黄仁勋 图片来源：视觉中国 英伟达耗时三十年，才艰难攀上1万亿美元市值的山峰；而从1万亿到4万亿，它却只用了短短两年。 当地时间7月10日，这家全球领先的人工智能芯片供应商的股价收于164.10美元，创下历史新高，成为全球首家市值突破4万亿美元的上市公司。这不仅是AI 第一轮算力竞赛的顶峰，更是一个深刻的产业结构演化信号：AI竞争的核心，已悄然从"谁能训练出最大、最强的模型"，转向"谁能让全世界用得起、用得 好模型"。 自2022年生成式AI的浪潮席卷全球以来，大模型的研发驱动了前所未有的基础设施投资热潮。进入2024至2025年，随着AI"推理"任务（即模型的实际应用） 量呈指数级增长，企业端与消费端的AI应用正在全面铺开，科技巨头在AI基础设施领域的竞争也日趋白热化。 英伟达的登顶，是整个AI生态从"训练为王"向"应用为王"战略跃迁的缩影。真正的拐点在于，AI正开始以前所未有的广度和深度，大规模、日常化地融入 普通人的生活与实体企业的生产流程。AI发展的"第二幕"，已然开启。 英伟达速度：两年从1万亿到4万亿美元 当地时间7月10日，英伟达市值正式迈过4万亿美元大关，成为全球资本市场的新晋王者。福布斯实时 ...

周三，美股市场全面上涨，芯片巨头英伟达（Nvidia）盘中市值一度突破4万亿美元，成为全球首家达成此里程碑的公司，领涨科技股。 标普500指数上涨0.61%，收于6,263.26点，纳指则大涨0.94%，创下历史新高20,611.34点，道指也上涨217.54点，涨幅0.49%，收于44,458.30点。 | 美股指数 | | | | --- | --- | --- | | 道琼斯 | 纳斯达克 | 标普500 | | 44458.30 | 20611.34 | 6263.26 | | +217.54 +0.49% | +192.88 +0.94% | +37.74 +0.61% | | 中国金龙指数 | 纳指100期货 | 标普500期货 | | 7401.71 | 23047.00 | 6307.00 | | -83.19 -1.11% | -5.75 -0.02% | -0.25 0.00% | | 美国国债 | | | | 3个目期 | 10年期 | 2年期 | | 4.346 | 4.332 | 3.832 | | ▼ 1.03bp | - 0.20bp | ▼ 0.62bp | | 美股ETF | ...

Group 1 - The new tax bill signed by President Trump increases tax credits for semiconductor firms from 25% to 35%, providing a significant opportunity for Intel Corporation to save costs while expanding manufacturing before the 2026 deadline [1][7] - Intel has received $7.86 billion in direct funding from the U.S. Department of Commerce under the CHIPS and Science Act to enhance semiconductor manufacturing and advanced packaging projects across several states [2] - The company is focusing on operational efficiency and is considering shifting its production focus from 18A to 14A to strengthen its foundry position and streamline operations [3][7] Group 2 - Other semiconductor firms like NVIDIA and AMD are expected to benefit from the new tax incentives, with NVIDIA likely to gain funding for AI infrastructure and AMD positioned well for AI data center expansion [4][5] - Intel's stock has declined 36.5% over the past year, contrasting with the industry's growth of 16.5%, indicating potential challenges in market performance [6] - Earnings estimates for Intel have decreased, with a 6.7% decline for 2025 estimates and a 6.3% decline for 2026 estimates, reflecting market concerns [9][10]

