Investment Rating - The report does not explicitly provide an investment rating for the computing power scheduling platform industry. Core Insights - The rapid development of artificial intelligence technology has led to an exponential increase in global demand for computing power, necessitating computing power scheduling for resource integration and optimization across regions and platforms [2]. Summary by Sections Overview of the Computing Power Scheduling Industry - Computing power is defined as the ability of computer devices or data centers to process information, categorized into general computing power, intelligent computing power, and supercomputing power [15][18]. - China's computing power scale has grown rapidly, reaching 280 EFLOPS by 2024, with intelligent computing power accounting for 32% [20][23]. Challenges in Heterogeneous Computing Power Scheduling - Heterogeneous computing power scheduling faces multiple core challenges, including increased scheduling complexity due to resource heterogeneity and software environment fragmentation, high migration costs for cross-architecture tasks, and a lack of unified scheduling standards leading to resource mismatch and low utilization [4][43]. Major Domestic Computing Power Scheduling Platforms - National-level computing power scheduling platforms are primarily government-led or constructed by major operators, emphasizing cross-regional collaboration and market-oriented transactions [5][48]. - Provincial platforms cover key regions like the Yangtze River Delta and Chengdu-Chongqing, while municipal platforms focus on local AI and smart manufacturing scenarios [48]. Mainstream Open Source Computing Power Scheduling Technologies - Domestic computing power scheduling platforms are often built on open-source technologies, with openFuyao emerging as a versatile scheduling platform with advantages in domestic adaptation, while Kubernetes and Slurm have strong foundations in cloud-native and HPC fields [6][51].

Group 1 - The KubeCon+CloudNativeCon China 2025 conference was held in Hong Kong, focusing on the integration of cloud-native technologies and AI, featuring global open-source developers and industry leaders [1] - Huawei participated significantly in the conference, delivering three keynote speeches and over ten technical sessions, showcasing breakthroughs in the field of cloud-native and AI integration [1][3] - Open-source is recognized as a key driver for innovation, enabling faster development cycles and creating exponential value for the next technological revolution [1] Group 2 - Huawei's Chief Open Source Liaison Officer, Ren Xudong, discussed the evolution of computing clusters in the AI era, emphasizing the need for unified management of computing resources to support major AI frameworks [3] - Bilibili, with over 100 million monthly active users, has developed a cloud-native AI platform using Volcano and Karmada to optimize workload scheduling and enhance resource utilization [4][6] - iFlytek achieved significant improvements in AI model training efficiency by utilizing Volcano, increasing GPU utilization by over 40% and reducing fault recovery time by 70% [7][9] Group 3 - Karmada is highlighted as a multi-cloud management engine that addresses challenges in deploying AI tasks across multiple clusters, enhancing the reliability of large-scale data platforms [10][12] - KubeEdge, as a graduate project of CNCF, is recognized for its capabilities in edge computing, providing unified management and real-time advantages in various industry applications [14] - Kmesh, a cloud-native traffic management engine, utilizes eBPF technology to improve performance and reliability in handling large-scale traffic applications [16] Group 4 - openGemini, a high-performance time-series database, is designed for various industries, including IoT and aerospace, and aims to reduce business costs through efficient data storage and querying [18] - openFuyao focuses on building a diverse computing ecosystem to address the complexities of AI workloads, promoting effective resource management and scheduling [20] - Huawei continues to collaborate with global enterprises and developers to drive innovation in AI and cloud-native technologies, contributing to the intelligent transformation of various industries [20]

