AI算力荒颠覆矽谷！科技巨头抢破头竞争对手也得联手找资源

人工智慧(AI)算力供不应求，正在改变矽谷的竞争规则，随着算力成为AI开发的关键资源，彼此竞争的科技公司开始合作取得运算能力，创投业者也将晶片资源视为吸引新创公司的重要筹码。

华尔街日报(WSJ)报导，昔日势不两立的竞争对手开始建立新联盟，例如全球首富马斯克与Anthropic执行长阿莫戴(Dario Amodei)旗下公司便曾合作取得算力。

Google(GOOGL-US)则曾在2024年以27亿美元重新聘回AI顶尖研究员Noam Shazeer，但Shazeer因获得的运算资源有限，后来转赴OpenAI。

旧金山算力供应商SF Compute执行长Evan Conrad说：「现在正发生一场大规模淘金热，要完全理解这场竞赛的规模并不容易。」

SF Compute负责评估资料中心，再将其算力出租给AI企业，客户从辉达(NVDA-US)等大型业者到Standard Intelligence等小型新创都有。该公司技术长Eric Park为寻找可用算力，走访美国偏远地区、马尼拉及台北，甚至在一间改建自鸡舍的设施找到伺服器。他也曾在马尼拉遇上洪水，导致车辆抛锚。

算力价格飙升新创被迫签长约、付高额预付款

由于既有算力供应商都会要求客户签订多年合约，并提高预付款，部分新创公司因此只能寻找供应不稳定的业者。

加拿大AI新创Cohere共同创办人Nick Frosst表示，目前实际上真正可用的资源很少，许多已宣布的资料中心计划最后遭到取消，或实际规模小于承诺。

开源AI新创Arcee透露，最近因为合作伙伴的资料中心延后完工，而失去一笔交易。

在强劲需求下，算力成本正在攀升。根据数据与顾问公司SemiAnalysis，以一年期合约计算，租用辉达(NVDA-US)晶片的每小时费用较去年同期上涨60%。Alphabet则预估今年资本支出最高可达2000亿美元，其中很大一部分将投入AI基建。

高层亲自出马乔算力连宿敌也得合作

即使是最忙碌的AI企业高层，如今也得亲自介入算力谈判。

Anthropic共同创办人Tom Brown今年3月底层前往马斯克旗下的xAI，洽谈租用算力，据悉当时Claude Code大获成功，Anthropic面临算力吃紧及服务频繁中断问题。

Anthropic后来与马斯克的SpaceX(SPCX-US)达成协议，租用超过300MG的算力，而且未来数年合约金额最高可达450亿美元，消息震撼业界。

马斯克过去曾公开批评过Anthropic，但在合作消息公布后，他在X发文表示，自己对Anthropic高层团队的成员印象深刻。

报导说，阿莫戴今年稍早也曾联络Meta(META-US)AI长汪涛(Alexandr Wang)，试图取得更多算力，但Meta经评估后暂不提供。而这些都还不算在Anthropic过去一年宣布的数千亿美元算力交易中。

Google内部同样为有限算力该如何分配而争论不休。知情人士表示，在Google山景城办公室，研究人员对哪些计划应优先取得珍贵的运算资源产生激烈的分歧。共同创办人布林(Sergey Brin)有时会打破正式的算力分配程序，将资源重新分配给他认为重要的计划。

算力成新创生存关键创投也下场抢资源

AI热潮初期，大型与小型企业都能向亚马逊网路服务(AWS)等业者租用AI晶片丛集，不必签署多年期合约，也不必支付天价预付款。

但随着顶尖AI实验室大量吸收可用算力，云端供应商开始要求客户签订多年期合约，预付款有时高达合约金额的30%。部分供应商甚至要求新创公司寻找担保人，在企业无力付款时代为履行合约。

