2025-11-19 13:15Financial Data and Key Metrics Changes - The company's revenue for Q3 2025 reached RMB 2.48 billion, with a year-over-year growth rate accelerating from 24% in the previous quarter to 31% this quarter [5][16] - Adjusted gross profit for the quarter was RMB 393 million, representing a year-over-year increase of 28% [7][19] - The adjusted operating profit turned from a loss to a profit of RMB 15.36 million, with an adjusted operating profit margin of 0.6% [7][21] - Adjusted net profit recorded a historical positive profit of RMB 28.73 million for the first time [7] Business Line Data and Key Metrics Changes - Public cloud revenue increased significantly by 49% year-over-year, reaching RMB 1.75 billion [5][18] - Intelligent computing cloud business gross billings reached RMB 782 million, with a year-over-year growth of approximately 122% [5][16] - Revenue from the Xiaomi and Kingsoft ecosystem reached RMB 691 million, increasing by 84% year-over-year, accounting for 28% of total revenue [6] Market Data and Key Metrics Changes - The demand for artificial intelligence is driving rapid development in intelligent computing cloud and technological innovation in basic public cloud services [6] - The company is focusing on expanding customer coverage and cross-selling intelligent computing cloud and basic cloud services [9] Company Strategy and Development Direction - The company aims to provide stable and efficient integrated training and inference intelligent cloud computing services, positioning itself to capitalize on the growth of AI applications [4][5] - The strategy includes strengthening the control of costs and expenses while investing in intelligent computing infrastructure [7][15] - The company is targeting advantageous verticals and geographical regions to build core competitiveness for future growth [9] Management Comments on Operating Environment and Future Outlook - Management expressed confidence in the growth of AI business demand and the potential for higher margins as inference demand increases [30][32] - The company plans to continue investing in infrastructure and enhancing service stability to meet the growing demand for AI capabilities [22] Other Important Information - The company successfully raised HKD 2.8 billion in equity financing, with allocations for AI infrastructure and operational needs [17] - Capital expenditures for the quarter were RMB 2.79 billion, primarily for intelligent cloud infrastructure investment [22] Q&A Session Summary Question: What are the key drivers of AI revenue growth in Q3? - Management indicated that the growth was driven by clusters that began recognizing full quarter revenues and some delayed revenue from Q2 [29] Question: How does management see the margin trend in the coming quarters? - Management expects inference demand to exhibit a higher margin profile than current training demand, anticipating higher margins in the future [31][32] Question: Could management share the outlook and guidance on revenue for next year? - Management is confident in subsequent demand growth and is currently finalizing the budget process for next year [35] Question: How does management view the current market dynamics for procurement versus leasing? - Management stated that both procurement and leasing have their pros and cons, and resource allocation will depend on customer needs [36][37] Question: What is the pricing methodology between AI training and inference? - Management noted that pricing is based on resource usage, with inference services potentially offering better margin ratios [42]