每经记者｜杨卉 每经编辑｜许绍航 12月16日，多张流传于网络的照片显示，美国超威半导体公司（AMD）董事会主席兼首席执行官苏姿丰率高管团队造访联想集团位于北京的全球总部。 当日下午，《每日经济新闻》记者从知情人士处确认了这一消息。据悉，联想集团多位高管陪同AMD一行参观了包括人形机器人在内的多项联想最新产 品与技术成果。 苏姿丰与联想集团之间的互动并非首次。在人工智能（AI）浪潮下，AMD成为仅次于英伟达的第二大数据中心图形处理单元（GPU）厂商，作为终端厂 商的联想集团自然是其争夺的关键。今年3月，苏姿丰到达中国后造访的第一家企业就是联想集团。双方随后宣布将在AI PC（人工智能电脑）领域展开 多项合作。 值得关注的是，联想集团同时也在加速深化与英伟达的关系。据上述人士介绍，约一个月前，联想集团全体董事会成员及核心高管团队受邀访问了英伟达 位于美国加州的总部，双方围绕AI基础设施、企业级算力解决方案以及潜在的生态级合作进行了交流。两家企业均未披露关于此次交流的相关信息。 此外，联想集团此前披露的信息还显示，公司将于2026年1月6日在拉斯维加斯Sphere举办联想科技创新大会。届时，英伟达首席执行官黄仁勋 ...

■ 李春莲 近期，谷歌自研的人工智能（AI）芯片张量处理单元（TPU）宣布对外供货，此举推动公司市值一度逼 近4万亿美元，并因此被市场称为"AI新王"。这一突破被市场解读为对英伟达图形处理单元（GPU）主 导地位的挑战，为处于迷雾中的AI产业注入了新动能，也为市场带来了新的选择和竞争活力，标志着 AI产业正从一个相对集中的格局，向更加多元化的方向发展。 笔者认为，可以从以下三个方面看谷歌此举对AI产业的影响。 从技术路线来看，这揭示了AI产业的健康进化方向。 谷歌TPU对外供货的商业化破冰，并非简单的产品竞争，更像是AI硬件领域的一次"鲇鱼效应"，进一步 激活了AI市场，推动算力加速迈向多元共生的新生态。健康的技术进化是打造相互支撑的技术体系， 这也是"AI新王"带给行业的核心启示。对于整个AI产业而言，这降低了对单一供应商的依赖，通过技术 路线竞争倒逼行业创新加速，推动技术进步和成本下降，最终惠及产业链所有参与者，为AI产业提供 最坚实的基础。 从行业演变来看，这是AI硬件走向成熟的标志。 实际上，谷歌此次破局是历时十年构建的"算力底座（TPU）—核心模型（Gemini）—商业生态（搜索 +云+终端）"全链 ...

（文章来源：每日经济新闻） 每经AI快讯，美东时间12月2日周二，亚马逊云计算部门AWS在年度云计算盛会re:Invent上推出新一代 人工智能（AI）训练芯片Trainium 3，预告了下一代产品Trainium 4的开发计划。亚马逊表示，这款芯片 能够比英伟达市场领先的图形处理单元（GPU）更便宜、更高效地驱动AI模型背后的密集计算。亚马 逊同时推出四款Nova 2模型针对不同应用场景设计。 ...

Core Viewpoint - Google's launch of its self-developed AI chip, Tensor Processing Unit (TPU), has positioned the company as a significant player in the AI industry, challenging NVIDIA's dominance in the GPU market and marking a shift towards a more diversified AI landscape [1][3]. Group 1: Technological Evolution - The commercialization of Google's TPU signifies a healthy evolution in the AI industry, reducing reliance on a single supplier and fostering innovation through competitive technology routes [3]. - This shift is expected to accelerate technological progress and lower costs, benefiting all participants in the AI industry [3]. Group 2: Industry Maturity - The competition between GPU and TPU represents a maturation of AI hardware, bringing structural benefits to the upstream supply chain, including hardware components like optical modules and PCBs [4]. - The maturity of AI hardware is crucial for the depth and breadth of industry evolution, transforming the concept of "AI in all hardware" into reality [4]. Group 3: Business Logic - Google's TPU initiative reflects a decade-long effort to create a closed-loop system integrating computing power, core models, and a commercial ecosystem, indicating a shift from model performance to application implementation in AI competition [5]. - The current phase of the AI industry emphasizes value creation in real-world applications, despite challenges such as high costs and data scarcity, highlighting the necessity for technological updates [5].

