来源：金十数据 英伟达(NVDA.O)一个季度赚进430亿美元，市场却并未给予热烈回应。 责任编辑：栎树 伯恩斯坦分析师斯泰西·拉斯贡（Stacy Rasgon）则表示，他"不确定此时投资者还想再听到什么"，但买 方对英伟达2027年前后的预期"非常合理"，因为其产品需求"完全没有放缓的迹象"。他提到，买方观点 认为英伟达在下一个自然年度实现每股收益12美元或以上是可能的，而FactSet的一致预期更接近10美 元。 与此同时，市场还担心内存供应短缺推高价格的影响。英伟达的芯片需要大量内存，而在供应紧张的背 景下，强劲需求已推动行业价格上涨。TD Cowen分析师约书亚·布查尔特（Joshua Buchalter）指出，英 伟达在75%毛利率方面"自信但偏保守的表态"应被视为利好，因为公司很可能在供应趋紧之前就锁定了 内存供应和定价。 不过，布查尔特也对英伟达股价近期的迟滞感到困惑，尤其是在软件股普遍下挫的背景下。他写道： "仅举一个反常之处——软件股似乎正在为生存性衰退定价，而支撑这种未来结果所需的硬件基础设 施，却反而在为需求迅速下滑定价，这实在有些奇怪。" 美股频道更多独家策划、专家专栏，免费查阅>> ...

Group 1 - TSMC's stock price increased by 1.7% to $265 in pre-market trading, reaching a new high [1] - NVIDIA is considering adopting TSMC's most advanced process, the A16 process, which is expected to begin mass production in the second half of next year [1] - The A16 process will utilize backside power delivery technology, marking the first time AI applications will lead TSMC's most advanced process [1] Group 2 - MediaTek's first system-on-chip (SoC) using TSMC's 2nm process has completed tape-out and is expected to launch by the end of 2026 [1]

Core Viewpoint - The keynote speech by NVIDIA CEO Jensen Huang at GTC 2025 focused on the advancements in AI technology, the introduction of new hardware, and the future of robotics, highlighting the transition to the Agentic AI era and the significant computational demands that accompany it [1][3][5]. Group 1: AI Technology Evolution - Huang discussed the evolution of AI through three generations: Perception AI, Generative AI, and now Agentic AI, with the next phase being Physical AI, which pertains to robotics [3]. - The concept of AI scaling laws was introduced, emphasizing the increasing computational requirements for training and deploying AI models [5]. Group 2: Hardware Announcements - NVIDIA unveiled the Blackwell Ultra platform, designed specifically for AI inference, which boasts double the bandwidth and 1.5 times the memory speed of its predecessor [8]. - The upcoming AI chips, Vera Rubin and Rubin Ultra, were announced, with Rubin expected to deliver 3.3 times the performance of the current model and Rubin Ultra projected to achieve 14 times the performance [9]. - Huang highlighted the advancements in silicon photonics, which are expected to serve as the foundation for next-generation AI infrastructure [10]. Group 3: Robotics and Future Prospects - Huang stated that the robotics market could become the largest industry, introducing the GR00T N1, the first open-source humanoid robot model [11]. - Collaboration with Google and Disney on the Newton physics engine aims to enhance robotic learning and development [13]. - General Motors has partnered with NVIDIA to develop future autonomous vehicle fleets, leveraging simulation environments for design improvements [13].