Core Insights - The Chinese edge cloud industry is experiencing rapid growth, with a market size projected to reach 12.87 billion yuan in 2024, representing a year-on-year increase of 19.61% [1][9] - This growth is primarily driven by the commercialization of 5G technology, the increasing number of IoT devices, and the acceleration of digital transformation [1][9] Industry Overview - Edge cloud is a distributed cloud computing architecture that deploys computing, storage, and network resources closer to data sources or end users, characterized by low latency, localized autonomy, and a distributed architecture [2] Industry Value Chain - The upstream of the edge cloud industry includes core components such as edge servers, gateways, AI chips, smart network cards, GPUs, and storage devices, while the midstream consists of edge cloud service providers and platform operators [4] - The downstream applications span various sectors including connected vehicles, smart transportation, industrial internet, smart security, healthcare, smart homes, and finance [4] Market Size - The edge cloud market in China is expected to grow significantly, with the 2024 market size estimated at 12.87 billion yuan, driven by 5G technology, IoT proliferation, and the need for efficient data processing [9] Key Companies and Competitive Landscape - The competitive landscape of the edge cloud industry is characterized by a collaborative competition model, with major players like Alibaba Cloud, Huawei Cloud, and Tencent Cloud leading the market [10] - Telecom operators such as China Mobile and China Unicom leverage their 5G networks to build edge nodes, while vertical service providers like Wangsu Technology focus on CDN and edge computing integration [10][11] Industry Development Trends 1. **Technological Integration**: The edge cloud will increasingly integrate with 5G-A/6G, AI models, and blockchain technologies to create a collaborative intelligent computing network [13] 2. **Vertical Scene Deepening**: Edge cloud applications will deepen in sectors like smart manufacturing and smart cities, expanding into emerging fields such as the metaverse and digital twins [14] 3. **Collaborative Development**: The edge cloud industry chain will form a collaborative ecosystem, accelerating globalization and enhancing China's technological competitiveness [16]

Core Insights - The company reported a revenue of 2.351 billion yuan for the first half of 2025, representing a year-on-year growth of 2.19% [1] - The net profit attributable to shareholders reached 373 million yuan, showing a significant increase of 25.33% year-on-year [1] - Operating cash flow net amount was 376 million yuan, reflecting a robust growth of 52.41% compared to the previous year [1] Business Development - The company achieved notable progress in overseas market expansion, security business development, and technological innovation [1] - It actively expanded into Southeast Asia and the Middle East, establishing a subsidiary in Dubai to enhance overseas service capabilities [1] - The company focused on its core businesses of CDN and edge computing, optimizing its business structure by divesting from MSP operations and selling shares in Cloudsway Pte. Ltd. [1] Security Business - The security business segment generated revenue of 646.71 million yuan in the first half of 2025, marking a year-on-year increase of 13.96% [1] - The company launched a deep assessment service for large model security, providing a comprehensive security solution for large language models and AI applications [2] - The company was positioned as a leader in the IDC MarketScape for Chinese intelligent security access service edge vendors in 2025 [2] Technological Innovation - The company upgraded its next-generation edge AI platform, focusing on a four-layer capability matrix of "resources-model-services-applications" [2] - It developed core products such as edge AI gateways, edge model inference, and edge AI applications, enhancing its technical strength and market competitiveness in edge computing [2] - The company introduced a restricted stock incentive plan in 2025, with share-based payment costs amounting to 65.58 million yuan, an increase of 19.10 million yuan year-on-year [2] Company Overview - Founded in January 2000, the company aims to become a global leader in IT infrastructure services [2] - It leverages core technologies and service capabilities in computing, storage, networking, and security to provide efficient, stable, and secure IT infrastructure and services for internet, government, and enterprise clients [2]

Core Viewpoint - Wangsu Technology Co., Ltd. reported a revenue of 2.351 billion yuan for the first half of 2025, reflecting a year-on-year growth of 2.19%, with net profit increasing by 25.33% to 373 million yuan, indicating strong operational capabilities and a solid business foundation [1] Group 1: Financial Performance - The company achieved a gross profit of 786 million yuan, up 7.71% year-on-year [1] - The net profit attributable to shareholders reached 373 million yuan, marking a 25.33% increase [1] - The non-recurring net profit was 261 million yuan, showing a growth of 22.53% year-on-year [1] Group 2: Business Segments - The company disclosed its security business revenue for the first time, which amounted to 645 million yuan, representing a year-on-year growth of 13.96% [1] - The growth in revenue and net profit is attributed to the performance of the newly disclosed security business and steady development in overseas markets [1] Group 3: Security Business Development - Wangsu's security brand has evolved since 2011, launching key products like Cloud Anti-D and Cloud WAF, and has undergone a brand upgrade in 2021 with a 1 billion yuan investment [2] - The security business has introduced a comprehensive security assessment service covering multiple dimensions, including model output security and data security [2][3] - The company was recognized as a leader in the IDC MarketScape for SASE services in China, highlighting its industry authority [2] Group 4: Edge AI Platform - The company upgraded its edge AI platform, creating a four-layer capability matrix that includes edge AI gateways and applications [4] - A new lightweight edge cloud host was launched, designed for various business scenarios such as AI proxy search and cross-border e-commerce [4] Group 5: International Expansion - The company is actively expanding into overseas markets, particularly in Southeast Asia and the Middle East, to drive business growth [5] - A subsidiary was established in Dubai to enhance local service capabilities and adapt to regional market demands [5]

