拆解英伟达2026财年业绩：三大改变正在发生！

e公司02-26

作为全球人工智能（AI）芯片巨头，英伟达不出意外地再次发布了“超预期”的成绩单。2026财年第四季度财报及2026财年全年公司数据中心业务再创新高，新一季的指引也超出市场预期。拆解英伟达发布的业绩可以发现，三大改变正在发生。商业模式升级尽管英伟达创始人兼首席执行官黄仁勋曾多次强调英伟达不是只卖芯片，而是AI工厂，但难敌大众印象根深蒂固，而最新业绩还是确认了英伟达商业模式的成功升级。2026财年，...

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happening!","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"NVDG":0.6,"NVDU":0.6,"NVDW":0.6,"NVD3.UK":0.6,"NVDA":1.98,"NVD2.UK":0.6,"NVII":0.6,"NVDS":0.6,"NVDX":0.6,"NVD":0.6,"NVDB":0.6,"NVDQ":0.6,"ANV":0.6,"NVIW.SI":0.6,"DIPS":0.6,"NVDY":0.6,"3NVD.UK":0.6,"2NVD.UK":0.6,"NVDS.UK":0.6,"NVDD":0.6,"SNVD.UK":0.6},"content_text":"作为全球人工智能（AI）芯片巨头，英伟达不出意外地再次发布了“超预期”的成绩单。2026财年第四季度财报及2026财年全年公司数据中心业务再创新高，新一季的指引也超出市场预期。拆解英伟达发布的业绩可以发现，三大改变正在发生。商业模式升级尽管英伟达创始人兼首席执行官黄仁勋曾多次强调英伟达不是只卖芯片，而是AI工厂，但难敌大众印象根深蒂固，而最新业绩还是确认了英伟达商业模式的成功升级。2026财年，英伟达实现全年营收为2159亿美元，同比大涨65%，GAAP口径下，净利润为1200.67亿美元，同比大涨65%；每股收益为4.9美元，同比大涨67%。作为英伟达核心业务，数据中心增长强劲，第四季度业务收入达到了创纪录的623亿美元，同比增长75%，全年收入1937亿美元，贡献公司近九成收入。深芯盟首席分析师顾正书指出，英伟达数据中心业务已经从单一组件向全栈集成系统的转型。通过将客户从购买单张B200 GPU引导至部署GB200 NVL72机架级系统，让产品平均售价从约为4万美元提升至200万至300万美元，实现了商业模式的维度升级。“这种机架级集成不仅提升了营收上限，更通过NVLink互联技术、Grace CPU 和全栈软件将“四大”云服务商亚马逊、谷歌、Meta、微软深度绑定在英伟达生态内，显著抵消了超大规模企业自研 ASIC芯片带来的长期潜在威胁。” 顾正书表示。进一步来看，作为英伟达数据中心基石，网络业务迎来空前大爆发。受NVLink、Spectrum‑X以太网与InfiniBand强劲采用驱动，公司网络业务增长突出，来自横向扩展与纵向扩展技术需求创下历史新高，环比均实现双位数增长，英伟达2026财年网络业务收入突破310亿美元；相比2021财年英伟达出手收购迈络思布局和强化网络业务时，该业务增长超10倍。有电子行业分析师向记者表示，网络业务堪称英伟达CUDA生态之外另一项重要的“杀手锏”，正在以更加灵活的姿态“渗透”到竞争对手阵营，而且随着新机柜架构出货越多，网络占比也会越多。在黄仁勋定位中，网络是平台的自然延伸，“我们开放提供所有组件，客户可自由组合、管理不同规模，集成到定制数据中心”。第四季度，英伟达宣布将为亚马逊AWS提供NVLink支持，使其与自研芯片集成。全力押注推理时代作为英伟达核心产品，Blackwell架构平台推进顺利，下一代Rubin平台计划2026年下半年正式量产出货。据介绍，相比Blackwell平台，Rubin训练混合专家（MoE）模型所需GPU数量减少75%，推理Token成本最高降低10倍，精准卡位推理时代低成本的需求。