对新创公司来说，挑战不只是取得算力，还包括准确预测成长后究竟需要多少算力。为降低取得算力的不确定性，有些企业签下超过实际需求的合约，另一些新创则高估自家AI产品的需求，最终不得不转售多余的算力。

AI助理新创公司Instinct AI上个月募得10亿美元，估值达100亿美元，但面对资金与算力更充裕的Meta、OpenAI，仍可能难以竞争。执行长Noah Shinn正考虑是否提前购入足以支援假设中的1亿名使用者的算力。

创投业者也开始预订运算丛集，再出租给新创公司，或替企业保证算力合约。知情人士透露，去年Y Combinator旗下有一家新创企业需要120个图形处理器(GPU)，进行为期两个月的模型训练，却找不到合适的租用合约。为此，Y Combinator设立专供旗下新创使用的运算丛集，并于今年7月启用。

专注AI投资的创投公司Radical Ventures，负责人David Katz带领团队追踪GPU供应、价格及合约条件，并协助旗下投资企业媒合算力供应商。过去五年来，Katz已协商数十亿美元规模的算力交易，并与新型云端运算业者保持联系。

他说：「过去大家问的是『我要去哪里找资金？』现在变成『谁能帮我？』这些公司并不缺资金，但真正了解如何建置这些设施的专业知识，却相当稀缺。」

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算力价格飙升，辉达晶片租用年增60%，云端业者要求多年合约、最高30%预付款。
Anthropic、Google、Y Combinator等高层亲自乔算力，甚至为旗下新创预订运算丛集。", "img": "https://cimg.cnyes.cool/prod/news/6627336/l/b852210bbc65a4de423bce126edb78aa.jpg", "content": "<p>人工智慧(AI)算力供不应求，正在改变矽谷的竞争规则，随着算力成为AI开发的关键资源，彼此竞争的科技公司开始合作取得运算能力，创投业者也将晶片资源视为吸引新创公司的重要筹码。</p>\n<p style=\"text-align:center;\"><img src=\"https://cimg.cnyes.cool/prod/news/6627336/l/b852210bbc65a4de423bce126edb78aa.jpg\" alt=\"AI算力荒颠覆矽谷！科技巨头抢破头竞争对手也得联手找资源\" style=\"width:50%;height:auto;border-radius:6px;margin:15px auto;display:block;\"></p>\n\n\n<p>华尔街日报(WSJ)报导，昔日势不两立的竞争对手开始建立新联盟，例如全球首富马斯克与Anthropic执行长阿莫戴(Dario Amodei)旗下公司便曾合作取得算力。</p>\n\n<p>Google(GOOGL-US)则曾在2024年以27亿美元重新聘回AI顶尖研究员Noam Shazeer，但Shazeer因获得的运算资源有限，后来转赴OpenAI。</p>\n\n<p>旧金山算力供应商SF Compute执行长Evan Conrad说：「现在正发生一场大规模淘金热，要完全理解这场竞赛的规模并不容易。」</p>\n\n<p>SF Compute负责评估资料中心，再将其算力出租给AI企业，客户从辉达(NVDA-US)等大型业者到Standard Intelligence等小型新创都有。该公司技术长Eric Park为寻找可用算力，走访美国偏远地区、马尼拉及台北，甚至在一间改建自鸡舍的设施找到伺服器。他也曾在马尼拉遇上洪水，导致车辆抛锚。</p>\n\n<h6>算力价格飙升新创被迫签长约、付高额预付款</h6>\n\n<p>由于既有算力供应商都会要求客户签订多年合约，并提高预付款，部分新创公司因此只能寻找供应不稳定的业者。</p>\n\n<p>加拿大AI新创Cohere共同创办人Nick Frosst表示，目前实际上真正可用的资源很少，许多已宣布的资料中心计划最后遭到取消，或实际规模小于承诺。