小熊跑的快
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美股ai应用有点反常
小熊跑的快· 2025-08-29 03:07
之前四个月美股的saas 走得很差 饱受折磨 但最近有两个意外出现了。 mdb 和snow! 之前的crm now都是高开低走。 但是mdb和snow 全部高开高走! 应用似乎在回温 仔细看了一下它们在 ai 创造收入了 比crm 受到大厂agent 挤压还有些些许差别 | 11:02 | ·Il 4G @ | | | | --- | --- | --- | --- | | SNOWFLAKE | | | | | W SNOW.N | | | | | 241.000 量 4216.7万 股本 3.34亿 | 市盈 -58 | 万得 盘口 | | | 40.610 20.27% 换 12.64% 市值1 804亿 | | 市净 33.90 | | | 盘后 239.600 -1.205 -0.50% | | 美东 19:59 ▼ | | | 盘中▼ 五日 目K 周K 月K | | 車名 | | | 叠加 | | 均价:238.112 | | | 249.942 | | 24.73% | | | 200.390 | | | 0.00% | MONGODB < ロ MDB.O 318.100 量 1072.6万 股 ...
两个行业carry全场
小熊跑的快· 2025-08-28 06:56
今天只剩两个板块carry全场了。 其它全都靠边站! 就是ai硬件 花式吊打一切。 不过今晚nv可能低开高走! | 14:37 | | | ·Il 4G @ | | | --- | --- | --- | --- | --- | | < W | | 板块眼踪 | . . . | (●) | | 概念 | 行业 | 地域 | 风格 | 核心 | | 热力图 1৮ | | | | | | 申万一级▼ | | 涨跌幅 ◆ | 资金净流入 | | | 通信(申万) | | 6.32% | 131.71亿 | 1878. | | 801770.SI | | | | | | 电子(甲万) | | 4.45% | 261.82 亿 | 5247. | | 801080.SI | | | | | | 国防军工(申万) | | 1.44% | 15.96亿 | 992. | | 801740.SI | | | | | | 计算机(申万) | | 1.13% | 38.79亿 | 3013. | | 801750.SI | | | | | | 有色金属(申万) | | 0.99% | 64.75亿 | 1348. | | 801 ...
英伟达 467/540亿美金
小熊跑的快· 2025-08-28 00:16
Core Viewpoint - The company reported strong financial results for FY26Q2, exceeding market expectations, but the stock price declined post-announcement due to high global expectations [2][8]. Financial Performance - FY26Q2 revenue reached $467.43 billion, a year-on-year increase of 56% and a quarter-on-quarter increase of 6%, surpassing market expectations of $462.31 billion [2]. - Net profit for FY26Q2 was $264.22 billion, up 59% year-on-year and 41% quarter-on-quarter [2]. - Diluted EPS for FY26Q2 was $1.08, reflecting a 61% year-on-year increase and exceeding market expectations of $1.01 [2]. Business Segment Performance - Data Center revenue for FY26Q2 was $410.96 billion, a 56% increase year-on-year but slightly below market expectations of $412.93 billion [3]. - Computing segment revenue was $338.44 billion, up 50% year-on-year, impacted by a $4 billion decrease in H20 sales [3]. - Networking segment revenue reached $72.52 billion, a 98% increase year-on-year, driven by new product launches [3]. - Gaming revenue for FY26Q2 was $42.87 billion, a 49% year-on-year increase, exceeding expectations [3]. - Professional Visualization revenue was $6.01 billion, a 32% increase year-on-year, slightly below market expectations [3]. - Autonomous driving revenue was $5.86 billion, a 69% increase year-on-year, also slightly below expectations [3]. Margin and Guidance - The company reported a gross margin of 72.4% for FY26Q2, higher than previous guidance of 71.8%, but down 2.7 percentage points year-on-year [4]. - Guidance for FY26Q2 gross margin is optimistic, expected to rise to 73.3% [4]. Product Developments - The Blackwell architecture contributed significantly to revenue, with a 17% quarter-on-quarter increase [5]. - New chips, including GB300, have started shipping, with production expected to ramp up [5]. - The company plans to introduce six new chips next year, with production already in progress [5]. Market Outlook - Capital expenditures are projected to grow to $600 billion, with AI infrastructure spending expected to reach $3-4 trillion by the end of the decade [6]. - The company has not yet sold H20 to Chinese customers but anticipates potential sales of $2-5 billion if geopolitical issues are resolved [6].
