in quantum computing. The company said it is supporting hybrid quantum-classical computing research at European research institutions through its open quantum development platform CUDA-Q.

Its expansion in robotics is also drawing attention. Humanoid robot company Agility Robotics has become the first company to apply Nvidia's Halos for Robotics. The system is a platform that manages a robot's AI computing and sensor data, safety systems and software in a single integrated architecture. Agility robots are currently being deployed at Amazon logistics centres, GXO warehouses, Schaeffler plants and Toyota production facilities in Canada.

Deepu Talla (디푸 탈라), vice president of robotics and edge AI at Nvidia, said "physical AI is changing how factories and logistics operate". "An integrated safety framework is essential to expand autonomous systems that work with people," he said.

Nvidia is also maintaining cooperation with the China market. In a video speech at the opening ceremony of the China International Supply Chain Expo on the day, Huang described China as "one of the world's top technology and industrial hubs" and stressed the importance of the local industrial ecosystem.

The company held a large-scale exhibition at the event with more than 110 partner companies, showcasing AI chips and infrastructure, models and applications.

The industry says Nvidia is evolving into a global AI infrastructure company as it expands its influence beyond AI semiconductors into supercomputing, quantum computing and robotics platforms.

Market attention is turning to its earnings announcement scheduled for August. Wall Street currently forecasts Nvidia's next-quarter revenue at $91.7 billion and earnings per share (EPS) at $2.06.