AI觉醒星球
Awakening is here
Knowledge File / AI小生意项目库
2026-08-17 0 浏览 会员

OpenAI签下俄亥俄州创纪录数据中心租约,Nvidia提供高达1050亿美元支持

OpenAI租用软银子公司SB Energy在俄亥俄州的数据中心,容量约8吉瓦,租期20年;Nvidia提供最高1050亿美元担保并成为独家芯片供应商。

SOURCE / AI小生意项目库 MIN / 9 ACCESS / 会员 POST / 2026-08-17 22:13:26

原贴

查看原文
作者:Maximilian Schreiner 来源站点:the-decoder.com 原贴时间:

原文

OpenAI is leasing a new data center with around 8 gigawatts of IT capacity from SoftBank subsidiary SB Energy in Ohio for 20 years. Nvidia is backing the project with up to $105 billion and becomes the exclusive chip supplier. Nvidia CEO Jensen Huang now sees land, power, and building shells as the biggest bottlenecks in the AI buildout. The Wall Street Journal reports that major tech companies hold around $3 trillion in AI commitments off their balance sheets. Analysts warn that investors can barely gauge these companies' actual debt levels anymore. OpenAI has signed a lease for the largest data center project announced to date, with Nvidia guaranteeing up to $105 billion. Nvidia CEO Jensen Huang is calling "LPS" the next strategic resource, while the Wall Street Journal reports that $3 trillion in AI commitments like these don't show up on any balance sheet. OpenAI has signed a 20-year lease with SoftBank subsidiary SB Energy for the "PORTS-Pike" campus in Ohio. The deal gives OpenAI around 8 gigawatts of IT capacity , while the WSJ puts the project's gross total at 10 gigawatts once cooling and infrastructure are factored in. The site sits partly on a former US Department of Energy uranium enrichment facility and draws power from a 9.2-gigawatt gas plant that the US government owns and Japan is financing as part of a trade agreement. Huang announced the deal with a new acronym. "LPS" stands for land, power, and shell, meaning the site, the electricity supply, and the building itself. According to Huang, these basics have replaced chips and networking gear as the real bottleneck in the AI buildout. AI labs like OpenAI are growing faster than their balance sheets can support long-term infrastructure contracts, so Nvidia is stepping in with its financial muscle. Ad The WSJ describes how the arrangement works: Nvidia isn't guaranteeing OpenAI's rent payments. Instead, it's backing the residual value of the finished data centers in the first construction phase, which covers 4.25 gigawatts of IT capacity. If OpenAI walks away, SB Energy first has to find a replacement tenant, then try to sell the facilities. Only then does Nvidia cover the difference in value, capped at $105 billion. In return, Nvidia becomes the exclusive chip supplier for the first half of the site and is investing $1.5 billion in SB Energy. Ad Huang expects around 1.5 million GPUs per system generation, or $150 to $200 billion in revenue. Across all sites, he puts OpenAI's commitments through 2030 at roughly 12 gigawatts of Nvidia compute. If Nvidia exercises its option on the remaining 3.75 gigawatts in Ohio, the package grows to about 16 gigawatts worth roughly $600 billion. OpenAI says it only pays for finished capacity. The first 800 megawatts are slated to come online in 2028. A Wall Street Journal analysis shows how large these commitments have become across the industry. Nine tech companies, including Alphabet, Meta, Microsoft, and Nvidia, hold around $3 trillion in mostly AI-related obligations that don't appear on their balance sheets. Leases only get recorded once payments begin, and purchase commitments only when goods are delivered. Leases that haven't started yet add up to $1.2 trillion, four times as much as a year earlier. At Alphabet, purchase commitments jumped from $332 billion to $811 billion within three months. Ad The contracts are nearly impossible to cancel, and both Alphabet and Amazon recently reported negative free cash flow. Morgan Stanley analysts warn that investors can barely gauge these companies' actual debt levels anymore. The WSJ had already reported that Nvidia originally wanted to backstop the entire project with around $250 billion, but scaled back the guarantee after a 5 percent stock drop and pressure from investors. The final $105 billion cap comes in below the $120 billion figure that circulated most recently, and it only covers the asset value rather than the full lease. Ad Subscribe to THE DECODER for ad-fr