Core Insights - The company reported a revenue of 2.351 billion yuan for the first half of 2025, representing a year-on-year growth of 2.19% [1] - The gross profit reached 786 million yuan, with a year-on-year increase of 7.71% [1] - The net profit attributable to shareholders was 373 million yuan, showing a significant year-on-year growth of 25.33% [1] - The company disclosed its security business revenue for the first time, which amounted to 645 million yuan, reflecting a growth of 13.96% [1] - The growth in revenue and net profit indicates the company's solid core business foundation and operational capabilities [1] Security Business Development - The security brand, launched in 2011, has introduced key products such as Cloud Anti-D and Cloud WAF, which have been validated in the market [2] - In 2021, the company upgraded its security brand and announced a 1 billion yuan investment, promoting a "systematic proactive security" concept [2] - The security business has released a deep assessment service for large models, covering multiple dimensions of security, aiding enterprises in building AI application ecosystems [2][3] - The company was recognized as a leader in the IDC MarketScape for Chinese intelligent security access services in 2025 [2] Edge AI Platform Advancement - The company upgraded its edge AI platform, focusing on a four-layer capability matrix: resources, models, services, and applications [4] - New products include the edge AI gateway and lightweight edge cloud host, designed to facilitate AI deployment and meet light computing needs [4] - The company is expanding its overseas market presence, particularly in Southeast Asia and the Middle East, to enhance local service capabilities [4]

Core Insights - The competition in the AI large model sector is shifting towards AI inference, marking the beginning of the AI inference era, with edge computing emerging as a new battleground in this field [1][2]. AI Inference Era - Major tech companies have been active in the AI inference space since last year, with OpenAI launching the O1 inference model, Anthropic introducing the "Computer Use" agent feature, and DeepSeek's R1 inference model gaining global attention [2]. - NVIDIA showcased its first inference model and software at the GTC conference, indicating a clear shift in focus towards AI inference capabilities [2][4]. Demand for AI Inference - According to a Barclays report, the demand for AI inference computing is expected to rise rapidly, potentially accounting for over 70% of the total computing demand for general artificial intelligence, surpassing training computing needs by 4.5 times [4]. - NVIDIA's founder Jensen Huang predicts that the computational power required for inference could exceed last year's estimates by 100 times [4]. Challenges and Solutions in AI Model Deployment - Prior to DeepSeek's introduction, deploying and training AI large models faced challenges such as high capital requirements and the need for extensive computational resources, making it difficult for small and medium enterprises to develop their own ecosystems [4]. - DeepSeek's approach utilizes large-scale cross-node expert parallelism and reinforcement learning to reduce reliance on manual input and data deficiencies, while its open-source model significantly lowers deployment costs to the range of hundreds of calories per thousand calories [4]. Advantages of Edge Computing - AI inference requires low latency and proximity to end-users, making edge or edge cloud environments advantageous for running workloads [5]. - Edge computing enhances data interaction and AI inference efficiency while ensuring information security, as it is geographically closer to users [5][6]. Market Competition and Player Strategies - The AI inference market is rapidly evolving, with key competitors including AI hardware manufacturers, model developers, and AI service providers focusing on edge computing [7]. - Companies like Apple and Qualcomm are developing edge AI chips for applications in AI smartphones and robotics, while Intel and Alibaba Cloud are offering edge AI inference solutions to enhance speed and efficiency [7][8]. Case Study: Wangsu Technology - Wangsu Technology, a leading player in edge computing, has been exploring this field since 2011 and has established a comprehensive layout from resources to applications [8]. - With nearly 3,000 global nodes and abundant GPU resources, Wangsu can significantly improve model interaction efficiency by 2 to 3 times [8]. - The company's edge AI platform has been applied across various industries, including healthcare and media, demonstrating the potential for AI inference to drive innovation and efficiency [8].