在合作方面，公司算力业务客户结构多元，与诸多优秀公司存在良好合作关系。对于后续合同拓展节 奏，公司称将持续紧密跟进市场需求，积极开拓境外业务，业务及业绩情况以公告为准。 智算中心建设及运营项目按实际情况有序推进，盈利实现情况以定期报告为准。算力运营服务多为以年 为单位的中长期合同，客户结构多元、均衡。 声明：市场有风险，投资需谨慎。 本文为AI大模型基于第三方数据库自动发布，任何在本文出现的信 息（包括但不限于个股、评论、预测、图表、指标、理论、任何形式的表述等）均只作为参考，不构成 个人投资建议。受限于第三方数据库质量等问题，我们无法对数据的真实性及完整性进行分辨或核验， 因此本文内容可能出现不准确、不完整、误导性的内容或信息，具体以公司公告为准。如有疑问，请联 系biz@staff.sina.com.cn。 宏景科技于2025年9月19日15:30 - 17:00，通过全景网"全景路演"（https://rs.p5w.net）参加2025年广东上 市公司投资者网上集体接待日活动，接受线上投资者调研。参与接待的公司人员包括董事长欧阳华、副 总经理兼财务总监夏明以及董事会秘书张铁舰 。 此次投资者关系活动类别 ...

Summary of BlueYun Technology Conference Call Company Overview - BlueYun Technology is recognized as a national-level specialized "little giant" enterprise with 117 software copyrights and 18 invention patents, boasting over 40,000 square meters of available computing power. The company focuses on providing computing cloud services, 3D solutions, and computing operation services for large internet companies and AI model demand enterprises [2][3][12]. Core Business and Services - The main business segments include: 1. **Computing Cloud Services**: Targeting large internet enterprises and cloud service providers with AI model training and inference needs. 2. **3D Solutions**: Including private deployment, high-performance computing solutions, and next-generation AI data center design and implementation. 3. **Computing Operation Services**: Providing market promotion, agency operation, and technical services for small-scale or idle computing resources [5][14]. Strategic Developments - The company has developed an original ecological computing center operating system that integrates heterogeneous computing power, scheduling, and AI collaborative development into a full-stack product matrix, aiming to establish a next-generation AI computing operation ecosystem [2][3][6]. - BlueYun has set up subsidiaries in Qingyang and Wuhan to establish a computing hub in central and western China, aligning with the national "East Data West Computing" strategy [3][28]. Financial Performance - In 2024, the company experienced rapid revenue growth, but net profit growth was slower due to weakened market demand, high equipment procurement costs, and increased R&D investments in new AI collaborative development platforms [2][12]. - The gross margin in the GPU computing service sector declined due to market confidence fluctuations and high equipment costs, with a significant order from China Mobile expected to start generating revenue in 2025 [3][15]. Customer Base and Market Trends - The primary customer groups include large language model companies, small to medium-sized AI developers, startups, and end-users. The demand for computing power from C-end users is rapidly increasing [2][7][8]. - The company anticipates a shift in revenue structure towards cloud services, aiming for over 50% growth in 2025 and 2026 [3][22]. Technological Innovations - The original ecological platform developed by BlueYun integrates various advanced technologies and provides comprehensive support for AI model companies and individual users [9][10]. - The company is leveraging its proprietary heterogeneous computing scheduling technology, which is expected to show its value as the market matures [19][20]. Industry Position and Competitive Landscape - BlueYun Technology differentiates itself from competitors like Parallel Technology by focusing on GPU-based services for AI model training and inference, while Parallel Technology relies more on CPU-based supercomputing [26]. - The company is actively engaging with leading universities and innovation hubs to support emerging technologies and foster new business opportunities [33]. Future Outlook - The company expects to maintain a strong growth trajectory in its main business areas, with a focus on cloud services and computing solutions. The anticipated growth rate for 2025 is projected to exceed 50% [22][32]. - The overall sentiment in the AI industry is optimistic, with expectations for significant advancements and applications in vertical markets by 2025 [31][32]. Additional Insights - BlueYun's computing power capacity is measured at 40,000 units, indicating its strong position in high-performance computing for AI applications [18]. - The company is cautious about over-investment in computing power, noting that while there may be excess in some areas, the overall demand for computing resources in China still has room for growth compared to the U.S. [32].