Cloud Factory (02512) announced its interim results for the six months ended June 30, 2025, reporting group revenue of RMB 407 million, representing a year-on-year increase of 10.03%. Net profit reached RMB 14.923 million, up 18.97% compared to the same period last year, with earnings per share of RMB 0.03.

In the first half of 2025, the company expanded its business focus from building edge computing infrastructure to developing scenario-based edge computing applications and achieving deep integration across various industries. In line with the industry trend of convergence between edge computing and AI, the company strengthened its core strategy of "edge cloud + AI services."

The company has deployed nodes nationwide, creating a "10-kilometer low-latency computing service circle" that covers over 2,000 districts and counties across China, supporting localized computing power and achieving computing-network integration. Through its computing power scheduling platform, model fine-tuning platform, and AI large model applications, the company is building a comprehensive technology stack that encompasses diversified model capabilities at the Model-as-a-Service (MaaS) layer and deep industry scenario integration at the Software-as-a-Service (SaaS) layer.

The company's strategic focus is to establish roots in the computing power network while deepening its presence in intelligent scenarios, providing real-time, rapid-response edge AI solutions to government, transportation, education, and other sectors, supporting the company's transformation into an "edge intelligence foundation" and enabling intelligent upgrades across various industries.

During the first half of 2025, the company successfully launched multiple new services. The EdgeAIStation service completed adaptation of several mainstream AI models to the computing platform. With stable infrastructure and a global node network, the company can now provide reliable and secure computing power services to meet market demand.

Additionally, the company launched the LingJing Cloud AI Model Private Deployment Solution, offering various AI models, application platforms, and computing cluster private deployment solutions. This solution enables enterprise clients to build proprietary knowledge bases, utilize model fine-tuning services, and benefit from secure, flexible, and efficient AI solutions integrated into the company's products.

The company also officially launched its computing power scheduling solution, a one-stop platform that manages diverse computing resources including Graphics Processing Units (GPUs), Neural Processing Units (NPUs), and Field-Programmable Gate Arrays (FPGAs), with features such as imaging and snapshots to simplify customer operations.

The company's efforts have gained recognition from clients and renowned institutions. In the first half of 2025, the company partnered with leading organizations including robotics industry alliances, prestigious universities, and industry-leading enterprises, providing support for edge computing, AI large model development, and computing power-related services.

The company has received multiple honors affirming its market leadership position in technology. For three consecutive years, the company has been ranked among China's top 20 edge computing companies. The company was also included in the "2025 Government Industry Information and Innovation Ecosystem Map." One of the company's services, "Edge Intelligent Inspection V2.0," received Kunpeng native development technology certification.

In terms of research and development, the company developed real-time video stream intelligent analysis technology utilizing computer vision models to analyze surveillance videos during the first half of 2025, and advanced its cloud-edge collaborative intelligent IoT system.

Looking ahead to the second half of 2025, the company will focus on improving service quality and advancing AI large model research projects. These projects include developing adaptive computing resource management systems for heterogeneous computing power, IDC computer room environmental monitoring and intelligent early warning systems, IDC intelligent energy consumption optimization management systems, AI large model production environment deployment methods, AI large model fine-tuning methods, and dataset generation methods.