尽管投入巨额资金和组建庞大的团队，但微软和谷歌等科技部门在自主研发人工智能芯片以挑战英伟达 市场霸权的道路上，正面临严峻的技术、人才挑战。 为追赶技术潮流，微软制定了雄心勃勃的后续芯片路线图。据知情人士透露，该计划即将报道，于 2025 年至 2027 年陆续部署代号为 Braga、Braga-R 和 Xylia 的三款继任芯片。 然而，微软的下一代代号为Braga的AI 芯片面临至少六个月的延迟，将其量产从2025年推迟到2026年。 他们表示，当它明年最终投入量产时，预计其性能将远低于 2024 年底发布的英伟达Blackwell 芯片。 微软在开发过程中要求对布拉加进行设计更改，以整合OpenAI带来的新功能。这些导致芯片在模拟运 行时变得不稳定。虽然设计出现较大变化，但微软拒绝推迟年底完成设计的最后期限，给团队带来了巨 大的压力，团队因此流失了五分之一的成员。 周五，据媒体援引知情人士，微软最新一代AI芯片的设计周期远超预期，导致其在性能上难以与英伟 达的同类产品竞争，其芯片Maia 100目前仅用于内部测试。 同时，谷歌在芯片领域的工作也遭遇了人才流失的打击。据直接知情人士称，谷歌与联发科合作开发下 ...

Core Insights - AI technology is fundamentally reshaping the future of computing and industry, marking the arrival of a new industrial revolution driven by "AI factories" [1] - Traditional data centers are evolving into AI factories that generate "intelligent tokens," providing power across various industries [1] - NVIDIA's new architecture, Blackwell, is designed to meet the increasing inference demands of AI models, achieving a significant performance leap [1] Group 1 - Huang Renxun predicts the next phase of AI, termed Agentic AI, which will understand tasks, reason, plan, and execute complex tasks, with robots as its physical embodiment [2] - The demonstration of a robot named "Greg" showcased the ability to learn and interact within a digital twin environment before being deployed in the physical world [2] - Major companies like BMW, Mercedes-Benz, and Toyota are utilizing Omniverse to create digital twins of their factories or products [2] Group 2 - NVIDIA has made significant progress in quantum computing, viewing it as a pivotal moment, and plans to connect quantum processors (QPU) with GPUs for enhanced computational tasks [2] - The entire cuQuantum quantum computing algorithm stack is now capable of accelerating on the Grace Blackwell system [2] - Huang Renxun emphasized deep collaboration with European partners, including the establishment of a large AI cloud with French company Mistral and partnerships with Schneider Electric for future AI factory design [2] Group 3 - NVIDIA is establishing AI technology centers in seven different countries to promote local ecosystem development and collaborative research [3] - A new computing era has begun, with NVIDIA providing a full-stack platform from chips to software and AI models to empower global developers and enterprises [3]

作 者丨倪雨晴 编 辑丨张伟贤 图源丨IC 整个华尔街整个AI界都在翘首等待AI巨头英伟达的最新成绩单。 美东时间2月2 6日盘后，英伟达发布了2 0 2 5财年第四季度财报（截至2 0 2 5年1月2 6日），成绩 超预期。 财报显示，英伟达第四财季总营收达到3 9 3 . 3 1亿美元，同比增长7 8%；净利润为2 2 0 . 6 6亿美 元，同比增长7 2%。全年来看，英伟达全年实现营收1 3 0 4 . 9 7亿美元，同比增长11 4%；净利 润达7 2 8 . 8 0亿美元，同比增长1 4 5%。 整个2 0 2 5财年，英伟达依然高速增长，并且在偏保守悲观的市场情绪中，交出了一份高于预 期的成绩，释放了信心。 此前不少投资机构预计，英伟达四季度营收同比增速将放缓到7 3% 左右，实际上达到了7 8%，同时，对应每股净利0 . 8 9美元也高于分析师预计的0 . 8 4美元。 具体到业务线，数据中心业务在第四季度收入高达3 5 5 . 8亿美元，占总营收的绝大部分，同比 增长9 3 . 3 2%。全年营收增长1 4 2%，达到创纪录的11 5 2亿美元。近两年来，数据业务是英伟 达业绩高增的核心引擎 ...