原文標題：
Nvidia plans to invest up to $100 billion in OpenAI as part of data center
buildout
原文連結：https://tinyurl.com/yh2h86m6
發布時間：Published Mon, Sep 22 2025 12:10 PM EDT
記者署名：Kif Leswing
原文內容：
Nvidia will invest $100 billion in OpenAI as the artificial intelligence lab
sets out to build hundreds of billions of dollars in data centers based around
the chipmaker’s AI processors, the companies said on Monday.
輝達將投資1000億美元於OpenAI，因為這家AI實驗室正計劃建設數千億美元規模的資料中
心，而這些中心將以輝達的AI處理器為核心，兩家公司週一表示。
OpenAI plans to build and deploy Nvidia systems that require 10 gigawatts of
power, the companies said on Monday. A gigawatt is a measure of power that is
increasingly being used to describe the biggest clusters of AI chips.
OpenAI計劃建設並部署需要10吉瓦電力的輝達系統。吉瓦（GW）是一種功率單位，越來越
常被用來描述最大規模的AI晶片集群。
Huang told CNBC’s Jon Fortt in an interview in San Jose, California, that the
10 gigawatts is equal to between 4 million and 5 million graphics processing
units (GPUs), which is what the company will ship in total this year and “
twice as much as last year.”
黃仁勳在加州聖荷西接受CNBC訪問時表示，10吉瓦相當於400萬至500萬顆GPU，這正是輝
達今年的出貨總量，比去年多一倍。
“This is a giant project,” Huang said, in the interview alongside OpenAI CEO
Sam Altman and Greg Brockman, the company’s president.
黃仁勳與OpenAI執行長山姆‧奧特曼（Sam Altman）、總裁Greg Brockman共同接受訪問
時表示：「這是一個巨大的計畫。」
Nvidia stock rose almost 4% during on Monday, lifting the company’s market
cap to about $4.5 trillion.
輝達股價週一上漲近4%，市值提升至約4.5兆美元。
The partnership, which Huang described as “monumental in size,” highlights
the intimate link between OpenAI and Nvidia, two of the biggest drivers of the
recent AI boom. Demand for Nvidia’s GPUs started picking up when OpenAI
first released ChatGPT in 2022, and OpenAI still relies GPUs to develop its
software and deploy it to users.
黃仁勳稱這次合作「規模空前」，凸顯了OpenAI與輝達的緊密聯繫，這兩者是近年AI熱潮
的最大推手之一。自2022年OpenAI推出ChatGPT以來，輝達GPU需求開始飆升，而OpenAI仍
仰賴GPU來開發並部署其軟體。
“Nvidia invests $100 billion in OpenAI, which then OpenAI turns back and
gives it back to Nvidia,” Bryn Talkington, managing partner at Requisite
Capital Management, told CNBC after the announcement. “I feel like this is
going to be very virtuous for Jensen.”
Requisite Capital Management管理合夥人Bryn Talkington在消息公佈後告訴CNBC：「
輝達投資1000億美元給OpenAI，而OpenAI再把這筆錢花回給輝達。我覺得這對黃仁勳來說
會是非常有利的循環。」
It further signals the magnitude of Nvidia technology that OpenAI will need to
develop next-generation AI that can do more than its current models. OpenAI
was already in need of an increasing number of chips to serve its users. The
company said it had 700 million active weekly users.
這也顯示了OpenAI在開發比現有模型更強大的下一代AI時，對輝達技術的巨大需求。
OpenAI本就需要越來越多晶片來服務其用戶，該公司表示其活躍的週用戶數已達7億。
“You should expect a lot from us in the coming months,” Altman said in the
interview. “There are three things that OpenAI has to do well: we have to do
great AI research, we have to make these products people want to use, and we
have to figure out how to do this unprecedented infrastructure challenge.”
奧特曼在訪談中說：「未來幾個月，你們應該對我們抱有很大期待。OpenAI必須把三件事
做好：一是做出最好的AI研究，二是打造用戶想用的產品，三是解決這場前所未有的基礎
設施挑戰。」
The companies said the investment will be deployed “progressively” as the
infrastructure is built and that Nvidia would be a “preferred” supplier for
OpenAI for chips and networking gear. Nvidia dominates the market for AI chips
, but faces increased competition from Advanced Micros Devices and cloud
providers which are developing their own chips and systems to tie them
together.