Core Insights - Amazon's cloud computing division is launching its latest AI chip, Trainium3, which will start shipping to customers this Tuesday [1] - The Trainium3 chip is designed to be cheaper and more efficient than Nvidia's leading GPUs for driving the intensive computations behind AI models [1] - Amazon aims to attract cost-conscious companies with Trainium3, although the chip lacks robust software library support that facilitates quick deployment and operation compared to Nvidia's GPUs [1]

智通财经APP获悉，英伟达(NVDA.US)和德国电信公司正在德国建造一座价值 10 亿欧元(12 亿美元)的 数据中心，以加强欧洲的基础设施，从而为复杂的人工智能系统提供支持。这家德国最大的电信运营商 周二在一份声明中表示，该设施是欧洲最大的设施之一，将于 2026 年第一季度开始运营。 该计划在柏林举行的一场活动上公布，英伟达首席执行官黄仁勋、德国电信首席执行官Tim Höttges、 SAP(SAP.US)和德意志银行负责人以及两位德国政府部长出席了活动。他们的出席凸显了欧洲最大经济 体德国正寻求发展自己的人工智能生态系统，以与其他国家的竞争对手展开竞争。 欧洲最大的软件公司SAP将为该数据中心提供其商业技术平台和应用程序，该数据中心将扩建慕尼黑现 有的设施。德国电信表示，这将使德国的人工智能计算能力提升约50%。 然而，这笔投资的规模也凸显了欧洲和美国之间的差距。微软(MSFT.US)和谷歌母公司 Alphabet(GOOGL.US)等科技巨头以及OpenAI等初创公司正在投入数千亿美元来构建人工智能计算能 力。 根据声明，德国的这个项目将使用多达1万个图形处理单元(GPU)。但相比之下，这仅仅是美国 ...

Core Insights - Nvidia's CEO Jensen Huang expressed surprise at AMD's decision to sell 10% of its shares to OpenAI, calling it imaginative and unique [1] - OpenAI and AMD agreed on a deal where OpenAI will purchase $6 billion worth of chips, including the upcoming MI450 series, and receive warrants for up to 160 million shares of AMD [1] - AMD's stock surged by 11% following the announcement, with a cumulative increase of 43% for the week [1] - Nvidia's stock also rose by 2% after Huang's comments, indicating market confidence in Nvidia's position [1] Nvidia's Investment in OpenAI - Nvidia announced plans to invest up to $100 billion in OpenAI over the next decade, with OpenAI agreeing to build systems requiring 10 gigawatts of power [2] - Huang highlighted that this investment allows Nvidia to sell products directly to the developers of ChatGPT, contrasting with AMD's deal [2] - Concerns were raised about the cyclical nature of AI infrastructure deals, with Huang noting that OpenAI currently lacks funds and needs to raise capital through revenue, equity, or debt [2] AI Demand Growth - Huang noted a significant increase in demand for AI models, particularly in the last six months, as they evolve from simple question answering to complex reasoning [7] - The demand for Nvidia's advanced GPUs, particularly the Blackwell series, is exceptionally high, signaling the start of a new industrial revolution [7] - The scale of AI industry plans raises questions about whether leading companies can secure the necessary power to meet their ambitions [7] Competition with China - Huang stated that the U.S. is currently "not far ahead" of China in the AI race, with China rapidly building the necessary infrastructure [8] - He emphasized the need for new power generation facilities outside the grid to meet AI demands and protect consumers from rising electricity prices [8] - Huang advocated for investment in various energy production methods to ensure data centers can generate power quickly [9] Nvidia's Relationship with Intel - Huang expressed optimism about Nvidia's recent collaboration with Intel, viewing it as a win-win situation for both companies [6] - He recounted a historical rivalry with Intel, suggesting that Intel had attempted to undermine Nvidia's growth over the years [5] - The partnership allows Nvidia to enter a large consumer market while providing Intel with opportunities in mainstream data center markets [6]

