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AI 數據中心為何使用飛機引擎發電?

Why artificial intelligence centers use aircraft engines for electricity

AI 導讀

部分 AI 數據中心營運商改裝噴射引擎,以天然氣發電,藉此避開電網接駁延誤,縮短等候供電的時間。採用這種做法,數據中心可在 24 個月內投入運作;維珍尼亞州一個 100 MW 電網接駁則可能需時約七年。xAI 已在密西西比州 Colossus 2 使用 8 台這類渦輪機;不過,這些改裝設備較專用燃氣發電機效率低、污染更多。

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Grid connection delays for AI data centers can stretch to years; a 100 MW connection in Virginia can take about seven.

Some operators are converting rebuilt jet engines to burn natural gas and generate power, a faster approach that is less efficient and more polluting than conventional gas generators.


The solution of improvised generators

Companies are taking aircraft engines and modifying them to function as generators. With this method, a data center can be up and running in 24 months, avoiding years of waiting for upgrades to public grids. The Trump administration is supporting this practice, encouraging data centers to generate their own electricity.

Who uses turbines?

Several companies have already started implementing this plan:

  • xAI: Elon Musk's company is using eight such turbines in Mississippi for the Colossus 2 data center.
  • OpenAI: It plans to use similar units at its facility in Abilene, Texas.
  • Crusoe: The company ordered 13 units from ProEnergy in April 2026. In September 2026, Crusoe walked away from a $1,25 billion deal to buy 29 turbines from Boom Supersonic.

The effects of energy shortages

The difficulty of accessing electricity is already causing problems for large-scale investments. For example, Microsoft was forced to end a partnership in England, as the local grid could not provide the necessary energy before the period 2030-2035.

Environmental cost

Despite the speed advantage, jet engines converted into generators have significant disadvantages compared to conventional solutions designed specifically for power generation. They are less efficient and cause more pollution, highlighting the environmental risks of this temporary solution.

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來源:DEV Community · dev.to