云计算服务公司Cloudflare(NET.US)夜盘大涨超16%，报209.3美元。 ...

消息面上，Cloudflare公布去年第四季度业绩，营收同比增长33.6%至6.145亿美元，超过分析师预期的 5.913亿美元；调整后每股收益为0.28美元，略超过分析师预期的0.27美元；毛利润同比增长28.8%至 4.526亿美元，毛利率为73.6%。随着各行各业竞相整合人工智能，带动云计算需求上升，企业将支出优 先用于数字基础设施。 云计算服务公司Cloudflare(NET.US)夜盘大涨超16%，报209.3美元。 展望今年首季，Cloudflare预计营收将在6.2亿至6.21亿美元之间，高于分析师预期的6.139亿美元。对于 今年全年，Cloudflare预计营收将在27.9亿至28亿美元之间，亦高于预期的27.4亿美元。(格隆汇) ...

Summary of Conference Call Notes Industry and Company Overview - The discussion centers around the AI and technology industry, specifically focusing on tools like Clawd Bot and multi-modal models such as Seedance 2.0, which are pivotal in the current AI landscape [1][2]. Key Points and Arguments 1. **Clawd Bot Usage and Token Consumption** - Clawd Bot serves as a model tool calling platform, allowing users to select large models (e.g., OpenAI, Google, MINIMAX, KIMI) and plugins (SKILLS) - The entry barrier for users has significantly lowered due to services from cloud providers like Alibaba Cloud and Tencent Cloud, with monthly rental costs as low as 30 yuan - The functionality has shifted from interactive dialogue to task-oriented tool calling, supporting local or cloud data storage [1][1][1]. 2. **Token Consumption in Different Scenarios** - In pure text interaction scenarios, high-frequency tool calls can lead to a surge in token consumption, with usage potentially reaching tens of millions of tokens weekly - Seedance 2.0 can generate videos in 15 seconds and supports simultaneous processing of video and audio, significantly increasing token consumption due to the complexity of multi-modal interactions [2][2][2]. 3. **Trends in Token Consumption and Necessity for Charging** - Since 2026, token consumption has seen explosive growth, with actual demand possibly exceeding initial expectations - For instance, ByteDance's original plan to increase daily token consumption from 40 trillion to 400 trillion (a tenfold increase) may be underestimated due to the prevalence of high-frequency tool calls and multi-modal applications [2][3][3]. 4. **Driving Factors for Token Consumption** - The proliferation of tools like Clawd Bot necessitates paid API calls for large models, as there are no free APIs available - Multi-modal models like Seedance 2.0 further amplify token consumption, leading to a shift away from the traditional free model towards a paid API model, indicating significant revenue potential for providers [3][3][3]. Additional Important Content 1. **Recommended AI Infrastructure Companies** - The surge in token consumption is driving demand for computing power, acceleration, and cloud services - Key recommendations include: - **Acceleration Services**: Wangsu Technology, which can optimize interaction delays for tools like Clawd Bot - **Cloud Providers**: Alibaba Cloud and Tencent Cloud, which hold significant influence in the AI ecosystem - **Domestic Computing Chip Companies**: Haiguang and Cambrian, which are positioned for long-term growth despite short-term market pessimism [3][3][3]. 2. **AI Animation Development and Related Stocks** - The efficiency of AI animation production has significantly improved, with a four-person team able to produce 120 minutes of high-quality content in just 10 days - Multi-modal models like Seedance 2.0 are further lowering production barriers [3][4][4]. 3. **Specific Stock Recommendations** - **Zhaochi Co., Ltd.**: Expected to benefit from the growing demand for AI video content production - **Wondershare Technology**: Launched AI video tools that support script generation and efficient content creation through external model calls [4][5][5].