英伟达创始人兼首席执行官黄仁勋更是反复强调，智能体AI已迎来拐点，就在过去两三个月发生。行业内部其实已观察约6个月，但世界现在才觉醒，算力需求呈指数级增长，“算力即收入”。英伟达作为AI训练时代的“王者”也在重金押注AI推理。去年12月，公司斥资200亿美元现金收购了Groq低延迟推理技术与相关工程团队，而这笔非独家技术许可与人才转移的非传统收购，成为英伟达历史上规模最大的一笔交易。“这一收购有着极高的战略价值。”CIC灼识咨询董事总经理余怡然向记者表示，Groq的LPU（语言处理单元）在特定推理场景（如大语言模型文本生成）具有极低延迟和高效能优势，因此，收购有助于英伟达整合不同技术路线，为客户提供更全面的推理解决方案，巩固英伟达“一站式AI算力商店”的地位。余怡然表示，这也是应对差异化竞争的必要性举措。因为在推理市场，客户对成本、能效和特定场景优化更为敏感。通过Groq等技术，英伟达能够以更灵活的产品组合应对来自谷歌TPU、亚马逊自研芯片及各类ASIC芯片的竞争。据黄仁勋最新“剧透”，Groq相关技术将整合至英伟达的新一代构架中，进一步提升AI基础设施性能与成本效益。更多进展预计将于3月GTC大会上对外披露。长期以来，业内认为英伟达面临真正的挑战不在于订单，而是在于台积电等关键供应链接单能力。据顾正书分析，台积电CoWoS-L先进封装产能预计到2026年中旬前都将处于极度短缺状态。同时，HBM4内存的供应已成为战略高地，SK海力士(占据70%份额)与三星的交付节奏将直接决定Rubin平台的初期上量速度。近期还曝出由于玻璃布短缺，严重影响AI服务器PCB生产进度。在本次业绩说明会上，英伟达执行副总裁兼首席财务官Colette Kress明确，已做好库存与供应承诺安排，可覆盖至2027自然年的出货。预计2026自然年全年营收将保持环比增长，超过公司去年公布的Blackwell与Rubin平台5000亿美元收入指引。台积电此前更是拔高了资本开支，预计2026年资本支出将达到520亿至560亿美元，创下历史新高。其中，资本开支70%—80%投向先进制程扩产，另外，10%—20%用于先进封装领域，重点保障AI芯片产能供应。AI支出信仰并未“坍塌”尽管资本市场一再担忧AI泡沫，全球云服务厂商还持续真金白银地加大AI基建投资力度，这为AI时代“卖铲人”英伟达提供持续业绩支持。据TrendForce集邦咨询预计，2026年八大主要云服务商合计资本支出将超越7100亿美元，年增长率约61%，其中包括持续采购英伟达、AMD GPU方案，以及扩大导入ASIC基础设施等，以确保各项AI应用服务的适用性与数据中心建置成本效益。英伟达则进一步深化生态合作，与OpenAI接近达成合作协议，也与Anthropic、Meta等推进合作。除了超级云客户、AI前沿企业外，英伟达的客户还来自主权国家。公司执行副总裁兼首席财务官Colette Kress介绍，2026财年公司主权AI业务收入同比增长超两倍，突破300亿美元，主要客户来自加拿大、法国、荷兰、新加坡与英国。预计未来主权AI将与AI基础设施市场同步增长，各国AI支出与其GDP成正比。展望2027财年第一季度，英伟达预计营收约780亿美元，同比增长2%，大超市场预期的727.8亿美元，被分析师称为“碾压式业绩指引”。“公司业绩强劲但股价反应温和，是预期充分计价、资金交易远期拐点的结果。”余怡然向记者表示，在推理市场，竞争格局更为开放。谷歌TPU因性价比和适配性保持高速增长；云厂商自研芯片及多元化采购策略；国内的GPU厂商在不少特定场景取得进展，这都可能侵蚀英伟达的长期定价权和市场份额。英伟达客户也在采取更加多元供货策略。2月17日Meta在向英伟达下单仅一周后，便宣布向AMD采购高达6吉瓦算力订单。责编：陈丽湘","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":0,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; 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