兩家公司表示，這筆投資將隨基礎設施建設「逐步」投入，而輝達將成為OpenAI「首選」
的晶片與網路設備供應商。輝達雖然主導AI晶片市場，但也面臨AMD和各大雲端供應商的
挑戰，後者正在研發自有晶片與系統。
In August, Huang told investors on an earnings call that building one gigawatt
of data center capacity costs between $50 billion and $60 billion, of which
about $35 billion of that is for Nvidia chips and systems.
黃仁勳在8月的財報電話會議上告訴投資人，建設1吉瓦的資料中心需要花費500億至600億
美元，其中約350億美元將用於購買輝達晶片與系統。
Nvidia and OpenAI said that the first phase of the latest investment will come
online in the second half of 2026, using Nvidia’s next-generation Vera Rubin
systems.
輝達與OpenAI表示，這項投資的第一階段將於2026年下半年上線，採用輝達的下一代「
Vera Rubin」系統。
Nvidia’s investment comes after a roster of investors valued OpenAI at $500
billion in a recent secondary round. Microsoft was one of OpenAI’s early
investors, and has a strategic partnership to integrate OpenAI models into its
cloud service, Azure, and Microsoft Office. Other OpenAI investors include
SoftBank and Thrive Capital.
這筆投資是在近期二級市場融資中投資人將OpenAI估值定為5000億美元之後出現的。微軟
是OpenAI的早期投資者之一，並與其建立戰略合作，把OpenAI模型整合進Azure雲服務和
Office套件。其他投資人包括軟銀和Thrive Capital。
The companies said on Monday that the partnership will compliment the
infrastructure work it is doing with Microsoft, Oracle, SoftBank and the
Stargate project.
兩家公司週一表示，這項合作將補充其與微軟、甲骨文、軟銀及Stargate專案正在進行的
基礎設施工作。
Altman referred to Nvidia and Microsoft as “passive” investors and two of
the company’s “most critical partners” in the CNBC interview.
奧特曼在接受CNBC訪問時稱輝達與微軟為「被動投資者」，但同時是公司「最關鍵的合作
夥伴」之一。
Huang said Nvidia’s investment is “additive to everything that’s been
announced and contracted.” He indicated to CNBC that it’s in addition to
anything the company has told Wall Street about its financial expectations.
黃仁勳表示，輝達的投資是「在所有已宣布與簽約事項之上的額外投資」。他向CNBC指出
，這是超出公司向華爾街公開的財務預期之外的舉措。
While this investment dwarfs Nvidia’s prior commitments, the chipmaker has
been opening its wallet of late to put funds in many companies in and around
the industry.
雖然這筆投資遠超過輝達過去的承諾，但該公司近期已頻頻出手投資AI相關公司。
Last week, Nvidia said it’s taken a $5 billion stake in Intel and announced
that the two companies will collaborate on AI processors. Nvidia also said it
invested close to $700 million in U.K. data center startup Nscale. And CNBC
reported on Thursday that the company spent over $900 million to hire
Enfabrica CEO Rochan Sankar and other employees at the AI startup, and to
license the company’s technology.
上週，輝達表示已持有英特爾價值50億美元的股份，並宣布兩家公司將在AI處理器上合作
。輝達還表示已投資近7億美元於英國資料中心新創Nscale。而據CNBC報導，輝達花費超
過9億美元聘用AI新創Enfabrica的CEO Rochan Sankar與其他員工，並取得其技術授權。
心得/評論：
投資金額：輝達將投入高達1000億美元於OpenAI，主要用於建設10GW級別的AI資料中心，
相當於400–500萬顆GPU。
互利循環：OpenAI會把這筆錢用於購買輝達晶片與系統，形成「投資-消費-再回流」的正
向循環。
OpenAI需求：OpenAI目前有7億活躍週用戶，迫切需要龐大算力，這次合作確保輝達的技
術供應鏈地位。
估值背景：OpenAI最近在二級市場估值約5000億美元，主要投資人包括微軟、軟銀與
Thrive Capital。
競爭與佈局：輝達正面臨AMD與雲端大廠的自研晶片挑戰，因此積極投資上游與下游企業
，鞏固生態。
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