Core Viewpoint - Cloudflare's stock surged over 14% after the company forecasted that its annual and first-quarter sales will exceed Wall Street expectations, driven by the rapid development of artificial intelligence technology which is increasing demand for its cloud services [1] Group 1: Financial Projections - Cloudflare expects its sales for 2026 to be between $2.79 billion and $2.8 billion, surpassing the previous expectation of $2.74 billion [1] - The company anticipates first-quarter sales to be between $620 million and $621 million, also above the expected $613.9 million [1] Group 2: Market Trends - The integration of artificial intelligence across various industries is leading to increased demand for cloud computing, as businesses prioritize spending on the digital infrastructure needed for this burgeoning technology [1] - The rise of AI agents, such as the recently renamed "OpenClaw," is expected to benefit Cloudflare, allowing users to securely route traffic to their private computers without compromising home network security [1] Group 3: Executive Insights - CEO Matthew Prince stated that the shift towards artificial intelligence and agents represents a fundamental re-platforming of the internet, driving demand for Cloudflare's services [1]

智通财经获悉，有着"互联网门神"称号的聚焦于"连接云(Connectivity Cloud)"定位的云计算服务公司Cloudflare Inc.(NET.US)，于北京时间周三晨间公布了强 于华尔街分析师平均预期的第四财季业绩，以及公布了高于华尔街分析师们在OpenClaw(曾用名：Clawdbot、Moltbot)爆火且病毒式蔓延之后近期不断上修 的2026财年Q1以及2026财年全年营收展望数据。在强劲业绩数据与营收展望推动之下，Cloudflare股价在美股盘后大幅飙升，涨幅一度超过14%， OpenClaw1月下旬迅速风靡全球之际曾推动Cloudflare股价三个交易日狂涨超过20%。 2025财年第四财季业绩报告显示，截至12月31日的第四财季，Cloudflare总营收大增34%至6.145亿美元，高于华尔街分析师们平均预期的约5.9亿美元—— 该项预期在近日同样被分析师们大幅上修，该公司Non-GAAP 准则下的每股收益约0.28美元，意味着同比大幅增长47%，高于华尔街平均预期的约0.27美 元。2025财年全年Cloudflare总营收同比增长30%至21.679亿美元。 其他的Q4核心业绩 ...

有着"互联网门神"称号的聚焦于"连接云(Connectivity Cloud)"定位的云计算服务公司Cloudflare Inc.(NET.US)，于北京时间周三晨间公布了强于华尔街 分析师平均预期的第四财季业绩， 以及公布了高于华尔街分析师们在OpenClaw(曾用名：Clawdbot、Moltbot)爆火且病毒式蔓延之后近期不断上修的 2026财年Q1以及2026财年全年营收展望数据。 在强劲业绩数据与营收展望推动之下， Cloudflare股价在美股盘后大幅飙升，涨幅一度超过14%， OpenClaw1月下旬迅速风靡全球之际曾推动Cloudflare股价三个交易日狂涨超过20%。 2025财年第四财季业绩报告显示， 截至12月31日的第四财季，Cloudflare总营收大增34%至6.145亿美元，高于华尔街分析师们平均预期的约 5.9亿美元——该项预期在近日同样被分析师们大幅上修 ，该公司Non-GAAP 准则下的每股收益约0.28美元，意味着同比大幅增长47%，高于华 尔街平均预期的约0.27美元。2025财年全年Cloudflare总营收同比增长30%至21.679亿美元。 有史以来最大规模的年度 ...

