衡宇 发自 量子位 | 公众号 QbitAI 本文经AI新媒体量子位（公众号 ID: QbitAI）授权转载，转载请联系出处 你敢想， 微软堆成山的GPU，只能在库房里吃灰 ？ 在最新播客节目BG2中，微软CEO纳德拉亲口承认公司正面临一个前所未有的尴尬：微软手上有成堆的GPU，却 因为缺电、缺空间 ，只能 闲置在那儿。 但最大的问题不是算力过剩的现状—— 最大的问题不是芯片供应，而是供电能力，以及我们能否足够快地建成靠近电源的数据中心。 如果做不到，你就会有一堆芯片只能躺在仓库。 微软缺电，大量GPU闲置 在微软内部，大量英伟达AI芯片被闲置。 不是因为算力已经足够或者"过剩"了，而是现在的基础设施不足以支撑这些芯片运行起来。 一是因为缺乏电力。 二是因为缺少可以立马投入使用的数据中心—— 也就是纳德拉口中的"warm shells"，即已经建好、具备足够供电与冷却能力的机房外壳。 这并不是他第一次对外谈及微软的烦恼。 去年，当被问及微软在2024年是否仍然受到英伟达芯片的供应限制时，纳德拉是这么说的： 我们受到的是电力限制，而不是芯片供应限制。 到了今年，这似乎成为了所有大模型巨头们共同面临的问题。 奥特 ...

Core Viewpoint - Microsoft is facing an unprecedented issue with a surplus of GPUs that are idly stored due to insufficient power supply and space for data centers [1][3][4]. Group 1: Power Supply Issues - The primary challenge is not the surplus of chips but the lack of power capacity and the speed at which data centers can be built near power sources [2][5]. - Microsoft has a significant number of NVIDIA AI chips that are currently unused due to power shortages [3][4]. - The overall power demand has surged in the past five years, driven by the AI and cloud computing boom, outpacing utility companies' capacity planning [11][12]. Group 2: Infrastructure Development - The construction of traditional power plants takes several years, while the demand for AI capabilities is growing rapidly, leading data center developers to seek alternative power solutions [13][14]. - Many data center developers are adopting "behind-the-meter" power supply methods to bypass public grids and meet energy needs directly [13]. - The construction timelines for solar energy systems are also lengthy, making it challenging to keep pace with the rapid changes in AI demand [16][27]. Group 3: Strategic Adjustments - Microsoft has decided not to hoard single-generation GPUs due to the risk of obsolescence and depreciation over time [24][25]. - The company emphasizes the need for energy-efficient chips as power constraints become a more pressing issue than chip availability [31][32]. - The industry is shifting focus from peak performance to energy efficiency in chip production as power supply becomes the limiting factor [30][32]. Group 4: Future Investments - Microsoft has received approval to export NVIDIA chips to the UAE for building AI training data centers and plans to invest $8 billion in the Gulf region over the next four years [34]. - This move indicates a shift of AI infrastructure from Silicon Valley to emerging markets with abundant energy resources [34][35].