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399美元机器鸭爆红 黄仁勋砸130亿美元整盘端走!打造AI全生态闭环

2026-09-04 11:18:55 网络 阅读(1)

开源AI生态迎来重大转折。辉达(NVDA-US)周四(3日)宣布同意以129.303亿美元收购开源AI平台Hugging Face,交易包含约119亿美元支付给Hugging Face股东,以及最高约10亿美元的股权型员工留任计划,预计2027年上半年完成,仍须取得监管批准。这将成为辉达有史以来规模最大的收购案之一,也显示这家全球AI晶片龙头正从单纯掌握GPU算力,进一步抢攻开源模型、开发者及AI应用分发生态。

399美元机器鸭爆红 黄仁勋砸130亿美元整盘端走!打造AI全生态闭环

辉达执行长黄仁勋在官方公告中表示,Hugging Face将继续维持开放平台定位,开发者可以自行选择模型、框架、云端及推理服务供应商,也可以选择不同的运算平台,使用Hugging Face建立或部署产品并不强制采用辉达运算资源。辉达并承诺,Hugging Face将继续支援其他晶片供应商。

这项承诺之所以重要,在于Hugging Face的核心价值并不是传统意义上的营收,而是其在开源AI产业中的生态位置。辉达表示,目前已有超过1,800万名开发者、研究人员及创作者使用Hugging Face,平台上托管超过300万个模型、50万个资料集及100万个AI应用程式,另有超过20万家企业利用平台探索、评估、客制化及部署AI。

换句话说,辉达买下的并不是一家单纯的AI软体公司,而是一条连接模型、开发者、资料、应用程式与实际部署环境的开源AI通道。对辉达而言,控制GPU算力固然重要,但随着Google、Meta、微软及其他AI业者积极开发自有晶片与运算基础设施,如何掌握AI开发者从取得模型到实际部署的生态,同样成为维持长期主导地位的重要战场。

这也是这笔交易受到市场高度关注的原因。Hugging Face去年曾拒绝辉达约5亿美元的投资,当时交易估值约70亿美元,公司希望避免单一大型投资者取得过大的影响力,以维持平台中立性。如今辉达直接提出129.303亿美元收购,相较当时估值高出约85%,也让外界重新审视Hugging Face究竟值多少,以及辉达愿意付出如此高价背后真正看重的是什么。

若以Hugging Face约1.5亿美元年化营收计算,129.303亿美元收购价格相当于约86倍市销率。这种估值显然很难单纯用当期营收或获利能力解释。Hugging Face执行长Clément Delangue先前曾表示,公司成长速度已让其接近获利,而辉达如今愿意支付远高于传统软体公司的估值,凸显其看重的更可能是开源AI生态、开发者网路效应以及未来AI工作负载所能带来的战略价值。

这场交易公布的同一周,Hugging Face旗下Pollen Robotics推出的Microduck也成为开源具身AI受到市场关注的另一个象征。Microduck于8月27日开放预购,售价399美元,机身高度25公分,搭载15具马达、摄影机、LiDAR及2组IMU,可执行走路、蹲伏、坐下、捡拾物体、穿轮滑鞋及跌倒后自行起身等动作。官方目前设定的首批出货目标为2026年圣诞节前。

Microduck的核心并不是让一只机器鸭成为高阶AI助理,而是让开发者可以以相对低廉的成本接触强化学习、模拟环境及Sim-to-Real技术。Pollen Robotics表示,Microduck的SDK、模拟器及完整强化学习训练堆叠均以Apache-2.0授权开放,机器人在实体环境中执行的策略,也就是开发者可以在模拟环境中阅读、修改及重新训练的程式。

Microduck的规格也说明,它并不是要与最先进的大型语言模型竞争。这款25公分高的双足机器人重量不到800克,内建7种已训练动作,板载策略回路为50Hz,并具备15具马达、摄影机、LiDAR与2组IMU。Pollen Robotics将其定位为一个让更多人实际学习如何把AI从模拟环境带入实体机器的平台,而不是试图解决所有机器人技术难题。

