Rohan Paul · @rohanpaul_ai · X·2026-09-26 14:48·40分钟前
AI 导读

Rohan Paul 引述 Columbia Business School 报告《Financing the AI Buildout》,测算 2025–2032 年新增 182.7 GW 美国数据中心容量约对应 107 万机架、7700 万块 GPU(按 GB300 NVL72 配置),需要 3.725 万亿美元成熟年收入,折合约 5.5 美元每 GPU 小时(满载)。

Rohan Paul@rohanpaul_ai
59AI 编辑部评分,满分 100
2026-09-26 14:48· 40分钟前
AI 导读

Rohan Paul 引述 Columbia Business School 报告《Financing the AI Buildout》,测算 2025–2032 年新增 182.7 GW 美国数据中心容量约对应 107 万机架、7700 万块 GPU(按 GB300 NVL72 配置),需要 3.725 万亿美元成熟年收入,折合约 5.5 美元每 GPU 小时(满载)。

The $800B–$1T AI capex wave is a beautiful choreography of chips, power, credit, and capital.

Hyperscalers bring the credit quality, outside investors bring the capital, and frontier AI firms get access to far more compute than they could finance on their own.

From Columbia Business School report "Financing the AI Buildout" ans that.

Rohan PaulHow 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 B...

来源:Rohan Paul· x.com