Core Viewpoint - The article emphasizes that the combination of the global wave and the artificial intelligence revolution presents significant opportunities for Chinese entrepreneurs, marking a new era of "AI+ going global" as a crucial theme for the future [3][5]. Group 1: AI and Global Expansion - The popularity of generative AI in China surpassed 35% in early 2024, indicating a significant breakthrough in AI technology adoption [3]. - The emergence of humanoid robots during the Spring Festival has brought attention to embodied intelligence, which is expected to become a trillion-dollar industry in China, succeeding the electric vehicle sector [3]. - The demand for cloud services has surged as Chinese companies increasingly view international expansion as a necessity rather than an option, with Alibaba Cloud projected to surpass AWS in growth index by 2025 [5]. Group 2: Stages of Chinese Companies Going Global - Chinese companies have undergone four waves of international expansion, with the current phase being characterized as "full-factor going global," where companies are not just exporting products but also relocating equipment, technology, talent, and capital [11][14]. - The first wave in the mid-1990s involved component manufacturers, followed by the second wave in the late 1990s with "Made in China" products. The third wave in the mid-2010s was marked by the rise of cross-border e-commerce [12][13]. - The current fourth wave sees AI companies inherently designed for global markets, diverging from previous models of internationalization [15]. Group 3: New Challenges for AI Companies - AI companies face unique challenges in their global expansion, as their initial setup is already geared towards international markets, unlike previous generations of companies [15]. - New entrepreneurs are leveraging AI technology to create products aimed at global markets from the outset, with companies like MiniMax achieving rapid success in overseas markets [16][18]. - Established companies like Meitu are also accelerating their international presence, with significant user growth driven by AI features [21][22]. Group 4: Complexities of Global Operations - Companies expanding internationally must navigate a complex landscape characterized by geopolitical tensions and a shift towards a multi-core world, which complicates standardization and compliance [28][29]. - The operational challenges include adapting to diverse regulatory environments and cultural differences across regions, necessitating flexible and adaptive strategies [30][35]. - AI companies require robust cloud infrastructure to support their global operations, with a focus on seamless deployment and compliance with local regulations [36][38]. Group 5: Role of Cloud Services - Alibaba Cloud has emerged as a leading choice for over 80% of Chinese companies going global, providing standardized global technology architecture and support [42]. - The company is investing significantly in AI infrastructure, with plans to establish data centers in multiple countries to support international operations [44]. - The future of cloud services will be critical for AI companies as they seek to establish a competitive edge in global markets, with a focus on operational efficiency and technological support [45][50].

对于2026财年全年，Cloudflare管理层预计全年度总营收区间为27.85亿美元至27.95亿美元，其区间中值同样高于华尔街分析师们不断上修的平均预期约 27.40 亿美元。Non-GAAP准则下的每股收益预期方面，Cloudflare管理层给出的2026财年第一财季Non-GAAP每股收益区间为0.23美元，对于2026财年全年 则为1.11美元至1.12美元，与分析师预期基本一致。 智通财经APP获悉，有着"互联网门神"称号的聚焦于"连接云(Connectivity Cloud)"定位的云计算服务公司Cloudflare Inc.(NET.US)，于北京时间周三晨间公布 了强于华尔街分析师平均预期的第四财季业绩，以及公布了高于华尔街分析师们在OpenClaw(曾用名：Clawdbot、Moltbot)爆火且病毒式蔓延之后近期不断 上修的2026财年Q1以及2026财年全年营收展望数据。在强劲业绩数据与营收展望推动之下，Cloudflare股价在美股盘后大幅飙升，涨幅一度超过14%， OpenClaw1月下旬迅速风靡全球之际曾推动Cloudflare股价三个交易日狂涨超过20%。 2025财年第四财季 ...

Cloudflare forecast annual and first-quarter sales above Wall Street estimates on Tuesday, betting on the rapid development of artificial intelligence technology to drive demand for its cloud services... ...

微软高管曾公开表示，抓取互联网内容训练AI属于"合理使用"。这种数据殖民主义思维，揭示了技术巨 头对数据主权的漠视。企业投入大量资源积累的数据资产，可能正成为他人模型的养料。 赛凡企业云盘为企业建立完全自主的AI运行环境。所有数据从生成、存储到处理全程留在企业内部， 彻底杜绝敏感信息外泄风险。 硬件一体化设计让部署变得简单。根据模型规模需求，赛凡提供从单卡RTX 4090到多卡A100/H100的完 整解决方案。企业无需担心复杂的硬件兼容性问题，真正实现开箱即用。 DeepSeek在企业内部的深度集成，展现出强大潜力。一家金融机构部署后，风控模型准确率提升11%， 而所有数据始终在合规边界内流动。 物理层面，数据存储在企业自有机房，从根源确保控制权。相比公有云无法知晓数据具体位置的情况， 私有云提供完全透明性。 当AI开始阅读你的合同、分析你的客户数据、处理你的财务报告时，你是否想过这些敏感信息正在"离 家出走"？ AI时代的数据主权危机正在悄然蔓延。许多企业为提升效率而拥抱AI，却无意中将核心数据暴露于第 三方平台。员工将销售合同粘贴至公共AI界面，财务数据通过API传输至云端，研发图纸被上传至在线 模型— ...