Microduck推出后需求也相当强劲。公开报导显示,这款399美元机器人在上市后24小时内创造超过260万美元销售额,最初预购不到6小时就突破100万美元,需求大增也使后续订单交货期拉长至约4至6个月。

这并非Hugging Face第一次利用低价硬体将开源AI推向一般使用者。公司此前与Pollen Robotics合作推出Reachy Mini,并逐步建立机器人应用程式生态。Hugging Face今年5月表示,Reachy Mini社群已经发布超过200个应用程式,由150多名创作者开发;当时全球安装量已接近1万台,另有超过1,000台预计在接下来30天出货。

因此,Microduck的意义不完全在于它能做多少事情,而在于它把原本主要存在于大学实验室及机器人新创公司的强化学习硬体,进一步变成399美元就能购买的消费级开发平台。使用者可以先在浏览器中的物理模拟环境训练机器人,再将策略移植到实体机器上,降低进入具身AI领域的门槛。

Hugging Face在机器人领域的布局,与辉达近年的AI战略也开始产生交集。辉达早已不再只是销售GPU,而是透过CUDA软体生态、Nemotron开放模型、AI推理服务及机器人相关平台,试图掌握从训练到部署的完整AI基础设施。近期辉达也与AI程式开发新创Poolside达成一项价值约60亿美元的交易,取得其Model Factory软体的非独家授权,同时投资10亿美元。

如果把这些交易放在一起观察,可以看到辉达正在建立一个与传统晶片供应商截然不同的商业模式。GPU提供最底层的算力,CUDA负责开发工具与软体生态,Nemotron等开放模型提供AI能力,而Hugging Face则掌握大量开发者、模型、资料集及应用程式。这种布局的目标并非每一个环节都直接产生巨额收入,而是让更多AI工作负载最终建立在辉达的运算生态周围。

Hugging Face本身也早已不只是模型下载网站。如今平台涵盖模型、资料集、应用程式、推理服务及机器人开发工具,成为开源AI从研究、实验一路走向商业部署的重要基础设施。辉达官方公布的数据显示,超过20万家企业已使用Hugging Face,这使平台具备非常强的企业级分发能力。

而这种开发者入口的价值,正随着开源模型快速普及而上升。Meta Platforms (META-US)、Google母公司Alphabet (GOOGL-US)、DeepSeek及中国的阿里巴巴、腾讯等公司推出的模型,都需要开发者生态来扩大影响力。对辉达而言,若能成为这些模型与应用程式共同使用的基础平台,就能降低AI产业对单一模型公司的依赖,同时增加GPU与AI基础设施的长期需求。

黄仁勋也将开源模型视为AI产业的重要力量。他表示,开放模型能够扩大AI的使用范围,让开发者、新创公司、大学、企业及国家都能利用AI进行建构与客制化。这与辉达近年积极推动开放权重模型的策略一致,也反映公司试图将AI市场从少数封闭模型供应商主导的市场,推向更分散的开发者生态。

不过,这笔收购也不可避免地引发平台中立性的疑问。Hugging Face之所以能吸引如此庞大的开发者群体,部分原因正是它允许不同模型、云端服务、框架及晶片平台共存。如果平台由全球最大的AI晶片供应商控制,开发者是否仍然相信它会公平对待AMD、Google及其他AI加速器供应商,将成为交易完成后的重要考验。

辉达目前试图先消除这项疑虑。公司正式承诺Hugging Face维持开放平台,支援不同晶片及运算平台,开发者也不需要使用辉达GPU才能在平台上建立或部署产品。这项承诺不只是公关表态,也将成为辉达维持Hugging Face开发者社群价值的关键。因为一旦开发者认为平台已经变成单一硬体供应商的销售渠道,Hugging Face最珍贵的中立性就可能受到损害。

