国产 AI 算力进展汇报 20250622 摘要 H20 断供初期引发市场对 AI 算力芯片供给的担忧，导致短期资本开支下 调和招标延缓，尤其以 2025 年第二季度最为严峻，主要受英伟达新款 芯片不确定性和中芯国际产能影响。但第三季度起，AI 芯片供给边际改 善，利好国产算力板块。 英伟达 B30、B40 入华进展是市场关注焦点，若第三季度相关厂商能顺 利拿到板卡并测试（尤其带有 Nvlink），巨头可能规模下单，缓解部分 缺芯问题。这两款芯片虽算力低于 H20，但 Nvlink 对巨头仍具吸引力。 算力租赁市场发展顺利，主要用于训练，租用卡型号逐步升级至更高性 能型号，为解决短期缺芯问题提供重要途径。这缓解了因 H20 断供带来 的部分算力压力。 中芯国际 2025 上半年产能受阻，但 7 月起逐步修复，预计第三季度产 能将复苏。H20 断供后，国产卡需求增加，巨头通过自研或加单国产芯 片弥补缺口，预计 2026 年国内产能释放将迎来机会。 国内巨头对 AI 投资决心坚定，算力投入与公有云营收增长息息相关。阿 里云和腾讯云最新财报显示快速增长，持续投入新的算力资源是刚性需 求，总服务器需求甚至有所提升。 ...

针对近日舆论关注的演员那某某茜有关情况，内蒙古自治区相关部门成立联合工作组开展核查工作。 整理 ｜娃娃菜 点击上方【36氪随声听】，一键收听大公司热门新闻。听完音频记得添加进入 【我的小程序】 中哟！ PPIO 6月20日，据港交所文件显示，中国领先的独立分布式云计算服务商PPIO向港交所递交上市申请，联席保荐人为工银国际、申 万宏源香港。 北京极智嘉科技 36氪获悉，据港交所，北京极智嘉科技6月22日向港交所提交聆讯后上市文件，摩根士丹利与中金公司为其联席保荐人。 蓝思科技 36氪获悉，据港交所，蓝思科技向港交所提交聆讯后上市文件。 长乐控股有限公司 36氪获悉，据港交所，长乐控股有限公司向港交所提交上市文件。 近日，网红大蓝的妻子大叶子炫富引发关注。她称自己家位于杭州一千多平方米的别墅每年电费高达40万，超过一家小型工 厂。目前，大叶子的抖音账号因违反相关法律法规和政策被禁言，当前粉丝为81.8万。 记者浏览发现，大叶子的直播和短视频作品中曾不止一次提及其新装修好的豪宅。据其透露，别墅装修费高达8000万元，墙上 安装有价值800万的兰博基尼、140万的铂金餐桌是"全网唯一正品"、家里用的景泰蓝大理石2万 ...

Group 1 - The core viewpoint of the report is that global foreign direct investment (FDI) continues to decline, with a projected decrease of 11% to approximately $1.5 trillion in 2024, marking the second consecutive year of decline [1][2] - The decline in international project financing (IPF) is particularly severe for developing countries, with a projected drop of 26% in 2024, which is the third consecutive year of significant decline [2][3] - Investment related to sustainable development goals (SDGs) has also seen substantial decreases across various sectors, including a 23% drop in renewable energy investments, a 35% decline in infrastructure investments, and a 30% decrease in water, sanitation, and hygiene projects [2][3] Group 2 - The digital economy is highlighted as the only growth area, with international investment in this sector expected to double in 2024, focusing on data centers, artificial intelligence (AI), cloud computing, and cybersecurity [2][3] - However, there is a notable imbalance in the distribution of digital economy investments, with most funds concentrated in a few countries like China and the United States, leaving structural weak economies marginalized [3] - The report emphasizes the need for a shift in investment direction and global cooperation to achieve equitable and sustainable development, advocating for the integration of digital strategies with industrial policies and sustainable development goals [4]

