According to China Business News, according to the latest report by Digital Information World, the energy consumption of data centers to train AI models, traditional cloud computing $ALI$ It will be three times as big. Power demand for US data centers is expected to increase by about 10% annually through 2030. The computing power of the AI world $GEL$ is the foundation of my business, and the bottleneck of computing power is ultimately electricity. $KT$ As competition for the AI arms race heats up, competition for power becomes more and more important. Data, OpenAI training $GPT$ shows that the -3 consumes 1,287 gigawatt hours of electricity $BU$ roughly 120 American $KAN$ Equivalent to one year's electricity consumption of the household. And that's just upfront electricity to train the AI model, which is only 40% of the electricity the model consumes when actually in use. Just one month's consumption of OpenAI in January 2023 could be equivalent to the annual electricity consumption of 175,000 households in Denmark. Google AI consumes 2.3 terawatt hours of electricity per year, which is equivalent to the annual electricity consumption of all Atlanta households. #HotTopicDiscussion# #GateioBountyCreator# #BountyCreator# #NewsMessenger# #比特币# #