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Jensen Huang, head of Nvidia, said that the Europe's lack of computing power for artificial intelligence would soon be solved, because the continent within the race within the racing is in regards to the rapidly developing technology with the USA and China.
In the following few years, a minimum of 20 AI calculus centers are planned throughout Europe, said Huang on Wednesday at Vivatech Conference in Paris, since he had predicted ten times a rise within the region's data center capability in the following two years.
This comprises five “gigafactores” locations that carry tons of of 1000’s of NVIDIA – powerful graphics processing units, the chips which are required for the training and execution of enormous -scaling models.
“Europe goes on AI,” said Huang. “The amount of AI infrastructure that shall be built here will increase by an order of magnitude in the following few years.”
Part of this growth takes place from an prolonged partnership between Nvidia and Mistral AI, the French start-up, which turned out to be the very best hope of Europe for an area developer who’s capable of adopt AI rival within the USA and China similar to Openaai and Deepseek.
Mistral, wherein Nvidia is an investor, will use 18,000 of the newest generation of the Chipmaker Blackwell GPUS in a brand new facility wherein his managing director Arthur Mensch is described as a “transformative step” for the corporate, which “maintains the technological autonomy of Europe”. Mistral is constructing his first large -scale data center in Essonne, just outside of Paris, and plans to expand its infrastructure across Europe.
The announcement follows Huang's warning in London on Monday that Great Britain “missed” the infrastructure that needed to take advantage of its AI potential when cloud providers based in Europe and Nebius plans for the development of latest facilities with 1000’s of Nvidia GPUs in Great Britain.
Offers like this may strengthen Nvidia's efforts to advertise the “sovereign AI”. They are crucial for the diversification of their business of a small abundance of American Big -Tech corporations that make up an unlimited proportion of their income.
The availability of local capital and reliable power supply was seen as an obstacle to the European AI capability. Large AI facilities can cost tens of billions of dollars to construct and eat enormous amounts of energy.
In a report in October in October, McKinsey warned of “significant challenges” last October within the scaling of European AI capacities, including limited power sources, lack of skills for electrical engineering and slowdown processes. McKinsey predicted that data centers within the region would require an investment of USD 300 billion to satisfy the demand and almost triple its electricity consumption by the top of the last decade.
In Paris on Wednesday, Huang advertised an unlimited expansion of the “indigenous AI infrastructure, here in Europe, by European corporations, for the European market”, along with the info centers built by US cloud providers.
“Your AI deficiency, your GPU deficiency will soon be decided for you,” he told the researchers and start-ups within the audience of Vivatech.
