AI小二 | 黄仁勋定调“算力即收入”，英伟达Q4营收再创新高_老虎社区_美港股上老虎

AI小二 | 黄仁勋定调“算力即收入”，英伟达Q4营收再创新高

朝阳永续02-26

财报数据显示，公司第四季度单季总营收达到681亿美元，环比增长20%，同比增长73%，创季度营收历史新高。在整个2026财年，英伟达全年总营收达2159亿美元，同比增幅达到65%。在盈利能力方面，第四季度GAAP毛利率和非GAAP毛利率分别为75.0%和75.2%，略高于此前预期。同时，公司第四季度净利润高达429.6亿美元，同比增长94%。在随后的电话会上，英伟达创始人兼CEO黄仁勋明确提出了“...

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href=http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260226192608a722400b&s=b><strong>朝阳永续</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>财报数据显示，公司第四季度单季总营收达到681亿美元，环比增长20%，同比增长73%，创季度营收历史新高。在整个2026财年，英伟达全年总营收达2159亿美元，同比增幅达到65%。在盈利能力方面，第四季度GAAP毛利率和非GAAP毛利率分别为75.0%和75.2%，略高于此前预期。同时，公司第四季度净利润高达429.6亿美元，同比增长94%。在随后的电话会上，英伟达创始人兼CEO黄仁勋明确提出了“...</p>\n\n<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260226192608a722400b&s=b\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"LU0882574139.USD","symbol_name":"富达环球消费行业基金A 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high","themeId":"f3a9a00fee484f557e9d66aadbca9109","isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"SNVD.UK":0.6,"NVDQ":0.6,"2NVD.UK":0.6,"NVDD":0.6,"ANV":0.6,"NVD":0.6,"NVDG":0.6,"NVD2.UK":0.6,"NVDX":0.6,"NVDY":0.6,"NVII":0.6,"NVDU":0.6,"DIPS":0.6,"NVDS.UK":0.6,"3NVD.UK":0.6,"NVDA":1.98,"NVIW.SI":0.6,"NVD3.UK":0.6,"NVDB":0.6,"NVDS":0.6,"NVDW":0.6},"content_text":"财报数据显示，公司第四季度单季总营收达到681亿美元，环比增长20%，同比增长73%，创季度营收历史新高。在整个2026财年，英伟达全年总营收达2159亿美元，同比增幅达到65%。在盈利能力方面，第四季度GAAP毛利率和非GAAP毛利率分别为75.0%和75.2%，略高于此前预期。同时，公司第四季度净利润高达429.6亿美元，同比增长94%。在随后的电话会上，英伟达创始人兼CEO黄仁勋明确提出了“算力即收入”（Compute equals revenues）的核心论断。让小二整理了核心观点：根据英伟达2026财年第四季度财报电话会议的内容，黄仁勋的核心观点可以梳理为以下几个关键方面：1. 代理式AI发展迎来根本性拐点黄仁勋强调，代理式AI（Agentic AI）的实用拐点已经到来。企业对智能体的采用正在飞速增长，计算需求呈指数级爆发。他明确指出，行业已真正站在关键转折点，AI不再是未来趋势，而是正在真实创造现金流的产能。2.Compute = Revenue黄仁勋提出了“Compute = Revenue”（计算即营收） 的核心论断。他解释，在全新的AI时代，推理（Inference）就等于客户的收入。智能体（Agent）生成的大量Token能够直接货币化，而算力是生成Token的前提——没有算力就无法生成Token，没有Token就无法实现营收增长。因此，AI数据中心不再是IT成本，而是直接产生收入的“智能工厂”或“算力发电厂”。3. 每瓦性能成为决策关键由于全球数据中心普遍面临电力限制，“性能/瓦特”已成为客户做出架构决策的最关键指标。黄仁勋表示，英伟达通过全栈协同设计，在能效比上建立了显著优势。例如，其Grace Blackwell系统在推理领域实现了比领先竞品高达50倍的每瓦性能提升。4. 产品与技术路线图持续领先• Blackwell架构：目前已部署近9吉瓦（9 GW）的基础设施，并处于满负荷运行状态。即使是六年前的Ampere架构产品在云端也已售罄，印证了需求的旺盛。• Rubin平台：已向客户发送首批样品，预计2026年下半年量产。该平台旨在将推理Token成本再降低10倍，并保持与CUDA生态的兼容。• 软件优化：通过CUDA等软件优化，在短短四个月内已将GB200 NVL72系统的性能提升了5倍。5. 生态构建与战略合作黄仁勋证实，英伟达接近与OpenAI敲定一项重要的合作伙伴协议，并将其形容为“一代人中仅此一家”的公司。此外，公司还通过投资Anthropic（100亿美元）、与Meta达成数百万GPU的部署合作、收购Grok的低延迟推理技术，以及与西门子等工业巨头深化合作，构建起强大的生态护城河。6. 新的增长曲线：物理AI与主权AI• 物理AI：包括汽车和机器人业务，在2026财年已贡献超过60亿美元收入。黄仁勋指出，机器人出租车和自动驾驶将从千辆级扩展至百万辆级，这代表了持续在线的推理需求，是第二条增长曲线。• 主权AI：2026财年该业务收入超过300亿美元，同比增长3倍，主要来自加拿大、法国、荷兰、新加坡和英国等，各国将AI基础设施视为核心战略资源。7. 回应市场关切，展现信心针对市场对“客户资本开支见顶”和“AI泡沫”的担忧，黄仁勋回应称对客户现金流的增长“充满信心”。他认为，用能够实现生产力飞跃的AI机器取代全球旧的计算机设备基础将需要数年时间，这确保了长期需求。英伟达已战略性确保库存和供应，能满足延续到2027年的出货需求。小结黄仁勋通过这次电话会议，向市场清晰传递了英伟达的叙事：AI已从投入期进入产出期，算力是直接驱动营收的核心生产资产。 公司凭借在架构能效、全栈协同和生态绑定上的优势，正牢牢把握这一“工业革命”的主动权。当然，您也可以使用AI小二对上述研究主题进行进一步的追问，如对于达链的影响、对于国内AI行业的影响等。如果您也有关心的研究主题想要更深入的研究，欢迎问一下聪明的AI小二~AI小二网页版，“码”上使用AI小二 App端，点击左下角“阅读原文”风险提示：上述案例仅作参考之用，不作为任何投资决策或者投资建议，据此操作，风险自负。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"2","news_tag":"dataReport","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":0,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[],"hasMoreComments":false,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"isCrawlerRequest":true}