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"title": "〈辉达股东会〉黄仁勋:AI投资报酬已有答案「有用的AI」正式进入获利时代",
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"description": "辉达周三 (24 日) 举行年度股东大会。AI 产业领军人物黄仁勋在股东大会上表示,关于 AI 投资回报率的问题「已有答案」。",
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"content": "<p>辉达 (NVDA-US) 周三 (24 日) 举行年度股东大会。AI 产业领军人物黄仁勋在股东大会上表示,关于 AI 投资回报率的问题「已有答案」。</p>\n<p style=\"text-align:center;\"><img src=\"https://cimg.cnyes.cool/prod/news/6511320/l/99e3c3c852f9e64e53d7947403c35e80.jpg\" alt=\"〈辉达股东会〉黄仁勋:AI投资报酬已有答案「有用的AI」正式进入获利时代\" style=\"width:50%;height:auto;border-radius:6px;margin:15px auto;display:block;\"></p>\n\n\n<p>在业务更新中,黄仁勋反复强调,AI 数据中心是「token」的工厂,词元可以变成代码、答案、设计、行动和服务,因此每个 token 都是利润单位。</p>\n\n<p>这里面也包含他整场最有市场情绪的一句话:有用的 AI 已经到来,并且已经能够赚钱。</p>\n\n<p>黄仁勋同时强调,辉达系统可能不是采购价格最低的,但能产生最低成本的词元和最高的词元吞吐量——以及最高的收入。</p>\n\n<p>换句话说,辉达的客户购买的不是一堆服务器,而是在建设能够产生收入的 AI 工厂。</p>\n\n<p>这逻辑也支撑了辉达惊人的财务表现。公司全年营收增长 65% 至 2160 亿美元,营业收入增长 60% 至 1300 亿美元,经营现金流达到 1030 亿美元,并向股东返还 410 亿美元。其中,数据中心收入增长 68% 至 1940 亿美元。</p>\n\n<p>作为辉达下一阶段的增长引擎,Vera Rubin 架构现在已经进入全面量产阶段。</p>\n\n<p>黄仁勋称,Hopper 为预训练而生,Blackwell 把推理带到机架规模,而 Vera Rubin 是为智慧体打造的。代理 AI 需要不断思考、访问数据库、调用工具、执行代码,如果 CPU 跟不上,GPU 就会闲置;而在 AI 工厂里,GPU 闲置就意味着收入损失。</p>\n\n<p>除了 AI 工厂,黄仁勋还把「物理 AI」称为下一波增长浪潮。他认为,机器人、汽车和工厂将成为现实世界中的智慧体,能够感知、推理、规划并自主行动。辉达将通过 AI 工厂训练模型,用 Omniverse 进行仿真,再通过 Jetson 等计算平台让模型运行在机器人和设备上。</p>\n\n<p>黄仁勋也对长期增速和 ASIC 冲击表达了乐观态度,强调「这轮建设将以数十年为尺度来衡量」,而且辉达的基础设施能够提供「最佳推理经济性」。</p>\n\n<p>在股东回报方面,黄仁勋表示,计划在今年、明年以及未来,把 50% 或更多自由现金流返还给股东。</p>\n\n<p>年度股东大会投票整体波澜不惊。股东以咨询性投票形式批准了公司的高管薪酬方案,并批准全部 10 名董事会成员连任。另有一项外部股东提案获得通过,该提案要求修改公司章程,使所有股东投票事项均可通过简单多数表决通过。</p>\n\n<p><em><strong>以下为辉达股东大会黄仁勋业务更新 Business Update 和问答环节实录:</strong></em></p>\n\n<p>对辉达和整个计算行业来说,这都是非同寻常的一年。每隔 10 到 15 年,计算机行业就会经历一次重置:从大型机到 PC,从 PC 到互联网,从互联网到云,再从云到移动云。而这一次重置更大。</p>\n\n<p>过去 60 年,人类编写软体,电脑执行指令。这个范式已经改变。借助 AI,电脑能够理解、推理、规划、使用工具,并完成有用的工作。电脑不再只是一个工具。在 AI 时代,它是一个会使用工具的助手。由此延伸,资料中心也不再只是一个「工具棚」,而是一个由数字助手组成的 AI 工厂,是生产数字智慧的基础设施。</p>\n\n<p>辉达正在为这个新时代建设计算基础设施。</p>\n\n<p>两年前,生成式 AI 吸引了全世界的注意。ChatGPT 可以写作、绘图、总结并回答问题。