中文翻译

OpenAI正从软银子公司SB Energy租赁俄亥俄州一个约8吉瓦IT容量的新数据中心,租期20年。Nvidia为该项目提供高达1050亿美元支持,并成为独家芯片供应商。Nvidia CEO黄仁勋现在认为土地、电力和建筑外壳是AI建设中的最大瓶颈。《华尔街日报》报道,大型科技公司持有约3万亿美元的AI承诺,这些承诺不在其资产负债表上。分析师警告,投资者几乎无法再评估这些公司的实际债务水平。OpenAI已签署了迄今宣布的最大数据中心项目的租约,Nvidia保证高达1050亿美元。Nvidia CEO黄仁勋称“LPS”为下一个战略资源,而《华尔街日报》报道,像这样的3万亿美元AI承诺不会出现在任何资产负债表上。OpenAI已与软银子公司SB Energy就俄亥俄州“PORTS-Pike”园区签署了20年租约。该协议为OpenAI提供约8吉瓦的IT容量,而《华尔街日报》称,计入冷却和基础设施后,项目总规模为10吉瓦。该地点部分位于前美国能源部铀浓缩设施上,电力来自一座9.2吉瓦的燃气电厂,该电厂由美国政府拥有,并由日本根据贸易协定提供融资。黄仁勋用一个新首字母缩写词宣布了这笔交易。“LPS”代表土地、电力和外壳,即场地、供电和建筑本身。据黄仁勋称,这些基础要素已取代芯片和网络设备,成为AI建设中的真正瓶颈。像OpenAI这样的AI实验室增长速度超过了其资产负债表支持长期基础设施合同的能力,因此Nvidia正以财务实力介入。广告《华尔街日报》描述了该安排的运作方式:Nvidia不保证OpenAI的租金支付。相反,它支持第一阶段(覆盖4.25吉瓦IT容量)竣工数据中心的剩余价值。如果OpenAI退出,SB Energy必须先找到替代租户,然后尝试出售设施。只有到那时,Nvidia才弥补价值差额,上限为1050亿美元。作为回报,Nvidia成为该站点前半部分的独家芯片供应商,并向SB Energy投资15亿美元。广告黄仁勋预计每代系统约150万颗GPU,或1500亿至2000亿美元收入。在所有站点中,他估计OpenAI到2030年的承诺约为12吉瓦的Nvidia算力。如果Nvidia行使对俄亥俄州剩余3.75吉瓦的选择权,该组合将增长到约16吉瓦,价值约6000亿美元。OpenAI表示只为已完工的容量付费。首批800兆瓦计划于2028年上线。《华尔街日报》的分析显示这些承诺在整个行业变得多么庞大。包括Alphabet、Meta、微软和Nvidia在内的九家科技公司持有约3万亿美元的风险主要与AI相关的义务,这些义务不出现在其资产负债表上。租赁只有在付款开始后才被记录,购买承诺只有在货物交付后才被记录。尚未开始的租赁累计达1.2万亿美元,是一年前的四倍。在Alphabet,购买承诺在三个月内从3320亿美元跃升至8110亿美元。广告这些合同几乎不可能取消,Alphabet和亚马逊最近都报告了负自由现金流。摩根士丹利分析师警告,投资者几乎无法再评估这些公司的实际债务水平。《华尔街日报》此前报道,Nvidia原本想用约2500亿美元支持整个项目,但在股价下跌5%和投资者压力下缩减了担保。最终1050亿美元的上限低于最近流传的1200亿美元数字,并且它只覆盖资产价值而不是全部租赁。广告订阅THE DECODER以获取无广告版本。

核心信息

OpenAI租用软银子公司SB Energy在俄亥俄州的数据中心,容量约8吉瓦,租期20年;Nvidia提供最高1050亿美元担保并成为独家芯片供应商。

  • OpenAI租用软银子公司SB Energy在俄亥俄州的数据中心,容量约8吉瓦,租期20年;Nvidia提供最高1050亿美元担保并成为独家芯片供应商。
  • 原贴提到:OpenAI is leasing a new data center with around 8 gigawatts of IT capaci
  • 来源:the-decoder.com
试看内容

成为会员查看完整内容

你已经看到了这篇内容的前置整理,剩余深度部分仅对会员开放。

详细解读 信息差价值 参考来源
成为会员查看完整内容
上一篇 AirTag揭露亚马逊如何为AI训练销毁稀有书籍 下一篇 AI视频市场在Sora失败后强势反弹