Cloud Factory Reports 73% Jump in Interim Net Profit

Stock News
Aug 27

Cloud Factory (02512) has announced its interim results for the six months ended June 30, 2026, with revenue reaching RMB 717 million, marking a 76.2% year-on-year increase. Profit attributable to shareholders surged 73.32% to RMB 25.456 million, with earnings per share coming in at RMB 0.05.

The group attributed the substantial revenue growth, which climbed approximately 76.2%, primarily to the expansion of its newly developed intelligent computing and edge computing services. During the first half of 2026, as artificial intelligence large models, AI agents, and industry-specific intelligent applications continued to evolve, market demand for high-performance, heterogeneous, and flexibly schedulable computing resources intensified. Computing power services have progressively shifted from pure resource supply to encompassing resource scheduling, model services, and scenario-based applications.

Throughout the reporting period, the company maintained its core strategy centered on "edge cloud + AI services," refining its four-layer integrated technology architecture spanning "infrastructure, edge nodes, computing power, and applications." While ensuring the stable operation of its IDC solution services, the group persistently advanced the commercial deployment of edge computing services and intelligent computing.

During the period, the group placed strategic emphasis on developing edge computing and intelligent computing, with combined revenue from these two segments accounting for over 50% of total group revenue. This has become a critical driver for business growth and structural optimization. Leveraging its nationwide edge node network and the eight intelligent computing centers already established, the group utilizes its "Lingjing Cloud" platform, proprietary heterogeneous computing scheduling capabilities, open-source large model ecosystem, and self-developed AI algorithms to deliver bare metal servers, edge cloud services, elastic computing power, computing scheduling, token access, and software-hardware integrated solutions to government agencies, enterprises, developers, and AI application clients. This approach has progressively formed a comprehensive business system spanning infrastructure, platform capabilities, and scenario-based applications.

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