随后,推理型 AI 学会了思考问题。现在,代理 AI 已经到来。智慧体可以使用工具、访问记忆、编写代码、调用其他智慧体、测试结果,并持续工作,直到任务完成。</p>\n\n<p>软体编程是企业端第一个重大突破性应用场景。这一点很重要:AI 现在已经有用了。当 AI 能完成有用工作时,token 就变得有价值;当 token 能够带来利润时,对算力的需求就会加速。</p>\n\n<p>看看证据。GitHub 开发者在 2023 年合并了 3 亿个 pull request(合并请求),2024 年为 4 亿个,2025 年达到 5 亿个,呈现出清晰而稳定的上升趋势。但在 2026 年前几个月,这一速度几乎增加了两倍。显然,这意味着全球约 3000 万名软件开发者——他们每年获得大约 3 万亿美元薪酬,他们的工作支撑着全球 100 万亿美元的经济活动——正在被 AI 放大。借助智慧体,同样这批劳动力现在正在创造接近 9 万亿美元的产出,增加了 6 万亿美元。</p>\n\n<p>编程只是需求驱动因素之一。有用的 AI 已经到来。AI 的投资回报率问题已经有了答案,各行各业都在竞相采用智慧体 AI。</p>\n\n<p>辉达营收增长 65%,达到 2160 亿美元。营业收入增长 60%,达到 1300 亿美元。摊薄后每股收益增长 67%,达到 4.90 美元。我们产生了 1030 亿美元经营现金流,并向股东返还了 410 亿美元。</p>\n\n<p>资料中心收入达到 1940 亿美元,增长 68%。Blackwell 显著扩大了辉达基础设施在不同客户群中的覆盖,包括超大规模云厂商、云服务商、AI 实验室、工业企业以及主权客户。模型开发商和超大规模云厂商都已经累计部署了数十万颗 Blackwell GPU。AI 工厂建设仍在各主要行业迅速扩张。Capital One、现代汽车集团、Jane Street 和礼来等公司,正在扩展辉达基础设施以部署 AI。</p>\n\n<p>国际收入增长超过三倍,超过 300 亿美元。近 40 个国家 / 地区、合计代表 50 万亿美元 GDP,正在建设由辉达基础设施驱动的 AI 工厂。</p>\n\n<p>AI 基础设施不再是实验性的,它已经进入生产阶段。AI 不仅仅是一个模型,它是一个新的产业。你可以把它想象成一个五层蛋糕:能源、晶片和系统、基础设施、模型以及应用。</p>\n\n<p>传统资料中心记忆体并提供文件服务。AI 工厂则制造 token。token 会变成代码、答案、设计、行动和服务。</p>\n\n<p>有用的 AI 是盈利的。每个 token 都是一个利润单位,这正是算力需求极其旺盛的原因。客户买的不是计算机,他们是在建设能够产生收入的 AI 工厂。</p>\n\n<p>AI 工厂的架构非常重要。问题在于,这座工厂能够产生多少收入,以及成本是多少。推理就是生成 token 的过程,而辉达 Blackwell 树立了标准。在 SemiAnalysis 的 InferenceX 基准测试中,Blackwell 被认定为「推理之王」,能够提供最低的单 token 成本,并实现比第二名平台高出 30 倍的 token 吞吐量。</p>\n\n<p>这就是架构如此关键的原因。辉达系统也许不是采购价格最低的,但辉达能够生成成本最低的 token、最高的 token 吞吐量,以及最高的收入。</p>\n\n<p>Vera Rubin 是下一步。Hopper 是为预训练打造的。Blackwell 把推理带到了机架规模。Vera Rubin 则是为智慧体打造的。</p>\n\n<p>代理 AI 改变了计算模式。代理 AI 会思考、使用工具、访问数据库、检索记忆、执行代码,并反复调用应用,直到任务完成。运行在 GPU 上的大语言模型负责思考,而 CPU 必须跟上。如果 CPU 成为瓶颈,GPU 就会闲置。而在 AI 工厂里,GPU 闲置就意味着收入损失。</p>\n\n<p>这就是 Vera 重要的原因。Vera 是面 AI 代理的 CPU,Rubin 是负责思考的 GPU。NVLink、Spectrum-X、BlueField 上的记忆体与安全能力,以及软体,共同把这些系统连接在一起。</p>\n\n<p>事实上,辉达是唯一一家拥有三项网络业务的公司。NVLink 把一个机架中的 GPU 连接成一台巨型计算机。Spectrum-X 是为 AI 打造的以太网,它能够在 AI 工厂内外进行横向扩展,现在其规模已经超过所有其他以太网网络同行的总和。InfiniBand 则为全球最大的 AI 和科学计算系统提供最低延迟网络。</p>\n\n<p>这些技术结合起来,使 AI 工厂能够从 GPU 到机架、从资料中心内部到跨数据中心进行整体优化。