交易规模也反映辉达对这项战略的重视。根据美国证券交易委员会(SEC)文件,交易支付给Hugging Face股东的金额约为119亿美元,另有最高约10亿美元的股权型员工留任计划,交易预计在2027年上半年完成。

这也意味着,辉达并不是单纯买下一个网站,而是在买一个AI时代的开发者网路。Hugging Face目前拥有超过1,800万名开发者、研究人员及创作者,平台托管逾300万个模型、50万个资料集及100万个应用程式。只要AI模型数量持续增加、企业部署需求持续扩大,这个网路效应的价值就可能进一步上升。

Microduck则提供了另一个值得注意的讯号。399美元的机器人不可能在功能上与高阶人形机器人相提并论,但它让开发者第一次可以用相对低的成本购买一个能够实际走动、跌倒、重新站起来并接受强化学习训练的实体平台。当硬体成本下降、模拟器开放、训练工具开源后,更多开发者就有机会进入具身AI领域。

这与过去开源软体及开源模型降低AI开发门槛的逻辑相似。当模型不再只能由大型科技公司训练,当硬体也不再只存在于昂贵的研究实验室,创新就可能从少数企业向更广泛的开发者社群扩散。

因此,Microduck与辉达收购Hugging Face看似是两件完全不同的事情,实际上却指向同一个方向:AI正在从数位世界向物理世界延伸。前者让开发者以399美元将强化学习带进桌面,后者则让辉达直接掌握全球最大的开源AI开发者平台之一。

辉达真正想买的显然不是一只399美元的机器鸭,也不是Hugging Face目前约1.5亿美元的年化营收,而是AI产业下一阶段的入口。

当AI竞争从大型语言模型延伸至AI Agent、机器人、边缘运算及具身智能,谁能掌握开发者如何取得模型、训练模型、部署模型及将模型放进实体机器的整条链条,可能比单纯拥有最快的GPU更重要。

这也解释了为什么一笔129.303亿美元的收购案,会与一只399美元的机器鸭在同一时间成为市场焦点。Microduck正在证明开源AI可以走出萤幕,而辉达则试图确保,当AI真正进入物理世界时,开发者仍然会在它所建立的生态中工作。

交易最终能否保留Hugging Face的中立性、开源社群是否接受辉达成为新东家,以及开源具身AI能否从极客玩具进一步走向真正具有商业价值的机器人产品,仍有待时间验证。但可以确定的是,辉达这次花费超过129亿美元买下的,已不只是AI模型的聚集地,而是一个可能决定下一代AI如何被建构、分享与部署的关键入口。