Core Insights - The KADC2025 event highlighted the growth of the Kunpeng and Ascend computing ecosystems, with over 6.65 million developers and more than 8,800 partners contributing to 23,900 solution certifications as of May 2025 [5][9] - The event focused on deep technical discussions and hands-on coding experiences, aiming to enhance developers' understanding and mastery of Kunpeng and Ascend tools to accelerate AI innovation [6][7] - Huawei is committed to building a robust and user-friendly computing foundation to support developers and partners in the AI era, emphasizing the importance of ease of use, flexibility, and scalability in AI platforms and tools [7][9] Event Highlights - KADC2025 featured two summits, over 40 technical forums, and a 2,000 square meter exhibition area showcasing collaborative innovations and industry applications [6] - The event included a series of new technologies, tools, and platforms, such as the Kunpeng AI+ solution and the openFuyao software community, aimed at enhancing AI application development [7] - The event also showcased practical applications of AI in various industries, including manufacturing and education, demonstrating significant efficiency improvements and cost reductions [10][11] Industry Trends - According to Gartner, by 2027, 80% of Chinese enterprises are expected to deploy multi-model generative AI locally, and by 2029, 60% will integrate AI into products and services, driving revenue growth [9] - The integration of AI into manufacturing processes is accelerating, with companies like Great Wall Motors demonstrating advanced AI applications in production efficiency [11] Developer Engagement - Huawei plans to implement incentive programs to stimulate innovation across the entire technology development and commercial application chain, focusing on talent cultivation through various initiatives [12][13] - The Ascend AI Innovation Competition has successfully engaged thousands of developers globally, fostering creative solutions that drive industry transformation [13]

Core Insights - The Kunpeng Ascend Developer Conference 2025 was successfully held in Beijing, focusing on promoting domestic computing power innovation and building a diverse software ecosystem [1] - Huakun Zhenyu showcased its AI full-stack solutions and emphasized collaboration with Huawei and other partners to enhance the AI development experience [1][4] Group 1: AI Development Solutions - Huakun Zhenyu presented its self-developed Yuanqi AI development platform, allowing developers to create intelligent agents and automate knowledge graph generation with zero coding [4] - The "Kaduoduo" AT9508 G3 inference server was highlighted, supporting the highest specifications in the ecosystem and enabling flexible deployment of domestic open-source models from 7 billion to 671 billion parameters [6] Group 2: Open Source Community - Huawei launched the openFuyao open-source community during the conference, with participation from several key organizations, including Huakun Zhenyu [8] - Huakun Zhenyu's executives were appointed to leadership roles within the community, indicating a commitment to long-term development and technical planning [8] Group 3: Future Directions - The company aims to address the fragmentation of industry model deployment through the Tianxun CubeX intelligent platform, enhancing resource utilization in computing clusters [10] - Huakun Zhenyu plans to continue its focus on "Kunpeng + Ascend" technologies, driving innovation in domestic computing power and providing diverse solutions for the AI era [10]

Investment Rating - The report maintains a "Positive" investment rating for the communication industry [11]. Core Insights - The communication sector experienced a decline of 1.85% in the 21st week of 2025, ranking 26th among primary industries in the Yangtze River region. Since the beginning of 2025, the sector has decreased by 4.71%, also ranking 26th [2][5]. - Recent releases of AI models, such as Google's Gemini 2.5 and Anthropic's Claude 4, continue to drive demand in data center communications, indicating a sustained positive outlook for AI and computing power [2][9]. - The current valuation of the telecommunications business segment remains low, suggesting a high cost-performance ratio for overall industry allocation [2]. Summary by Sections Market Performance - In the 21st week of 2025, the communication sector saw a 1.85% decline, with a year-to-date drop of 4.71%, both placing it 26th among primary industries [2][5]. - Among companies with a market capitalization above 8 billion, the top three gainers were Dongtu Technology (+14.5%), Haige Communication (+12.8%), and Mengwang Technology (+11.7%). The largest decliners were Lian Te Technology (-10.5%), Taicheng Light (-10.2%), and Cambridge Technology (-8.9%) [5]. AI and Computing Power Developments - Google's annual developer conference introduced the Gemini 2.5 series, enhancing multi-modal capabilities and platform integration, which is expected to bolster the AI ecosystem [6]. - Anthropic launched the Claude 4 series, focusing on coding capabilities and tool usage, with the Claude Code programming assistant now operational [7]. - Huawei's KADC 2025 emphasized the integration of AI and computing power, showcasing advancements in their software and hardware platforms [8]. Investment Recommendations - The report recommends focusing on several key players: - Telecom Operators: China Mobile, China Telecom, China Unicom [9]. - Optical Modules: Zhongji Xuchuang, Xinyi Sheng, Tianfu Communication, with a focus on Taicheng Light and Shijia Photon [9]. - Domestic Computing Power: Fenghuo Communication, Huafeng Technology, Yingweike, Runze Technology, Guangxun Technology, ZTE, and Unisplendour, with attention to Kehua Data and Aofei Data [9]. - IoT: Heertai, Tuobang, Yiyuan Communication, Meige Intelligent, and Aojie Technology [9]. - Satellite Applications: Haige Communication and Huace Navigation, with a recommendation to monitor Chengchang Technology [9].