</p>\n\n<p>Vera Rubin 不是一颗晶片,而是一个 AI 工厂平台,而且生态系统已经开始行动。Vera Rubin 已经全面投产。每一家主要模型开发商、公共云、AI 云和超大规模云厂商,都在准备基于它进行建设。</p>\n\n<p>Vera 打开了一个全新的市场。到目前为止,每一颗 CPU 都是为人类打造的。我们生活在以秒为单位衡量的世界里。代理 AI 生活在以纳秒为单位衡量的世界里。CPU 让代理 AI 等待的每一刻,都是整栋建筑里最昂贵的东西——GPU——处于闲置状态的一刻。</p>\n\n<p>因此,我们从零开始打造了一颗全新的、面向智慧体的 CPU。这是一个新市场。为人类服务的 CPU,是按核心切分和出租的。智慧体不是租用核心,而是要求超快响应。未来会有数十亿个代理 AI,它们需要为自己而打造的 CPU。</p>\n\n<p>我们相信,Vera 将成为公司历史上最重要的产品发布之一,而订单已经开始到来。</p>\n\n<p>CUDA 是我们有史以来最重要的投资之一。20 年来,我们一直致力于同个加速计算架构。装机基础吸引开发者,开发者创造突破性应用,应用创造新市场,新市场又扩大装机基础。这个飞轮正在加速。</p>\n\n<p>CUDA-X 是构建在 CUDA 之上的库栈。这些库是辉达的皇冠明珠。它们解决了科学和工业领域一些最困难的问题,包括计算光刻、优化、基因组学、物理、数据处理、机器人、AI、无线网络等等。</p>\n\n<p>现在,这些库正在成为智慧体的工具。本周我们宣布了 BioNeMo,这是一套面向智慧体的数字生物学和药物发现工具。</p>\n\n<p>辉达是垂直整合的,也是横向开放的。我们构建完整技术栈,从而能够对系统进行端到端优化。然后我们将其开放,让整个行业都能在其之上建设。</p>\n\n<p>我们的业务很广,而且正在变得更加多元化。为了让大家更容易理解我们的业务,我们现在用两个市场平台来描述辉达:资料中心和边缘计算。</p>\n\n<p>在资料中心领域,我们服务两个市场:超大规模资料中心,以及 AI 云、工业和企业市场。我们的客户基础多元且不断增长。</p>\n\n<p>边缘计算包括 PC、工作站、游戏、AI 基站、机器人和汽车。我们能够服务所有这些市场,是因为我们拥有一个统一架构、一个软件栈,以及一个丰富的生态系统。</p>\n\n<p>物理 AI 是辉达的下一波增长浪潮。物理 AI 就是现实世界中的代理 AI。机器人、汽车和工厂将能够感知、推理、规划,并在动态环境中运行。</p>\n\n<p>辉达开创了这一领域,并构建了完整闭环。AI 工厂训练模型;Omniverse 在虚拟世界中对其进行仿真;辉达 Jetson 计算机在机器人中运行;Cosmos 则是驱动这一切的世界基础模型。</p>\n\n<p>机器人和机器人系统正在各个行业被打造出来,从交通、制造、手术机器人,到酒店和服务业。</p>\n\n<p>过去几个月,AI 出现了巨大的加速。最后我想强调几点:有用的 AI 已经到来,而且它是盈利的。因此,算力就是收入。Vera Rubin 已经全面投产。Vera 正在打开一个全新的、为代理 AI 打造的 CPU 市场。每一家企业都正在成为智慧体公司,而它们都运行在辉达之上。</p>\n\n<p>AI 时代正在全速前进,辉达正在建设驱动这一时代的基础设施。</p>\n\n<p>随着我们的成长,我们将继续扩大研发投入,投资我们的生态系统,并向股东返还资本。我们最近宣布大幅提高股息,并扩大股票回购计划。我们计划在今年、明年以及未来,把 50% 或更多自由现金流返还给股东。</p>\n\n<p><em><strong>Q&A 重点实录</strong></em></p>\n\n<p>问题:当前 AI 基础设施建设的可持续性如何?你们业务的主要驱动因素会在什么时候成熟,增长又会在什么时候放缓?</p>\n\n<p>黄仁勋:正如我在演讲中提到的,AI 不只是一个模型。它代表着计算领域的一次根本性转变。60 年来,计算主要是在检索、记忆体和发送信息;而现在,计算正在被 AI 重新发明,变成生成智慧。</p>\n\n<p>Token 是智慧的基本单位。它们在一种新型数据中心——AI 工厂——中被制造出来,并通过商业化产生收入。算力越多,token 越多,收入也就越多。</p>\n\n<p>这轮建设将以数十年为尺度来衡量,类似于电网、交通系统和互联网等其他关键基础设施建设。我们相信,这将成为人类历史上规模最大的基础设施建设。</p>\n\n<p>代理 AI 正在加速基础设施投资,因为这是 AI 第一次真正开始做实际工作,并创造真实的经济价值。随着各类组织寻求大规模制造智慧,对 AI 工厂的需求将远远超出今天的云计算,延伸到企业、主权国家以及区域性 AI 云。</p>\n\n<p>辉达凭借全栈、端到端协同设计的基础设施,以及支持这些项目的大型合作伙伴生态,能够以独特方式推动 AI 工厂建设。