Nvidia said on Monday that 35 of its AI supercomputers are now being built across Europe, a record number that will give more than 3 million researchers access to the latest computing tools for science, industry and AI work across the region.
This was dubbed Europe’s largest one-year increase in supercomputers by the corporation.
The machines are located in university research labs, government computer facilities, and AI firms in 23 different nations.
They will support research in fields like basic science, healthcare, clean energy, quantum computing, and climate science. They operate on Nvidia’s entire suite of AI tools.
Nvidia’s Blackwell and Hopper platforms power the majority of AI factory activity in Europe.
Over 90% of Europe’s AI factory buildout is covered by the 800 AI exaflops of computing capacity that the company claims to have deployed or disclosed since last year.
“AI is the new instrument of science, and Europe is building the infrastructure to put it in the hands of millions of researchers,” said Jensen Huang, founder and chief executive of Nvidia.
“With Nvidia accelerated computing, researchers can simulate more complex systems, train scientific AI models and build agentic AI workflows that turn Europe’s data and expertise into breakthroughs for the world.”
Nvidia is also helping European centers and institutions run hybrid quantum-classical programs using CUDA-Q, an open platform that works with different types of qubits.
The company says this adds to Europe’s lead in mixing quantum and GPU computing.
Building safety into robots
Nvidia is expanding its efforts in physical robotics at the same time.
Agility, a manufacturer of humanoid robots, was the first to incorporate safety features into its machines using Nvidia Halos for Robotics.
These robots are employed by companies including Amazon, GXO, Schaeffler, and Toyota Motor Manufacturing Canada in factories, warehouses, and shipping operations.
The next generation of robots will use AI models, quick processing, and sensors positioned throughout the area to move around in crowded areas adjacent to people.
Large-scale operation of these systems necessitates a complete safety arrangement.
Nvidia Halos provides businesses with a single standard safety design that connects AI computation, system software, sensor readings, safety applications, and robot inspection.
“Physical AI is transforming how factories, warehouses and logistics operations work, and robotics teams need a unified safety architecture to scale autonomous systems into these environments,” said Deepu Talla, vice president of robotics and edge AI at Nvidia, in a statement.
Closer ties in China and a stock dip
Nvidia is also building deeper supply links in China. Huang gave a video speech at the opening of the fourth China International Supply Chain Expo, known as CISCE, held in Beijing on Monday.
He said that “China is one of the world’s great centers of technology and industry.”
“China is one of the world’s great centers of technology and industry. The engineers are excellent. Developers move fast, companies built at remarkable scale,” he said.
At this year’s expo, Nvidia set up a 275-square-meter booth with 39 demos that covered its full AI stack, from chips and infrastructure to models and apps.
It also brought in more than 110 partners and ecosystem members for what it called its biggest AI showcase in China.
The company has said before that it plans to sell its H200 AI chips to China, but it has not shared further details.
Despite this broader reach, Nvidia shares declined in premarket trade on Monday, retreating from a recent peak of $236 while some competitors had a brief surge.
S&P 500 futures increased by 0.14%, while Nasdaq futures increased by 0.22%.
The early decline was not due to any company-specific news. Following a successful year for the stock, trading around important price points appeared to be the cause of the decline.
Before the next major event, traders are keeping an eye on whether buyers can maintain support.
That event is the company’s earnings report, set for about Aug. 26, 2026. Wall Street expects earnings of $2.06 per share, up from $1.04 a year earlier.
Revenue is forecast at $91.70 billion, compared with $46.74 billion in the same period last year.
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This articles is written by : Nermeen Nabil Khear Abdelmalak
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