Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The emergence of high-performance open-source large models has significantly lowered the barriers and costs for AI application innovation, driving the development of intelligent computing applications across various sectors such as finance, government, education, healthcare, and industry [7][14] - The report emphasizes the differentiated network connection requirements arising from the rapid growth of intelligent computing applications, highlighting the need for high bandwidth, low latency, and high reliability to support AI model training and inference [7][15] - The report proposes five key features for high-quality computing dedicated lines tailored for intelligent computing applications: intelligent perception, business certainty experience, elastic network on demand, intelligent operation and maintenance, and optical computing collaboration [7][15] Summary by Sections Overview - The proliferation of open-source large models since 2023 has disrupted the previous monopoly in the field, enabling rapid innovation in intelligent computing applications across various industries [14] - The report identifies the need for networks to perceive business types and provide differentiated connection capabilities to ensure optimal service experiences [14] Differentiated Dedicated Line Service Requirements for Intelligent Computing Applications Financial Intelligent Computing Applications - Financial institutions are leveraging AI for customer service, risk management, and operational efficiency, requiring high bandwidth and low latency for various applications [17][22] - Specific network requirements include: - AI service assistants: 5 Mbps bandwidth, latency < 5 ms, availability ≥ 99.99% [27] - Digital lobby managers: 200 Mbps bandwidth, latency < 2.5 ms, availability ≥ 99.99% [27] - AI financial compliance checks: 150 Mbps bandwidth, latency < 5 ms, availability ≥ 99.99% [27] - AI fraud detection systems: 5 Mbps bandwidth, latency < 5 ms, availability ≥ 99.99% [27] Government Intelligent Computing Applications - The report discusses the transition from basic digitalization to comprehensive intelligent governance, emphasizing the need for flexible network services to handle varying demands [29][33] - Network requirements include: - Intelligent government customer service: < 5 Mbps bandwidth, latency < 500 ms, availability ≥ 99.99% [38] - Intelligent traffic management: < 200 Mbps bandwidth, latency < 20 ms, availability ≥ 99.99% [38] - Intelligent environmental monitoring: 200 Kbps to 20 Mbps bandwidth, latency < 500 ms, availability ≥ 99.99% [38] Educational Intelligent Computing Applications - The report highlights the transformation in education through intelligent computing, with applications in personalized learning and automated assessment [39][43] - Network requirements include: - Smart classrooms: 100-500 Mbps bandwidth, latency < 25 ms, availability ≥ 99.99% [45] - Intelligent monitoring systems: ~4 Gbps bandwidth, latency < 5 ms, availability ≥ 99.99% [45] Healthcare Intelligent Computing Applications - The healthcare sector is increasingly adopting intelligent computing to enhance diagnostic accuracy and operational efficiency [46][49] - Network requirements include: - AI-assisted imaging: 10 Gbps bandwidth, latency < 10 ms, availability ≥ 99.9% [52] - AI-assisted diagnosis: 500 Mbps to 1 Gbps bandwidth, latency < 5 ms, availability ≥ 99.9% [52] Public Security Intelligent Computing Applications - AI is being integrated into public security to enhance risk identification and response capabilities [54][58] - Network requirements include: - AI video monitoring: 200 Mbps bandwidth, latency < 5 ms, availability ≥ 99.99% [60] - AI policing services: 20 Mbps bandwidth, latency < 50 ms, availability ≥ 99.99% [60] Entertainment Intelligent Computing Applications - The report discusses the digital transformation of the entertainment industry, particularly in cloud gaming and media production [66][67] - Network requirements include: - Cloud gaming: 120 Mbps bandwidth per user, latency < 1 ms [66] - 3D scene reconstruction: 1 Gbps bandwidth, latency < 1 ms [67]

Core Viewpoint - The company is actively expanding its business in HVLS fans, artificial intelligence, and smart governance, while facing challenges in revenue and profitability in the recent quarter [2][8]. Group 1: HVLS Fan Business - The HVLS fan business is the company's main revenue source, achieving a revenue of 244 million yuan in 2024 with a gross margin of 36.95% [2]. - The company holds a leading position in the domestic HVLS fan industry and aims to increase its overseas market share, which currently accounts for 23.31% of total revenue [2]. Group 2: Artificial Intelligence Initiatives - The company is leveraging its joint venture, Henan Yuzhi Kaile Intelligent Technology Co., Ltd., to advance AI applications in smart office, smart travel, and smart healthcare [3]. - The AI solutions provided are designed to ensure data security and compliance while enhancing operational efficiency [3]. Group 3: Smart Driving Collaboration - A cooperation agreement was signed with the Henan Provincial Automotive Industry Investment Group to promote digital and intelligent upgrades in the automotive sector, focusing on autonomous driving technology [4]. - The collaboration aims to develop technologies related to unmanned vehicles and logistics [4]. Group 4: Smart Governance Developments - In April 2025, the company launched a large model government integrated machine in collaboration with People's Daily Online, enhancing its offerings in smart governance [5]. - The "Deep Language Future" smart governance machine is designed for local deployment and ensures data security and compliance with government regulations [6]. Group 5: AI Medical Solutions - The AI medical segment focuses on providing various solutions for different medical applications, including smart hospital renovations and AI-assisted research platforms [7]. - Collaborations with major hospitals and health institutions are underway to enhance clinical and research capabilities using AI technologies [8]. Group 6: Financial Performance - In Q1 2025, the company reported a main revenue of 37.91 million yuan, a year-on-year decrease of 20.13%, while the net profit attributable to shareholders was -5.17 million yuan, an increase of 44.54% year-on-year [8]. - The company’s debt ratio stands at 16.59%, with investment income of 1.17 million yuan and a gross margin of 41.76% [8].