哥伦比亚商学院测算：美国新增 182.7 GW 数据中心需要多少收入支撑
哥大商学院算了笔账：7700万块 GPU 要赚回 3.725 万亿，摊下来每 GPU 小时 5.5 美元，比现在租价还低，基建账能算平。
哥伦比亚商学院报告《Financing the AI Buildout》测算，2025 至 2032 年美国数据中心将新增 182.7 GW 容量。按 GB300 NVL72 配置折算，相当于约 107 万个机架、7700 万块 GPU。要撑起这一建设规模，需要每年 3.725 万亿美元的成熟期收入，约合每 GPU 小时 5.5 美元（满载）。这一数字落在当前 NVIDIA 高端算力 6 至 10 美元以上的每 GPU 小时租价区间之下，说明中心情景在现有算力价格下算术上成立。
How much revenue each unit of deployed compute would need to generate for 182.7 GW of additional U.S. data-center capacity between 2025 and 2032
This Columbia Business School report "Financing the AI Buildout" ans that.
182.7 GW is its central buildout scenario which is the U.S. data-center capacity between 2025 and 2032.
Using the GB300 NVL72 configuration, that capacity works out to roughly 1.07 million racks / 77 million GPUs, which lets the author express the required $3.725 trillion of mature annual revenue as about $5.5 per installed GPU-hour at full utilization.
This required unit revenue sits within the $6–$10+ per GPU-hour for current high-end NVIDIA capacity, so the central scenario does not require some radically higher compute price to make the arithmetic work.