Core Insights - The summit focused on the theme "Huawei Cloud Stack, Understanding Government and Enterprise in the Intelligent Era," highlighting the importance of AI technology in driving digital transformation for government and enterprise clients [1] - Huawei Cloud aims to enhance its AI cloud service products and solutions, collaborating with clients to implement AI technology across various business scenarios [1][3] - The company recognizes the diverse needs of government and enterprise users, categorizing them into four distinct roles to better tailor its offerings [4] Group 1: AI and Digital Transformation - Government and enterprise clients are increasingly adopting AI technologies for applications such as smart customer service, process optimization, safety supervision, and digital marketing [1] - Huawei Cloud's mixed cloud solutions are designed to support the digital transformation needs of these clients, providing over 120 cloud services and more than 50 scenario-based solutions [3] - The company emphasizes the importance of leveraging vast amounts of industrial, financial, and public data in China to foster AI industry growth [3] Group 2: User-Centric Approach - Huawei Cloud Stack has developed a comprehensive approach to support different user roles, including data center engineers, data engineers, AI algorithm model application engineers, and application development engineers [4] - The company is set to launch a mixed cloud solution compatible with CloudMatrix 384 super nodes, enabling clients to have their own cloud super nodes locally [4] Group 3: Case Studies and Applications - Xiangtan Steel Group, in collaboration with Huawei, launched the world's first steel industry large model, establishing a unified AI training center to enhance operational efficiency [5] - Chengdu Urban Investment Digital Group is building a trusted data space to empower the city's digital transformation, focusing on data integration and new business models [6] Group 4: Future Directions and Innovations - Huawei Cloud Stack is enhancing its capabilities in large model mixed cloud solutions, addressing challenges in computing power management and AI toolchain development [7] - The release of the white paper on "Government and Enterprise AI Platform Architecture and Application Practices" aims to provide a reference framework for clients to plan their AI platform construction effectively [7]

Core Viewpoint - PPIO, founded by Yao Xin, is preparing for an IPO on the Hong Kong Stock Exchange, aiming to capitalize on the growing demand for distributed cloud computing and AI services [2][5]. Company Overview - PPIO was established in 2018 as an independent distributed cloud computing service provider, with its parent company PPLabs Technology Limited registered in the Cayman Islands in 2019 [5]. - Yao Xin, the founder and CEO, previously founded PPTV, a video platform that raised over $700 million before being sold to Suning in 2014 [5]. - PPIO has received angel investments from notable figures and institutions, including Wang Xiaochuan and Panlin Fund [5]. Financial Performance - PPIO's revenue for 2022, 2023, and 2024 was approximately RMB 286 million, RMB 358 million, and RMB 558 million, respectively, with a compound annual growth rate (CAGR) of 39.7% [11]. - The company reported losses of RMB 850 million, RMB 1.894 billion, and RMB 2.935 billion for the same years, totaling approximately RMB 5.68 billion in cumulative losses [11]. - Adjusted net losses were RMB 39.13 million, RMB 37.08 million, and RMB 61.62 million, totaling around RMB 138 million [12]. Business Segments - PPIO operates primarily in two segments: edge cloud services and AI cloud services, with partnerships including major telecom operators and Alibaba Cloud [8]. - In the fiscal year 2024, revenue from edge node services accounted for 70%, edge CDN for 28.1%, and AI cloud services for 1.9% [12]. Market Potential - The edge cloud computing market in China is projected to reach RMB 37 billion by 2029, with a CAGR of 22.9% from 2024 to 2029 [10]. - The global AI cloud computing market is expected to reach RMB 427.7 billion by 2029, with a CAGR of 68.5% during the same period [10]. - PPIO claims to be one of the earliest independent providers of AI cloud computing services in China, with significant growth in token consumption from 27.1 billion to 141.9 billion between December 2024 and May 2025 [10]. Future Outlook - Yao Xin anticipates a significant reduction in AI inference costs and believes distributed computing will drive the next wave of development [15]. - The company plans to use IPO proceeds to enhance its technology capabilities, expand its market presence, and support overseas growth [16].

Core Viewpoint - Amazon's CEO Andy Jassy anticipates a reduction in the company's workforce in the coming years as the company increasingly utilizes AI technology to handle more tasks [1][2]. Group 1: Impact of AI on Workforce - Jassy expressed that generative AI and AI-driven software agents will inevitably change the way work is conducted, leading to a decrease in the number of employees needed for certain existing jobs while increasing the need for other types of work [2]. - The company expects that the widespread application of AI will result in an overall decline in employee numbers, although the long-term net effect remains uncertain [2][5]. - Concerns about AI replacing human workers have been prevalent since the rise of AI technology, with companies like Shopify and Duolingo already taking steps to limit human roles in favor of AI [2]. Group 2: Amazon's AI Investments - Amazon has been investing heavily in AI, particularly in logistics and headquarters roles, with projects including Alexa, shopping assistants, and tools sold through Amazon Web Services [3]. - Internally, AI tools are being utilized for inventory management, customer service, and product listings, with Jassy encouraging employees to experiment with AI as much as possible [4]. Group 3: Employment Statistics - As of March 2023, Amazon is the second-largest private employer in the U.S. after Walmart, with a total of 1.56 million employees, the majority of whom work in warehouses, while approximately 350,000 are involved in corporate roles [5].

