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

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.

本条情报归属 AITOP「论文」核心栏目，重点聚焦北美前沿实验室与硅谷科技巨头。在跨区域产业观察坐标中，该动态直接关联「AI 开发者工具链、Coding Agent 与工程化实践」研究主线，反映出当前技术演进与商业落地的最新风向。涉及核心实体与技术议题包括：GB300 NVL72、NVIDIA、数据中心、AI算力，读者可通过下方标签进入对应专题页查阅历史脉络与关联对比。

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