# Columbia Business School 报告测算美国 182.7 GW 数据中心扩建所需的单位算力收入

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-09-26 14:41
- AIHOT 分数：59
- AIHOT 链接：https://aihot.news/items/cmui1vn0r09tmrowbj20bl0s3
- 原文链接：https://x.com/rohanpaul_ai/status/2103736651663208491

## AI 摘要

Columbia Business School 报告《Financing the AI Buildout》测算 2025 至 2032 年美国新增 182.7 GW 数据中心容量的收入要求。

## 正文

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.