4.7 日后，中美两国股市都迎来了一轮上涨： 纳斯达克累计涨幅 32.9% 。恒生科技指数 ETF （ 513180 ）累计涨幅 11.57% 。上证涨了 12.16% 。 A 股整体的上涨幅度没有美股大，从结构上看，也有 很大的差别。 逻辑是对的： 训练芯片以 H100 和 H200 为首，从 2.28 日以后其主力云上价格是往下得： 分析里面的原因：还是基础大模型的迭代变慢所致，在 transformer 架构下的基 础模型迭代明显变慢了，去年 11 月我们还能说是因为算力不够的原因，大 模型迭代受阻。但是从今年 3 月 B200 开始交付， 5 月以后情景看，基础模型的升级就是变慢了。而且从我们跟踪的行业趋势看，预训练美国大厂们还没 放弃，但是基本都把大模型迭代的重点全力投向了 RL 强化学习路径，马上要出来的 GPT5 也是这方面的集大成者。 RL 后训练强化学习阶段，老黄也认为遵 循 scaling law 法则，但比起预训练的暴力增参的大幅需求， RL 的需求显然要小一些。所以从 2 月全球一窝蜂的 转向强化学习这个路径后， H100 和 H200 的租赁价格是明确下降的，这里面也有地区影响，比如 ...

Group 1: Market Dynamics - Nvidia's market capitalization reached $3.89 trillion, just shy of the $4 trillion mark, which would surpass Apple's record of $3.915 trillion [1] - The combined market value of Nvidia, Microsoft, and Apple is significant enough to purchase a large portion of the European stock market [3] - The current market sentiment is divided, with bulls believing Nvidia could reach $5 trillion and bears arguing it resembles the 2000 internet bubble [10][11] Group 2: Apple’s Decline - Apple's market capitalization is currently $3.19 trillion, which is $700 billion less than Nvidia, equating to the value of three Kweichow Moutai or ten CATL [3][6] - The company has struggled with innovation, as recent iPhone models show minimal advancements, leading to consumer fatigue [4][6] - Apple's AI capabilities are lagging behind competitors, with Siri failing to meet expectations while rivals like Microsoft and Google integrate AI effectively into their products [4][6] Group 3: Nvidia’s Ascendancy - Nvidia has transformed from a gaming-focused company to a leader in AI chips, with its GPUs being essential for major tech companies' AI initiatives [7][8] - The company enjoys a high gross margin of 78%, indicating a highly profitable business model compared to traditional industries [8] - Analysts predict that over the next three years, global investments in AI will exceed $2 trillion, with a significant portion flowing to Nvidia [8][10] Group 4: Investment Perspectives - Bulls argue that the demand for AI will continue to grow, making Nvidia's current valuation attractive despite its high price-to-earnings ratio of 32 [10] - Bears caution that current spending on chips may not reflect genuine demand, likening it to the overinvestment seen during the internet bubble [11] - The potential for a bubble exists, but it may persist longer than expected due to ongoing AI demand and favorable monetary policy [13]

This achievement continues CoreWeave's legacy of delivering first-to-market access to the world's most advanced AI infrastructure demanded by the world's leading AI labs and enterprises. This initial deployment of NVIDIA GB300s expands on CoreWeave's existing Blackwell fleet, which also includes the NVIDIA HGX B200 and the NVIDIA GB200 NVL72 system. Last year, CoreWeave was among the first to offer NVIDIA H200 GPUs and was the first AI cloud provider to make NVIDIA GB200 NVL72 systems generally available. I ...

Omdia是一家专注于半导体市场的咨询公司，他们在2025年的半导体市场季度简报中提供了详尽的市场 分析与预测。这包括但不限于全球及中国大陆半导体市场的增长趋势、不同应用类别的市场情况（如智 能手机、个人电脑、数据中心服务器、汽车等）、主要终端应用市场的表现、关税政策对中国半导体产 业的影响等。他们每次出的报告都是经过了大量的市场调研，所以报告的内容都非常硬核。 本篇文章的内容，在获得作者授权后，我们把Omdia的2025半导体市场季度简报中的 部分内容 分享给 大家，也推荐大家可以多关注及订阅Omdia，对 Omdia内容有兴趣的朋友，可以扫文章后面的微信。 半导体市场Overview 中国市场 | | 行业平均 | 行业平均 | 行业平均 | 统计范围内总营收 | | | --- | --- | --- | --- | --- | --- | | | 主利率 | 营业利润率 | 存货周转率 | (亿元人民币) | | | 2025Q1 | 32.68% | 9.25% | 0.53 | | 379.66 | | 2024Q1 | 34.11% | 9.23% | 0.51 | | 315.67 | | Y ...