Group 1 - The core viewpoint of the articles highlights Huawei's commitment to continuous investment in core technology innovation and system architecture innovation to build an open and prosperous computing industry ecosystem [1] - As of May 2025, Huawei's Kunpeng and Ascend processors have developed over 6.65 million developers and more than 8,800 partners, completing over 23,900 solution certifications [1] - The rapid development of AI technology is accelerating industry intelligence, making the usability, flexibility, and scalability of AI platforms and tools essential for AI development, deployment, and operation [1] Group 2 - Huawei officially launched the Kunpeng AI+ solution for the general computing field and released a diversified computing cluster software open-source community called openFuyao [1] - The Ascend supernode architecture breaks through traditional cluster interconnection bottlenecks, achieving efficient collaboration between nodes and allowing computing clusters to operate as a powerful single computer [2] - The architecture supports the industry's largest scale 384-card high-speed bus interconnection system, which can enhance training performance by three times, significantly improving overall computing efficiency for large-scale AI tasks [2]

Core Insights - The KADC2025 conference showcased a series of new technologies, tools, and platforms aimed at enabling partners and developers for efficient development [1] - Huawei's ecological strategy emphasizes "hardware openness, software open-source, enabling partners, and talent development," focusing on core technology and system architecture innovation [1] - As of May 2025, over 6.65 million developers and more than 8,800 partners have been engaged, with 23,900 solutions certified [1] Group 1 - The Kunpeng AI+ solution was officially launched, along with the open-source community openFuyao for diverse computing cluster software [1] - The AI Core segment introduced the Kunpeng+xPU inference solution, compatible with Ascend and other domestic GPUs, covering scenarios from data centers to edge computing [1] - AI Infra components were released, enhancing data processing and retrieval capabilities with improved performance and security [1] Group 2 - AI application capabilities were presented, including business orchestration, deployment, and scheduling, aimed at building end-to-end AI solutions for enterprises [2] - The Kunpeng RAG solution 1.0 was launched, creating an open ecosystem for RAG business orchestration, AI microservices, deployment, scheduling, security, and storage [2] - The openFuyao project focuses on "cloud-native + AI," providing diverse computing interconnect management and scheduling capabilities [2] Group 3 - Ascend introduced the CATLASS operator template library, MindIE Motor inference service acceleration library, and inference microservice MIS, enhancing the ease of operator development and application deployment [2] - Continuous upgrades to the layered open CANN capabilities and the MindSpeed RL reinforcement learning suite were announced, improving model training and inference efficiency [2]

Core Insights - The Kunpeng Ascend Developer Conference 2025 (KADC2025) was held in Beijing, where a series of new technologies, tools, and platforms were launched [1] - Kunpeng officially introduced the Kunpeng AI+ solution and open-sourced the diverse computing cluster software community openFuyao, aiming to build an excellent engine for the AI era [1] - Ascend released the CATLASS operator template library, MindIE Motor inference service acceleration library, inference microservice MIS, and continued to upgrade the layered open capabilities of CANN, MindSpeed RL reinforcement learning suite, and large-scale expert parallel inference solutions [1] Company Strategy - Huawei's ICT Marketing Department Head Zhou Jun emphasized the company's commitment to an ecosystem strategy of "hardware openness, software open-source, enabling partners, and developing talent" [1] - The company continues to invest in core technology innovation and system architecture innovation, collaborating with partners and developers to create an open and prosperous computing industry ecosystem [1] Developer and Partnership Growth - As of May 2025, Kunpeng and Ascend have developed over 6.65 million developers and more than 8,800 partners, completing over 23,900 solution certifications [1] - Huawei is focused on building a solid and user-friendly computing foundation to empower developers and partners, accelerating industry intelligence [1]