大哥英伟达 今晚出
小熊跑的快· 2025-08-27 03:40
数据中心预期413亿美金,gaming 38亿美金,其它专业设备 自动驾驶等5.3亿 5.9亿。 | AVDA NVDA US Equity 84-020 | | | | 图期 李报 | | | | 增长数据行:YOY | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | LE FUSDI 024.02 10 5 0 1 7974 GA 1025 01 | | | 2025 CP | 20 - 1 (33 | 20755 3 | 226 0 | 2026 02 Est | 2025 03 Est | | 照明可比每股收益,胶票报酬除外 0.27 0 4D 052 0.61 | | | 0.68 | 0.81 | 0.89 | 0.96 | 1.01 | 1.21 | | YOY Growth 429,41% 593.10% 486.36% 461.47% | | | 151,85% | 101:49% | 72.48% | 56,86% | 49.15% | 49.00% | | 倾测可比销售 13,507,00 18,120.00 22,10 ...
人工智能+行动 来了
小熊跑的快· 2025-08-26 14:19
Core Viewpoint - The article emphasizes the implementation of the "Artificial Intelligence +" initiative across six key areas to foster new productive forces and support China's modernization efforts, with specific goals set for 2027, 2030, and 2035 [1]. Group 1: Six Key Areas of "Artificial Intelligence +" - "Artificial Intelligence + Science and Technology": Accelerate scientific discovery processes and drive technological innovation [2]. - "Artificial Intelligence + Industry Development": Cultivate new models and business formats, promoting intelligent development across industrial and agricultural sectors [2]. - "Artificial Intelligence + Consumer Quality": Expand new service consumption scenarios and foster new product consumption formats, promoting intelligent terminal connectivity [2]. - "Artificial Intelligence + Welfare": Create intelligent work methods and more effective learning approaches to enhance quality of life [2]. - "Artificial Intelligence + Governance Capability": Establish a new paradigm of human-machine coexistence in social governance and create a multi-governance framework for safety [2]. - "Artificial Intelligence + Global Cooperation": Promote inclusive sharing of artificial intelligence and build a global governance system for AI [3]. Group 2: Fundamental Support Capabilities - Enhancing foundational model capabilities, innovating data supply, strengthening intelligent computing power coordination, and optimizing the application development environment are essential [4]. - Promoting a thriving open-source ecosystem, strengthening talent development, ensuring policy and regulatory support, and improving safety capabilities are also critical [4]. Group 3: Participation and Opportunities - The "Artificial Intelligence +" initiative allows for broad participation, with opportunities in ecosystems that seamlessly integrate business processes and quickly cultivate user habits to form network effects [5]. - The value of vertical data is significant, especially when high-quality user data continuously feeds back to improve model capabilities, creating a snowball effect [5]. - Talent development is crucial for the success of the initiative [6].
少了一个必要环节
小熊跑的快· 2025-08-25 02:11
周末吹国产芯片太狠了。各种角度,各种姿势吹,吹太过了。 但是真正深入研究过的人会发现,吹的太狠,但整个产业链少了一个必要环节! 代工厂!国产代工厂! 大部分人根本不知道3月国产芯片真正跌的原因(包括hwj)。 表观上是几个大厂capex不行,再深一步,发觉是h20断供! 所以3-5月国产算力跌的是"巧妇难为无米之炊",不是没需求,是没供给。看懂了吗? 现在要讲国产自主强的逻辑,上周五我们写个那篇也只点评ds 3.1适配国产FP8,需求会变好。这是个边 际变好。 但是没有解读一个东西,供给! 所以这个逻辑里面还有一环没补上!供给! 万众瞩目,需要一个东西,需要良率提升! 看懂了吗? 再进一步可以挖到台积电早断了所有你们想的到的代工!不然那么多大厂自研芯片 眼巴巴的望着国产 良率?它们都是大户。 ...
所有的人都亢奋了
小熊跑的快· 2025-08-22 10:29
Core Viewpoint - The recent surge in activity within investment groups, which had been dormant for three years, indicates a renewed interest and excitement among investors [1]. Group 1 - Investment groups that had previously seen minimal communication are now experiencing a significant increase in discussions about stocks, with conversations becoming more frequent and engaging [2].
V3.1适配了国产FP8 精度芯片
小熊跑的快· 2025-08-22 01:12
Core Viewpoint - The successful implementation of the deepseek R1 is attributed to the use of the FP8 data format within a fine-grained mixed precision framework, which allows most compute-intensive operations to be performed at FP8 precision while retaining original data formats for a few critical operations [1]. Group 1 - The previous libraries were optimized based on CUDA, giving NVIDIA cards an advantage, while domestic chips only supported FP16, resulting in a 37% efficiency loss when using R1 [1]. - The recent adaptation of FP8 for domestic chips is expected to reduce costs and benefit local hardware [1]. - Future advancements in both software and hardware are anticipated, with NVIDIA's B cards potentially lowering precision to FP4, while several domestic companies are expected to support native FP8 in their next-generation products [2]. Group 2 - The focus on low-cost solutions is aimed at expanding into global markets [3].