ab 26 June 2025 Powered by YES UBS Evidence Lab Global Research AI Research We'd flag: 1. At the GPU level, Nvidia's dominance as the training and inference platform of choice was even more pronounced, with rising interest in Blackwell. Key alternatives were proprietary chips from AWS and Google, with adoption of AMD still muted. 2. Microsoft maintained its material lead for hosting AI workloads/GPUs, AWS held its ground in #2, the use of Oracle increased modestly to 10% and the "neo- Clouds" combined to ca ...

科技分论坛 - 新格局 新供给 2025 年中期策略报告会 20250625 摘要 AI 投资逻辑正从训练端转向应用端，推理端需求预计将大幅增长，或占 整体算力需求的 70%以上，并持续扩大供需剪刀差，为相关领域带来投 资机会。 上半年计算机行业经历"先扬后抑"，DeepSeek 发布曾刺激云计算厂 商投资机会，但因业绩未达预期而回调。云计算厂商上半年仍保持正收 益，金融 IT 领域受稳定币政策影响表现活跃。 计算机行业营收同比改善，但未出现巨幅反转，归母净利润增速高于营 收增速，主要得益于费用优化。行业整体资产负债率仍在上升，ROE 同 比下降，表明行业仍处于底部探寻阶段。 AI Agent 技术在环境感知、规划能力、工具使用和记忆能力方面取得超 预期进展，但产品落地和用户数量低于预期，杀手级应用尚未出现，大 模型仍是 Agent 核心。 DeepSeek R2 的发布预计将成为下半年 AI 领域的重要催化剂，若能进 一步降低算力使用量、降低成本并提升性能，将显著推动 AI 发展。 Q&A 智能体经济如何通过消费创造、投资体系和出口升级路径，驱动新供给侧改革 并产生乘数效应？ 智能体经济通过消费创造（即消费 ...

Core Points - The article discusses the shift in U.S. foreign policy under President Trump, indicating a long-term move away from Atlanticism and European alliances towards a focus on the Asia-Pacific region [1][2] - It highlights the challenges Europe faces in re-establishing its own defense capabilities amid a perceived abandonment by the U.S. and the need for increased military spending [4][7] - The article emphasizes the fragmentation of European military capabilities and the reliance on U.S. military technology, which complicates Europe's efforts to independently rearm [12][13] Group 1: U.S. Policy Shift - The U.S. is moving away from Europe, prioritizing the Asia-Pacific region and sacrificing Atlanticism as a result of strategic contraction [1][2] - This shift is not merely a temporary phenomenon tied to Trump's presidency but reflects a long-term trend that will persist regardless of which party is in power [1] Group 2: European Defense Challenges - Europe is attempting to bolster its own defense capabilities, with NATO countries aiming to increase defense spending from 2% to 3% of GDP and enhance military equipment by 30% over the next 5-10 years [7][10] - The European Union has proposed an €800 billion "rearmament plan," with €650 billion coming from member states and €150 billion from a new EU fund [10] Group 3: Military Capability Fragmentation - European NATO countries have a total military strength of around 1.5 million personnel, but much of this is non-combat support, leading to concerns about actual combat readiness [4][6] - The reliance on U.S. military equipment is increasing, with European NATO countries' arms imports rising by 105% from five years ago, 64% of which come from the U.S. [6][12] - European military industries are struggling to meet the demand for advanced military technology, particularly in areas like combat aircraft and naval systems, which are heavily reliant on U.S. technology [12][13]