宇树科技消息，宇树科技成为"中央广播电视总台2026年春晚机器人合作伙伴"。 国泰海通证认为，人形机器人产业发展加速。CES上，英伟达CEO黄仁勋宣布人工智能进入理解物理世界的新阶段。同时，英伟达发布用于机器人学习推理 的NVIDIACosmos和GR00T开放模型及数据，推出机器人评估平台IsaacLab-Arena，以及简化机器人训练流程的OSMO边缘到云计算框架，有望打造能够快 速学习多项任务的通用型专业机器人。包括海外特斯拉、Figure、波士顿动力等海外巨头及国内宇树、智元等国内领先企业有望在在生态链协同情况下，在 感知、决策、执行等核心环节实现跨越式突破，抢占机器人产业"ChatGPT时刻"的先发优势，共同推动人形机器人从实验室走向规模化商用的新阶段。 国海证券认为，电动化与智能化浪潮下，国内外人形机器人产品问世并不断迭代，有望开辟比汽车更广阔的市场空间，人形机器人产业链将迎来"从0至1"的 重要投资机遇。1X发布全新世界模型，人形机器人企业融资加速。机器人从本体到零部件商持续开展产品迭代，同时快速推进业务合作和场景应用，积极 探索人形机器人规模化量产和商业落地，人形机器人产业或迎来"ChatGP ...

云服务商的资本支出（Capex）已经达到了无法再用"显著增长"来形容的程度。排名前八的云服务商的投资额将从 2021年的1451亿美元增长到2026年的6020亿美元，增长超过四倍。这种增长速度简直令人难以置信。 即便如此，市场中仍不乏对这一主流避险配置的质疑声："又是一场泡沫""迟早会破裂" 之类的论调甚嚣尘上。但此类 说法毫无事实依据，并非单纯的主观臆断，本质上更是对现实的刻意回避。究其根源，当下的投资规模扩张，并非由 经济周期、市场情绪或泡沫化趋势驱动，而是源于物理定律的底层支撑 —— 海量的算力需求。 核心关键在于，生成式人工智能的计算负载绝非 "搜索功能的延伸"，而是属于更高维度的 "学习与推理" 范畴。正如 后文将详细阐释的，谷歌搜索的算力架构以 CPU 为核心，而 ChatGPT 的推理环节则以 GPU 为核心展开大规模矩阵运 算，其所需的计算量更是前者的 1 万至 10 万倍。 换言之，云服务厂商的算力投入并非出于主动选择，而是源于行业竞争的必然要求 —— 若不跟进布局，便会在赛道 中陷入落后。对于当下的云平台而言，无法支撑生成式人工智能的运行，就等同于丧失核心价值。也正因如此，这场 算力投资 ...

In this article2330-TWINTCNVDAC.C. Wei, CEO of TSMC, and Jensen Huang, CEO of Nvidia, interact on stage during TSMC’s annual sports day in Hsinchu, Taiwan, Nov. 8, 2025. Ann Wang | ReutersWhen Jensen Huang first met Morris Chang decades ago, he told the founder of Taiwan Semiconductor Manufacturing Company that one day Nvidia would be the chip foundry's biggest customer. That's a story Huang, Nvidia's CEO, was asked about on a recent podcast, and it's a promise that is on track to be realized this year. Nvi ...

Nvidia Corp. (NASDAQ:NVDA) CEO Jensen Huang endorsed Anthropic's Claude AI platform during his first appearance at the World Economic Forum in Davos, Switzerland, calling the technology a breakthrough in coding and reasoning capabilities. Huang Says ‘We Use It All Over’ On Wednesday, during a conversation with BlackRock Inc. (NYSE:BLK) CEO Larry Fink, Huang said, "Claude is incredible. Anthropic made a huge leap in coding and reasoning." Don't Miss: Missed Nvidia and Tesla? RAD Intel Could Be the Next AI ...

以下文章来源于一波说商业实验室 ，作者实验室研究员 一波说商业实验室 . 杨一波，北大金秋控股董事长|一波说商业实验室创始人，曾服务中国海运/中国电信/汇丰银行/张裕葡 萄酒/燕京啤酒等领军企业，以"升格商业洞见"开启企业家上帝视角，破局商业迷局。 导语：世界上不会再出现第二个像他这样的CEO了。 在全球半导体联盟（GSA）推出的Podcast节目《A Bit Personal》中，英伟达CEO黄仁勋罕见 正面回应公司接班议题。他坦言， 自己33年来与英伟达共同成长的经历难以被复制， 但公司管 理层早已形成由近60位"潜在CEO"组成的坚实团队。 黄仁勋视台积电创办人张忠谋为 "大器晚成"的典范，向往能像他一样工作至80多岁，将人生最 具创造力的阶段全心投入有意义的事业。访谈中，黄仁勋也坦露个人面向：公开演讲前总是焦虑 不已，而最让他"火冒三丈"的，则是在关键会议中遭遇敷衍与答非所问的回应。 在全球科技产业中，英伟达 CEO黄仁勋以其鲜明的皮衣造型、充满热情的主题演讲与前瞻的战 略眼光，成为标志性人物。然而，在近日接受《A Bit Personal》节目专访时，黄仁勋褪去外界 熟悉的公众形象，罕见地深入谈及英 ...

