微软无法为所有人工智能芯片供电,首席执行官萨蒂亚·纳德拉表示。
Microsoft Can't Power All Its AI Chips, Says CEO Satya Nadella

原始链接: https://www.zerohedge.com/markets/microsoft-cant-power-all-its-ai-chips-says-ceo-satya-nadella

微软首席执行官萨蒂亚·纳德拉透露,人工智能繁荣面临一个关键瓶颈:电力供应不足。在与OpenAI的萨姆·奥特曼的讨论中,纳德拉表示微软目前拥有的AI GPU数量超过了可用的电力供应,强调问题不在于芯片*供应*,而在于缺乏数据中心基础设施——特别是配备充足电力和冷却系统的“空壳”数据中心。 这种电力短缺是整个科技行业日益增长的担忧,因为各公司正竞相扩展人工智能能力。奥特曼建议,未来先进的人工智能模型可以在消费设备上本地运行,从而可能缓解部分需求。 然而,分析师警告说,如果没有对电力生产和数据中心容量的重大投资,人工智能硬件和模型开发的快速进展可能会受到阻碍,并可能导致放缓或市场修正。 这次对话凸显了人工智能创新与支持它所需的物理基础设施之间的差距日益扩大。

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原文

Microsoft CEO Satya Nadella says the company doesn’t have enough electricity to power all its AI GPUs, underscoring one of the biggest challenges in the current AI boom: energy supply. Speaking on the Bg2 Pod with OpenAI CEO Sam Altman, Nadella explained that the problem isn’t too many chips but too little power to run them, according to Tom's Hardware, who summarized the interview.

“The biggest issue we are now having is not a compute glut, but it’s power,” Nadella said. “If you can’t do that, you may actually have a bunch of chips sitting in inventory that I can’t plug in. In fact, that is my problem today. It’s not a supply issue of chips; it’s actually the fact that I don’t have warm shells to plug into.”

By “shells,” Nadella was referring to unfinished data center buildings — empty facilities that lack the necessary infrastructure, such as power and cooling, to host and run GPUs at scale. The shortage of available power has become a growing concern across the tech industry as companies like Microsoft, Google, and OpenAI race to expand AI infrastructure.

Tom's Hardware writes that Altman added that future consumer devices could one day run advanced AI models locally. “Someday, we will make a[n] incredible consumer device that can run a GPT-5 or GPT-6-capable model completely locally at a low power draw,” he said.

Their comments highlight a key tension in the AI sector: while hardware and model development are progressing rapidly, the physical and energy infrastructure needed to support them is lagging behind. Analysts warn that unless power generation and data center capacity scale up, the AI industry could face serious slowdowns — or even a correction — in the coming years.

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