European AI infrastructure lags far behind China and the United States! Huang Renxun boasts: NVIDIA GPUs are the best solution to narrow the gap.

Nvidia CEO Huang Renxun recently stated at an event in Copenhagen, Denmark, that compared to the United States and China, European countries are still lagging behind in the promotion of AI, making it difficult to support the hardware needed for AI systems. Therefore, it is necessary to accelerate AI development as soon as possible. (Background: Nvidia's GB200 'top AI server' is in high demand! Foxconn receives orders: demand is extremely strong) (Context: Nvidia's market capitalization once surpassed Apple's! Tesla's expanded chip procurement support; experts: avoiding this risk is expected to continue to rise) AI chip giant Nvidia CEO Huang Renxun recently attended an event in Copenhagen, Denmark, partnering with the Danish king to launch the country's largest sovereign AI supercomputer. This new facility aims to promote breakthrough developments in Quantum Computing, clean energy, biotechnology, and other fields. Insufficient AI infrastructure in Europe However, according to Reuters, Huang Renxun publicly stated at the event that compared to the United States and China, European countries are still lagging behind in the promotion of AI, making it difficult to support the hardware needed for AI systems. Currently, there are only a few AI companies in Europe, including a handful of companies such as Mistral in France and Aleph Alpha in Germany. Huang Renxun further stated that European countries must accelerate AI development because every country is awakening: the EU must accelerate progress in the field of artificial intelligence. Every country is awakening, realizing that data is a national resource. The tool to narrow the gap is AI infrastructure, especially Nvidia GPUs. In addition, regarding Huang Renxun's call for European countries to accelerate the development of the AI industry, users on the PTT community have expressed their opinions. Many people believe that the problem lies with the countries themselves, as Europe has long lost its competitive edge in the fields of AI and high technology; others point out that AI involves personal privacy, making it relatively difficult to promote within the EU. In addition, the issue of electricity is also a key factor. Europe's electricity supply is mainly based on environmental protection and renewable energy, making it relatively resistant to the construction of AI data centers. Plans to establish a data center near a nuclear power plant in Japan On the other hand, when Huang Renxun attended the Taipei International Computer Show (COMPUTEX 2024) in Taiwan in June, industry insiders revealed that Huang Renxun intended to establish a second R&D center and data center in Taiwan, which caused a stir among the people of Taiwan at that time. However, to this day, there is still no news of Nvidia building a factory in Taiwan. In contrast, in Japan, Ubitus K.K, a cloud service provider invested by Nvidia, plans to establish a new data center in Japan. The company specifically emphasizes that data centers must be located near nuclear power plants. Ubitus CEO Guo Rongchang stated: The company is considering purchasing land in Kyoto, Shimane Prefecture, or Kyushu Island, as these areas have abundant nuclear energy resources. In addition, according to previous reports from BlockTempo, Taiwan Semiconductor Manufacturing Company's CFO Huang Zhaoren stated at a press conference that in the latest electricity price adjustment in October, TSMC's electricity usage fee increased by 14%, making it the highest price among global operating sites. However, Taiwan Power Company subsequently responded that in Japan, companies can negotiate with the government to strive for lower electricity prices. And since Ubitus, invested by Nvidia, will set up a data center near a nuclear power plant in Japan, besides valuing abundant nuclear energy resources, it may also be in order to negotiate with the Japanese government for lower electricity prices. Related reports OpenAI completes new financing with a valuation soaring to 157 billion dollars, with Microsoft, Nvidia, and SoftBank participating, but with one condition Nvidia implicated in 'concealing miner purchases of GPUs' for over 1 billion dollars in revenue, US Department of Justice and SEC support collective lawsuit Nvidia GPU bubble about to burst? Experts: Nvidia H100 lease price plummeting to '2 dollars per hour' - why the sharp decline in demand 〈European AI infrastructure lags behind China and the US! Huang Renxun sells the idea: Nvidia GPUs are the best solution to narrow the gap〉 This article was first published in BlockTempo by DynamicQuotient, the most influential blockchain news media.