值得一提的是，5月30日，证券时报·券商中国记者从华为获悉，华为在MoE模型训练领域再进一步，重 磅推出参数规模高达7180亿的全新模型——盘古Ultra MoE，这是一个全流程在昇腾AI计算平台上训练 的准万亿MoE模型。同时，华为发布盘古Ultra MoE模型架构和训练方法的技术报告，披露众多技术细 节，充分体现了昇腾在超大规模MoE训练性能上的跨越。 据悉，训练超大规模和极高稀疏性的MoE模型极具挑战，训练过程中的稳定性往往难以保障。针对这一 难题，华为盘古团队在模型架构和训练方法上进行了创新性设计，成功地在昇腾平台上实现了准万亿 MoE模型的全流程训练。 "一年以来，盘古大模型深入行业解难题，在30多个行业、500多个场景中落地。"6月20日下午，在华为 开发者大会2025上，华为常务董事、华为云计算CEO张平安分享了盘古大模型在工业、农业、科研等领 域的丰富创新应用和落地实践，并重磅发布盘古大模型5.5，在自然语言处理、多模态等5大基础模型全 面升级，加速重塑千行万业。 会上，华为云还发布了盘古医学、金融、政务、工业、汽车五个具备深度思考能力的行业自然语言大模 型，加速行业智能化，并将在6月底正式上 ...

盘古CV大模型升级为业界最大的300亿参数MoE视觉大模型，并支持多维度泛视觉感知、分析和决策。 中国石油"昆仑大模型"在装备制造领域攻克亚毫米级缺陷识别难题，效率提升约40%。 盘古科学计算大模型加速拓展与更多科学应用领域的结合，如基于盘古大模型的深圳气象局"智霁"实现 AI集合预报，重庆气象局"天资·12h"强化灾害预警，能源企业通过盘古大模型提升风光水发电预测精 度。 "一年以来，盘古大模型深入行业解难题，在30多个行业、500多个场景中落地。"6月20日下午，在华为 开发者大会2025上，华为常务董事、华为云计算CEO张平安分享了盘古大模型在工业、农业、科研等领 域的丰富创新应用和落地实践，并重磅发布盘古大模型5.5，自然语言处理、多模态等5大基础模型全面 升级，加速重塑千行万业。 △盘古大模型5.5正式发布 在自然语言处理方面，盘古NLP大模型发布718B MoE混合专家模型，在知识推理、工具调用等领域达 到业界第一梯队，在高效长序列、低幻觉、快慢思考融合、Agent等特性上进行升级，提升用户体验。 盘古大模型基于昇腾云的全栈软硬件训练，这标志着基于昇腾可以打造出世界一流大模型。 基于盘古多模态大模 ...

【环球网科技综合报道】6月20日消息，近日，在2025亚马逊云科技中国峰会上，上海合合信息科技股份有限公司（以下简称"合合信息"）发布了业内首个 AI Agent跨平台云资源智能管理终端Chaterm。该解决方案通过构建"对话式终端管理工具"，为云计算从业人士开辟云资源智能化和规模化管理新路径，目 前其核心代码已全面开源。 而针对大规模的服务器管理痛点，与其他智能CLI Agent相比，Chaterm搭载了批量管理远程服务器的能力。其通过自动"记忆"用户的操作习惯，用户无需 ROOT权限，即可在任意远程主机上实现个性化的语法高亮或自定义的快捷命令，实现"一次配置，多端通用"的便捷体验。同时，Chaterm还具有跨平台兼 容性，可一键安装，支持MAC，WINDOWS，LINUX等操作系统，以此降低企业混合IT环境下的运维管理复杂度。 值得一提的是，在数据安全方面，为了保护用户隐私，合合信息宣布全面开源Chaterm核心代码。基于此，开发者可以直接观察算法底层运行逻辑，并根据 实际需求进行定制化修改，实现云资源管理领域"透明可控，安全可信"。随着Chaterm的正式发布，合合信息方面表示，将继续探索AI技术与产业 ...

Group 1 - The release of Claude 3.7 and 4 has positioned it as a strong competitor to OpenAI's O1 series models, with daily token usage nearly equalizing [1] - There is a clear division in the model ecosystem, with AWS not promoting OpenAI's GPT series and Google Cloud supporting Claude while avoiding GPT series [2] - Trainium 2 can currently support a 60,000 card cluster, and its promotion is aggressive, while Inferentia has not seen updates for a long time, with Trainium 3 expected by year-end [3] Group 2 - Amazon is recognized as the largest and most reliable cloud provider based on CPU computing, continuously reducing costs [4] - There are three layers for application development: GPU-based SageMaker, integrated platform for basic model API calls called Bedrock, and a high-level user interface referred to as Q [4]