Core Insights - Nvidia announced a $100 billion investment in OpenAI, highlighting its significant investment portfolio since the emergence of generative AI in 2022 [2] - The company also committed $5 billion to Intel and $500 million each to Wayve and Nscale, showcasing its strategy of investing in both competitors and partners [2] - Nvidia's market value surged from approximately $420 billion to around $4.3 trillion since the launch of ChatGPT, with annual revenue increasing from $27 billion in FY2023 to $130.5 billion, a growth of 383% [3] Investment Strategy - Nvidia's investment portfolio, valued at $4.33 billion, includes companies like Applied Digital, Arm, and CoreWeave, many of which have strategic ties to Nvidia's core business [2][3] - The number of investments made by Nvidia increased from 16 in 2022 to 41 in 2024, and is projected to reach 51 by 2025, excluding the commitment to OpenAI [4] - Nvidia's investments often do not require the companies to exclusively use its technology, as seen in its relationship with OpenAI and Cohere [3] Market Position - Nvidia has become a central player in the AI ecosystem, with its investments indicating potential acquisition targets [7][8] - Analysts suggest that Nvidia's growing sales and cash flow, combined with a challenging regulatory environment for acquisitions, make its investment in OpenAI a "win-win" situation [7] - Nvidia's investments span various technologies, including AI models, biotechnology, robotics, and autonomous vehicles, indicating a broad strategic focus [10] Recent Developments - Nvidia participated in multiple funding rounds for AI startups, including a €1.7 billion ($2 billion) investment in Mistral AI and a $3.07 billion investment in Runway [13] - The company holds a 7% stake in CoreWeave, a cloud service provider that competes with major players like Microsoft and Google, and has secured a $6.3 billion order from Nvidia [14] - Nvidia's venture capital activities have led to successful returns, such as its investment in Scale AI, which recently secured a $14.3 billion deal with Meta [13]

Core Insights - Nvidia is investing up to $100 billion in OpenAI and supplying millions of AI chips, raising concerns about an AI bubble [1][2] - The investment creates a closed-loop funding cycle among Nvidia, OpenAI, and Oracle, benefiting all parties involved [3][4] - There are significant risks associated with this collaboration, including OpenAI's ongoing losses and Oracle's high debt levels [7][8] Group 1 - Nvidia's investment in OpenAI is unprecedented in scale, potentially overshadowing other investments in the AI sector [2] - The partnership forms a "perpetual motion machine" where OpenAI buys cloud services from Oracle, which in turn purchases GPUs from Nvidia, creating a cycle of mutual benefit [3] - The collaboration has sparked discussions on social media about the interconnectedness of these major players in the AI space [4] Group 2 - OpenAI is valued at $100 billion but is projected to incur losses exceeding $5 billion by 2025, with annual cloud service expenses reaching $60 billion [7] - Oracle faces challenges with high debt levels, having a debt-to-equity ratio of 427%, which raises concerns about its financial stability [7] - The current AI landscape is compared to the internet bubble of 25 years ago, with analysts warning of potential irrational valuations among AI startups [8]

【文/观察者网 王一】9月18日，美国芯片巨头英伟达在其官网上发公告宣布，将投资50亿美元入股美 国芯片制造商英特尔公司，并共同开发用于个人电脑和数据中心的芯片。 英国路透社称，交易完成后，英伟达将成为英特尔最大的股东之一，这对近几年挣扎着试图扭亏为盈的 英特尔来说，是一个新的机遇。美国彭博社指出，这一出人意料的投资似乎意在帮助陷入困境的竞争对 手，曾经被英特尔边缘化的英伟达，如今不仅在人工智能（AI）计算领域占据主导地位，还反过来向 老牌巨头提供资金并带来关键技术支持。 消息公布后，英特尔股价在盘前交易中一度猛涨超30%，英伟达股价也上涨3%左右。 9月18日，英特 尔股价一度上涨超30%。 截图 根据公告，英伟达将以每股23.28美元的价格认购英特尔普通股。这一价格略低于英特尔17日的收盘价 每股24.90美元，但高于美国政府上个月收购英特尔股份时支付的每股20.47美元的价格。17日收盘时， 英特尔市值为1160亿美元，这意味着英伟达投资50亿美元持有的英特尔股份在4%左右。 作为合作的一部分，英特尔还将在新一代个人电脑芯片中采用英伟达的技术，并为基于英伟达硬件打造 的数据中心产品提供处理器。但双方并未 ...