</p>\n\n<p>下一个主要增长阶段是物理 AI,而这才刚刚开始。随着时间推移,AI 将从数字世界进入机器人出租车、人形机器人和工业系统,使这些机器能够在物理世界中感知、推理,并以自主性采取行动。</p>\n\n<p>驱动物理 AI 需要新一轮基础设施投资。在这一领域,辉达提供 AI 基础设施、Omniverse 仿真和数字孪生平台、开放模型、Jetson Thor 嵌入式计算平台,以及用于大规模开发和部署物理 AI 的软件栈。</p>\n\n<p>我们前方还有很长的增长跑道。</p>\n\n<p>问题:辉达 GPU 目前支撑着全球大多数人工智慧训练基础设施,但随着推理工作负载超过训练,辉达有多大信心认为 GPU 架构仍将是大规模推理的首选平台?</p>\n\n<p>黄仁勋:辉达确实非常擅长训练。而凭借 Blackwell,我们也确立了在推理领域的领先地位。</p>\n\n<p>推理正在让 AI 实现商业变现。由于数据中心受到电力限制,其 token 吞吐量和收入潜力取决于 AI 基础设施的每瓦性能。</p>\n\n<p>在 SemiAnalysis 的 Inference-X 基准测试中,Blackwell 被称为「推理之王」,实现了最佳每瓦性能、最低 token 成本,以及高出 30 倍的 token 吞吐量。</p>\n\n<p>在最新一轮 MLPerf 推理基准测试中,我们取得了连续第七次胜利。对于 AI 智慧体,Artificial Analysis 的 New Agent Perf 结果显示,与 Hopper 相比,Grace Blackwell 300 NVLink 72 系统在每兆瓦功耗下可运行的智慧体数量最多提升 20 倍。</p>\n\n<p>这种优越性能,是辉达在晶片、系统、算法和软件层面进行极致协同设计的结果。辉达 AI 基础设施提供最佳性能,因此也提供最佳推理经济性。</p>\n\n<p>但我们的优势不只在于领先性能。我们庞大的装机基础让开发者能够触达最多 AI 用户。辉达可编程 GPU 架构运行超过 7000 个应用,为云客户带来最大的收入机会,以及融资和承购方面的潜力。</p>\n\n<p>对于企业和主权客户,辉达提供无可比拟的部署灵活性、最广泛地用于定制 AI 的领先开源模型,以及业内最深入的 IT 生态支持。</p>\n\n<p>如今,辉达绝大多数计算足迹都用于推理。我们处于有利位置,有望进一步扩大份额,最近我们与 Anthropic 和苹果的公告也证明了这一点。</p>\n\n<p>问题:能否更新一下资本报酬政策?在股息和股票回购方面,投资者应该期待什么?</p>\n\n<p>黄仁勋:辉达为投资人提供一种独特组合:卓越增长、强劲利润率、自由现金流执行能力,以及不断上升的资本报酬。</p>\n\n<p>在最近一次财报电话会上,我们宣布季度股息提高 25 倍,并额外授权 800 亿美元股票回购。</p>\n\n<p>基于我们对可持续市场增长和自由现金流生成能力的信心,我们计划在今年、明年以及更长期内,向股东返还 50% 或更多自由现金流,并随着时间推移继续提高股票回购和股息。</p>\n<div class=\"related-articles seo-links\">\n <h4>相关阅读</h4>\n <ul>\n <li><a href=\"/new/mg/article-1979.html\" title=\"辉达终于拿下苹果AI客户 为何股价仍跌?\">辉达终于拿下苹果AI客户 为何股价仍跌?</a></li>\n <li><a href=\"/new/mg/article-16424.html\" title=\"油价破百、联准会升息、10年债殖利率逼近5% 美股仍押注TACO交易\">油价破百、联准会升息、10年债殖利率逼近5% 美股仍押注TACO交易</a></li>\n <li><a href=\"/new/mg/article-13101.html\" title=\"利率3.75%还不够高!Fed施密德直言政策仍偏宽松\">利率3.75%还不够高!Fed施密德直言政策仍偏宽松</a></li>\n <li><a href=\"/new/mg/article-2547.html\" title=\"Fed 7月升息风险升!华许鹰派发言使交易员涌入美债期货、交易量飙升创纪录\">Fed 7月升息风险升!华许鹰派发言使交易员涌入美债期货、交易量飙升创纪录</a></li>\n <li><a href=\"/new/mg/article-341.html\" title=\"关税退款逼近1490亿美元 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