Core Viewpoint - NVIDIA Corporation (NASDAQ:NVDA) remains a focal point for Jim Cramer, who defends the stock despite a recent 10% decline since early November, citing its low valuation relative to its intellectual property [2]. Group 1: Analyst Sentiment - Analysts from RBC Capital and Wolfe Research have maintained Outperform ratings on NVIDIA, driven by confidence in the company's strong ecosystem, AI demand, and order backlog [2]. - Cramer emphasizes the need for market watchers to have more faith in CEO Jensen Huang, especially following Huang's discussion on AI's potential impact on human lifespan with Eli Lilly's CEO [2]. Group 2: Market Dynamics - Cramer notes that while NVIDIA has significant potential, some AI stocks may offer better returns with lower risk, suggesting a competitive landscape in the AI sector [3]. - The discussion around AI and compute resources highlights NVIDIA's role in accelerated computing, although the stock has faced challenges in gaining momentum [3].

导读： 在当下复杂的投资环境下，投资人一定要顺势而为，拥抱贝塔。 作者｜矛哥 来源 ｜常垒创投 2025，我是如何实现：硬科技，从入门到彻底放弃。 上面这句话不是我说的，但不止一个人跟我说过，无论是一级投资的朋友还是二级的朋友。 之前一个VC投资的朋友曾跟我说过，他们只投资两类商业模型的企业： 要么上来就巨额亏损，需要持续融资； 要么上来就赚钱，后续不太需要融资。 因为其余的业务模型都不支撑VC的投资框架，我觉得还蛮有道理。 当下的科创投资周期跟当年TMT时代的互联网投资越来越像。 都是巨额融资，巨额亏损； 都是商业模式看不懂，花钱补贴客户，短期算不过账； 大洋彼岸，都有成功对标企业；投资机构都要抱团站队，因为结局都看不清。 但也有不同之处。 在TMT时代，钱主要花在了流量获取和补贴C端用户上。 在科创时代，钱也投在了流量上，不过主要是为了博领导的眼球，而补贴主要用在B端大客户上。 在TMT投资时代，政府国资的钱不敢上。 在当下科创时代，市场信仰派的钱却不敢上了。 投资的信仰和价值观本没有对错，只是在不同周期，各种价值观获得的收益反馈却截然不同。 在往期的文章里我们曾提出，2023年会出现一个投资的分水岭，本 ...

Company Overview - Nvidia is recognized as the world's most important artificial intelligence company, evolving from a pioneer in PC graphics for video games to a key player in the AI revolution with its advanced GPUs [1] - The company has established itself as essential for training AI and large language models, significantly ahead of its competitors [1] AI Infrastructure Buildout - CEO Jensen Huang dismissed bubble fears regarding AI investments, highlighting rising spot prices for GPUs and the challenges in renting them [2] - Major tech companies like Amazon, Alphabet, and Microsoft have already invested hundreds of billions in AI, with predictions of trillions more in the pipeline to support advanced AI models [2] Financial Estimates - Zacks Consensus Analyst Estimates indicate that Nvidia's revenue and EPS are expected to increase by over 50% in 2026 and continue into 2027 [3] - Current revenue estimates for Q1 2026 are projected at $65.59 billion, with a year-over-year growth estimate of 66.78% [4] - EPS estimates for Q1 2026 are at $1.52, reflecting a year-over-year growth of 70.79% [4] Valuation Metrics - Nvidia's stock valuation has become more attractive, with its price-to-sales ratio decreasing from 200x in 2023 to approximately 24x [5][6] - The company is experiencing explosive earnings growth while maintaining a reasonable valuation, making it appealing to a broader range of investors [5] Expansion into New Verticals - The AI revolution is expected to expand beyond chatbots into physical AI and robotics, presenting significant opportunities [7] - Nvidia's advancements in AI are anticipated to disrupt legacy software businesses as complex AI models integrate into various applications [7] Strategic Developments - Nvidia has secured approval to sell its H20 AI chips in China, marking a significant growth opportunity despite a revenue-sharing condition with the U.S. government [8] - The deal positions Nvidia to tap into the growing AI market in China, driven by major tech companies and government initiatives [8] Conclusion - Nvidia's transition from gaming to a foundational role in the global AI revolution positions it well for future growth, with increasing demand and expanding AI applications [9]

英伟达正计划通过推出基于Arm架构的系统级芯片（SoC），或将进军Windows消费级笔记本电脑市场，外界认为 此举意在打破x86架构在该领域的长期垄 断，并重塑PC处理器的竞争格局。 联想领跑早期采用，覆盖多条产品线 据行业消息源透露，联想在英伟达Arm芯片的早期采用中处于领先地位。报告指出，联想已开发了六款基于N1和N1X处理器的笔记本电脑，产品阵容广泛。这 包括14英寸和16英寸的IdeaPad Slim 5，15英寸Yoga Pro 7的两个变体，以及一款可转换的Yoga 9二合一设备。 尤为引人注目的是一款被标记为"Legion 7 15N1X11"的15英寸游戏笔记本。TechNews指出， 这表明英伟达并不局限于轻薄本市场，而是拥有将N1X推向高性 能消费市场的更广泛野心。 此外，联想建立的"Nvidia N1X Portal"进一步证实了该平台已进入内部测试阶段。 性能对标高端桌面级，戴尔紧随其后 尽管N1和N1X的完整规格尚未正式披露，但近期的Geekbench泄露数据提供了性能参考。数据显示，N1X可能配备多达20个CPU核心，其GPU的CUDA核心 数量可与桌面级RTX 5070相媲美。 ...

Core Insights - The artificial intelligence company Synthesia has successfully raised $200 million in funding to enhance its software offerings for businesses [1] Company Summary - Synthesia focuses on developing software that enables businesses to create interactive training videos for employee education [1]