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Rohan Paul更新于 10月21日 22:46

彭博估算得州 AI 数据中心建设成本:服务器占账单一半以上

Bloomberg published a piece on the estimated expenses to construct an AI data center in Texas

AI 导读

彭博发布了一篇关于在得州建设 AI 数据中心估算开支的文章。服务器至少占账单一半,两年内均价翻倍以上,DRAM 成本是去年的 5 倍多;电网很少在单点留出 1GW 余量,开发商要么按每兆瓦 58.4 万美元购买并网土地,要么自建燃气发电,而后者成本近年已涨至三倍。今年约 7500 亿美元的超大规模厂商资本开支争抢同样的涡轮机、钢材、铜和光纤,电力设备积压排到 2030 年之后,一个 1GW 站点可能需要近 30 亿美元应对超支;GPU 机架发热需液冷,仅在一个 1GW 站点安装服务器和冷却单元就要约 12 亿美元。

推荐理由

AI 评分 64

彭博给出的成本拆解显示,服务器、电力与散热正在把 AI 数据中心的建设门槛推到新量级。

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Bloomberg published a piece on the estimated expenses to construct an AI data center in Texas

> Servers make up at least half the bill, and demand has more than doubled their average price in 2 years while DRAM costs over 5 times last year’s price.

> Grids rarely have a spare gigawatt in one place, so developers either pay $584K per megawatt for grid-connected land or build their own gas generation, whose cost has tripled in recent years.

> About $750B of hyperscaler capex this year chases the same turbines, steel, copper and fiber, so power-gear backlogs run past 2030 and a 1GW site may need nearly $3B for overruns.

> GPU racks run hot enough to need liquid cooling, which makes merely installing the servers and cooling units in a 1GW site cost about $1.2B.

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Rohan Paul