Countries In The AI Race Are Realizing They Are Also In An Energy Race
The post Countries In The AI Race Are Realizing They Are Also In An Energy Race appeared on BitcoinEthereumNews.com. STONE RIDGE, VIRGINIA – JULY 17: In an aerial view, an Amazon Web Services data center is shown on … More July 17, 2024 in Stone Ridge, Virginia. Northern Virginia is the largest data center market in the world, according to a report this year cited in published accounts, but is facing headwinds from availability of land and electric power. (Photo by Nathan Howard/Getty Images) Getty Images From Washington to Beijing, leaders are pouring billions into AI research, model development, and chip manufacturing. But these efforts rest on a fundamental and increasingly scarce input: electricity. AI uses an incredible amount of power, and even including “please” and “thank you” in replies to ChatGPT costs “millions of dollars” in energy costs, according to Sam Altman, CEO of OpenAI. Stakeholders across the space are steadily realizing that abundant, low-cost, and reliable energy may become the main constraint in AI growth. When talking about the amount of energy needed to power data centers, Sam Altman said, “There’s no way to get there without an (energy) breakthrough,” he said. “It motivates us to go invest more in fusion.” The Electric Power Research Institute recently increased its data center power consumption estimates after incorporating more AI growth, saying data centers could consume over 9% of US power in a few years. Meanwhile, the International Energy Agency (IEA) estimates that global electricity consumption from data centers, AI, and cryptocurrencies could double by 2026, exceeding the electricity use of Japan. Third-party forecasts such as this are steadily climbing, as many forecasters aren’t used to demand growing at this rate. The power supply chain is also not prepared for this level of growth, and there are already constraints with a steady climb in prices for critical inputs such as natural gas and over 100-week order times for relevant…
The post Countries In The AI Race Are Realizing They Are Also In An Energy Race appeared on BitcoinEthereumNews.com.
STONE RIDGE, VIRGINIA – JULY 17: In an aerial view, an Amazon Web Services data center is shown on … More July 17, 2024 in Stone Ridge, Virginia. Northern Virginia is the largest data center market in the world, according to a report this year cited in published accounts, but is facing headwinds from availability of land and electric power. (Photo by Nathan Howard/Getty Images) Getty Images From Washington to Beijing, leaders are pouring billions into AI research, model development, and chip manufacturing. But these efforts rest on a fundamental and increasingly scarce input: electricity. AI uses an incredible amount of power, and even including “please” and “thank you” in replies to ChatGPT costs “millions of dollars” in energy costs, according to Sam Altman, CEO of OpenAI. Stakeholders across the space are steadily realizing that abundant, low-cost, and reliable energy may become the main constraint in AI growth. When talking about the amount of energy needed to power data centers, Sam Altman said, “There’s no way to get there without an (energy) breakthrough,” he said. “It motivates us to go invest more in fusion.” The Electric Power Research Institute recently increased its data center power consumption estimates after incorporating more AI growth, saying data centers could consume over 9% of US power in a few years. Meanwhile, the International Energy Agency (IEA) estimates that global electricity consumption from data centers, AI, and cryptocurrencies could double by 2026, exceeding the electricity use of Japan. Third-party forecasts such as this are steadily climbing, as many forecasters aren’t used to demand growing at this rate. The power supply chain is also not prepared for this level of growth, and there are already constraints with a steady climb in prices for critical inputs such as natural gas and over 100-week order times for relevant…
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