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      "name": "外汇平台排名",
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      "pid": 10,
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          "pid": 34,
          "name": "保险入门",
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      "level": 1
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      "pid": 10,
      "name": "贵金属",
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          "name": "贵金属入门",
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          "id": 50,
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      "level": 1
    },
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      "id": 36,
      "pid": 10,
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    "title": "399美元机器鸭爆红 黄仁勋砸130亿美元整盘端走!打造AI全生态闭环",
    "shortTitle": "399美元机器鸭爆红 黄仁勋砸130亿美元整盘端走!打造AI",
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    "description": "辉达宣布以129.303亿美元收购开源AI平台Hugging Face,掌握逾1,800万名开发者及300万个模型。就在交易前夕,Hugging Face旗下399美元机器鸭爆红,开源AI正加速从萤幕走向物理世界。",
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    "content": "<p>开源AI生态迎来重大转折。辉达(NVDA-US)周四(3日)宣布同意以129.303亿美元收购开源AI平台Hugging Face,交易包含约119亿美元支付给Hugging Face股东,以及最高约10亿美元的股权型员工留任计划,预计2027年上半年完成,仍须取得监管批准。这将成为辉达有史以来规模最大的收购案之一,也显示这家全球AI晶片龙头正从单纯掌握GPU算力,进一步抢攻开源模型、开发者及AI应用分发生态。</p>\n<p style=\"text-align:center;\"><img src=\"https://cimg.cnyes.cool/prod/news/6597150/l/cc3c55324316329d53694c5e1a48cb4a.jpg\" alt=\"399美元机器鸭爆红 黄仁勋砸130亿美元整盘端走!打造AI全生态闭环\" style=\"width:50%;height:auto;border-radius:6px;margin:15px auto;display:block;\"></p>\n\n\n<p>辉达执行长黄仁勋在官方公告中表示,Hugging Face将继续维持开放平台定位,开发者可以自行选择模型、框架、云端及推理服务供应商,也可以选择不同的运算平台,使用Hugging Face建立或部署产品并不强制采用辉达运算资源。辉达并承诺,Hugging Face将继续支援其他晶片供应商。</p>\n\n<p>这项承诺之所以重要,在于Hugging Face的核心价值并不是传统意义上的营收,而是其在开源AI产业中的生态位置。辉达表示,目前已有超过1,800万名开发者、研究人员及创作者使用Hugging Face,平台上托管超过300万个模型、50万个资料集及100万个AI应用程式,另有超过20万家企业利用平台探索、评估、客制化及部署AI。</p>\n\n<p>换句话说,辉达买下的并不是一家单纯的AI软体公司,而是一条连接模型、开发者、资料、应用程式与实际部署环境的开源AI通道。对辉达而言,控制GPU算力固然重要,但随着Google、Meta、微软及其他AI业者积极开发自有晶片与运算基础设施,如何掌握AI开发者从取得模型到实际部署的生态,同样成为维持长期主导地位的重要战场。</p>\n\n<p>这也是这笔交易受到市场高度关注的原因。Hugging Face去年曾拒绝辉达约5亿美元的投资,当时交易估值约70亿美元,公司希望避免单一大型投资者取得过大的影响力,以维持平台中立性。