</p>\n\n<p>开源AI新创Arcee透露，最近因为合作伙伴的资料中心延后完工，而失去一笔交易。</p>\n\n<p>在强劲需求下，算力成本正在攀升。根据数据与顾问公司SemiAnalysis，以一年期合约计算，租用辉达(NVDA-US)晶片的每小时费用较去年同期上涨60%。Alphabet则预估今年资本支出最高可达2000亿美元，其中很大一部分将投入AI基建。</p>\n\n<h6>高层亲自出马乔算力连宿敌也得合作</h6>\n\n<p>即使是最忙碌的AI企业高层，如今也得亲自介入算力谈判。</p>\n\n<p>Anthropic共同创办人Tom Brown今年3月底层前往马斯克旗下的xAI，洽谈租用算力，据悉当时Claude Code大获成功，Anthropic面临算力吃紧及服务频繁中断问题。</p>\n\n<p>Anthropic后来与马斯克的SpaceX(SPCX-US)达成协议，租用超过300MG的算力，而且未来数年合约金额最高可达450亿美元，消息震撼业界。</p>\n\n<p>马斯克过去曾公开批评过Anthropic，但在合作消息公布后，他在X发文表示，自己对Anthropic高层团队的成员印象深刻。</p>\n\n<p>报导说，阿莫戴今年稍早也曾联络Meta(META-US)AI长汪涛(Alexandr Wang)，试图取得更多算力，但Meta经评估后暂不提供。而这些都还不算在Anthropic过去一年宣布的数千亿美元算力交易中。</p>\n\n<p>Google内部同样为有限算力该如何分配而争论不休。知情人士表示，在Google山景城办公室，研究人员对哪些计划应优先取得珍贵的运算资源产生激烈的分歧。共同创办人布林(Sergey Brin)有时会打破正式的算力分配程序，将资源重新分配给他认为重要的计划。</p>\n\n<h6>算力成新创生存关键创投也下场抢资源</h6>\n\n<p>AI热潮初期，大型与小型企业都能向亚马逊网路服务(AWS)等业者租用AI晶片丛集，不必签署多年期合约，也不必支付天价预付款。</p>\n\n<p>但随着顶尖AI实验室大量吸收可用算力，云端供应商开始要求客户签订多年期合约，预付款有时高达合约金额的30%。部分供应商甚至要求新创公司寻找担保人，在企业无力付款时代为履行合约。</p>\n\n<p>对新创公司来说，挑战不只是取得算力，还包括准确预测成长后究竟需要多少算力。为降低取得算力的不确定性，有些企业签下超过实际需求的合约，另一些新创则高估自家AI产品的需求，最终不得不转售多余的算力。</p>\n\n<p>AI助理新创公司Instinct AI上个月募得10亿美元，估值达100亿美元，但面对资金与算力更充裕的Meta、OpenAI，仍可能难以竞争。执行长Noah Shinn正考虑是否提前购入足以支援假设中的1亿名使用者的算力。</p>\n\n<p>创投业者也开始预订运算丛集，再出租给新创公司，或替企业保证算力合约。知情人士透露，去年Y Combinator旗下有一家新创企业需要120个图形处理器(GPU)，进行为期两个月的模型训练，却找不到合适的租用合约。为此，Y Combinator设立专供旗下新创使用的运算丛集，并于今年7月启用。</p>\n\n<p>专注AI投资的创投公司Radical Ventures，负责人David Katz带领团队追踪GPU供应、价格及合约条件，并协助旗下投资企业媒合算力供应商。过去五年来，Katz已协商数十亿美元规模的算力交易，并与新型云端运算业者保持联系。</p>\n\n<p>他说：「过去大家问的是『我要去哪里找资金？』现在变成『谁能帮我？』这些公司并不缺资金，但真正了解如何建置这些设施的专业知识，却相当稀缺。」</p>\n<div class=\"related-articles seo-links\">\n <h4>相关阅读</h4>\n <ul>\n <li><a href=\"/new/mg/article-12967.html\" 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