如今辉达直接提出129.303亿美元收购,相较当时估值高出约85%,也让外界重新审视Hugging Face究竟值多少,以及辉达愿意付出如此高价背后真正看重的是什么。</p>\n\n<p>若以Hugging Face约1.5亿美元年化营收计算,129.303亿美元收购价格相当于约86倍市销率。这种估值显然很难单纯用当期营收或获利能力解释。Hugging Face执行长Cl&eacute;ment Delangue先前曾表示,公司成长速度已让其接近获利,而辉达如今愿意支付远高于传统软体公司的估值,凸显其看重的更可能是开源AI生态、开发者网路效应以及未来AI工作负载所能带来的战略价值。</p>\n\n<p>这场交易公布的同一周,Hugging Face旗下Pollen Robotics推出的Microduck也成为开源具身AI受到市场关注的另一个象征。Microduck于8月27日开放预购,售价399美元,机身高度25公分,搭载15具马达、摄影机、LiDAR及2组IMU,可执行走路、蹲伏、坐下、捡拾物体、穿轮滑鞋及跌倒后自行起身等动作。官方目前设定的首批出货目标为2026年圣诞节前。</p>\n\n<p>Microduck的核心并不是让一只机器鸭成为高阶AI助理,而是让开发者可以以相对低廉的成本接触强化学习、模拟环境及Sim-to-Real技术。Pollen Robotics表示,Microduck的SDK、模拟器及完整强化学习训练堆叠均以Apache-2.0授权开放,机器人在实体环境中执行的策略,也就是开发者可以在模拟环境中阅读、修改及重新训练的程式。</p>\n\n<p>Microduck的规格也说明,它并不是要与最先进的大型语言模型竞争。这款25公分高的双足机器人重量不到800克,内建7种已训练动作,板载策略回路为50Hz,并具备15具马达、摄影机、LiDAR与2组IMU。Pollen Robotics将其定位为一个让更多人实际学习如何把AI从模拟环境带入实体机器的平台,而不是试图解决所有机器人技术难题。</p>\n\n<p>Microduck推出后需求也相当强劲。公开报导显示,这款399美元机器人在上市后24小时内创造超过260万美元销售额,最初预购不到6小时就突破100万美元,需求大增也使后续订单交货期拉长至约4至6个月。</p>\n\n<p>这并非Hugging Face第一次利用低价硬体将开源AI推向一般使用者。公司此前与Pollen Robotics合作推出Reachy Mini,并逐步建立机器人应用程式生态。Hugging Face今年5月表示,Reachy Mini社群已经发布超过200个应用程式,由150多名创作者开发;当时全球安装量已接近1万台,另有超过1,000台预计在接下来30天出货。</p>\n\n<p>因此,Microduck的意义不完全在于它能做多少事情,而在于它把原本主要存在于大学实验室及机器人新创公司的强化学习硬体,进一步变成399美元就能购买的消费级开发平台。使用者可以先在浏览器中的物理模拟环境训练机器人,再将策略移植到实体机器上,降低进入具身AI领域的门槛。</p>\n\n<p>Hugging Face在机器人领域的布局,与辉达近年的AI战略也开始产生交集。辉达早已不再只是销售GPU,而是透过CUDA软体生态、Nemotron开放模型、AI推理服务及机器人相关平台,试图掌握从训练到部署的完整AI基础设施。近期辉达也与AI程式开发新创Poolside达成一项价值约60亿美元的交易,取得其Model Factory软体的非独家授权,同时投资10亿美元。</p>\n\n<p>如果把这些交易放在一起观察,可以看到辉达正在建立一个与传统晶片供应商截然不同的商业模式。GPU提供最底层的算力,CUDA负责开发工具与软体生态,Nemotron等开放模型提供AI能力,而Hugging Face则掌握大量开发者、模型、资料集及应用程式。这种布局的目标并非每一个环节都直接产生巨额收入,而是让更多AI工作负载最终建立在辉达的运算生态周围。</p>\n\n<p>Hugging Face本身也早已不只是模型下载网站。如今平台涵盖模型、资料集、应用程式、推理服务及机器人开发工具,成为开源AI从研究、实验一路走向商业部署的重要基础设施。辉达官方公布的数据显示,超过20万家企业已使用Hugging Face,这使平台具备非常强的企业级分发能力。</p>\n\n<p>而这种开发者入口的价值,正随着开源模型快速普及而上升。Meta Platforms (META-US)、Google母公司Alphabet (GOOGL-US)、DeepSeek及中国的阿里巴巴、腾讯等公司推出的模型,都需要开发者生态来扩大影响力。对辉达而言,若能成为这些模型与应用程式共同使用的基础平台,就能降低AI产业对单一模型公司的依赖,同时增加GPU与AI基础设施的长期需求。</p>\n\n<p>黄仁勋也将开源模型视为AI产业的重要力量。他表示,开放模型能够扩大AI的使用范围,让开发者、新创公司、大学、企业及国家都能利用AI进行建构与客制化。这与辉达近年积极推动开放权重模型的策略一致,也反映公司试图将AI市场从少数封闭模型供应商主导的市场,推向更分散的开发者生态。</p>\n\n<p>不过,这笔收购也不可避免地引发平台中立性的疑问。Hugging Face之所以能吸引如此庞大的开发者群体,部分原因正是它允许不同模型、云端服务、框架及晶片平台共存。如果平台由全球最大的AI晶片供应商控制,开发者是否仍然相信它会公平对待AMD、Google及其他AI加速器供应商,将成为交易完成后的重要考验。</p>\n\n<p>辉达目前试图先消除这项疑虑。公司正式承诺Hugging Face维持开放平台,支援不同晶片及运算平台,开发者也不需要使用辉达GPU才能在平台上建立或部署产品。这项承诺不只是公关表态,也将成为辉达维持Hugging Face开发者社群价值的关键。因为一旦开发者认为平台已经变成单一硬体供应商的销售渠道,Hugging Face最珍贵的中立性就可能受到损害。</p>\n\n<p>交易规模也反映辉达对这项战略的重视。根据美国证券交易委员会(SEC)文件,交易支付给Hugging Face股东的金额约为119亿美元,另有最高约10亿美元的股权型员工留任计划,交易预计在2027年上半年完成。</p>\n\n<p>这也意味着,辉达并不是单纯买下一个网站,而是在买一个AI时代的开发者网路。Hugging Face目前拥有超过1,800万名开发者、研究人员及创作者,平台托管逾300万个模型、50万个资料集及100万个应用程式。只要AI模型数量持续增加、企业部署需求持续扩大,这个网路效应的价值就可能进一步上升。</p>\n\n<p>Microduck则提供了另一个值得注意的讯号。399美元的机器人不可能在功能上与高阶人形机器人相提并论,但它让开发者第一次可以用相对低的成本购买一个能够实际走动、跌倒、重新站起来并接受强化学习训练的实体平台。当硬体成本下降、模拟器开放、训练工具开源后,更多开发者就有机会进入具身AI领域。</p>\n\n<p>这与过去开源软体及开源模型降低AI开发门槛的逻辑相似。当模型不再只能由大型科技公司训练,当硬体也不再只存在于昂贵的研究实验室,创新就可能从少数企业向更广泛的开发者社群扩散。</p>\n\n<p>因此,Microduck与辉达收购Hugging Face看似是两件完全不同的事情,实际上却指向同一个方向:AI正在从数位世界向物理世界延伸。前者让开发者以399美元将强化学习带进桌面,后者则让辉达直接掌握全球最大的开源AI开发者平台之一。</p>\n\n<p>辉达真正想买的显然不是一只399美元的机器鸭,也不是Hugging Face目前约1.5亿美元的年化营收,而是AI产业下一阶段的入口。</p>\n\n<p>当AI竞争从大型语言模型延伸至AI Agent、机器人、边缘运算及具身智能,谁能掌握开发者如何取得模型、训练模型、部署模型及将模型放进实体机器的整条链条,可能比单纯拥有最快的GPU更重要。</p>\n\n<p>这也解释了为什么一笔129.303亿美元的收购案,会与一只399美元的机器鸭在同一时间成为市场焦点。Microduck正在证明开源AI可以走出萤幕,而辉达则试图确保,当AI真正进入物理世界时,开发者仍然会在它所建立的生态中工作。</p>\n\n<p>交易最终能否保留Hugging Face的中立性、开源社群是否接受辉达成为新东家,以及开源具身AI能否从极客玩具进一步走向真正具有商业价值的机器人产品,仍有待时间验证。但可以确定的是,辉达这次花费超过129亿美元买下的,已不只是AI模型的聚集地,而是一个可能决定下一代AI如何被建构、分享与部署的关键入口。</p>\n\n<p> </p><div class=\"related-articles seo-links\">\n  <h4>相关阅读</h4>\n  <ul>\n    <li><a href=\"/new/AI/article-3663.html\" title=\"美光财报报喜!韩国股市早盘涨幅扩大至6% 日股触及7万点\">美光财报报喜!韩国股市早盘涨幅扩大至6% 日股触及7万点</a></li>\n    <li><a href=\"/new/AI/article-89.html\" title=\"〈新股IPO〉辉达要紧张了?AI晶片新秀Cerebras挂牌首日飙近9成\">〈新股IPO〉辉达要紧张了?AI晶片新秀Cerebras挂牌首日飙近9成</a></li>\n    <li><a href=\"/new/AI/article-13704.html\" title=\"上市第11个交易日 中国「人形机器人第一股」股价腰斩\">上市第11个交易日 中国「人形机器人第一股」股价腰斩</a></li>\n    <li><a href=\"/new/AI/article-1833.html\" title=\"苹果XR战略转弯!郭明?:Vision Pro后续版本遭砍、AI眼镜成新重心\">苹果XR战略转弯!郭明?:Vision Pro后续版本遭砍、AI眼镜成新重心</a></li>\n    <li><a 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