Polibeli, a sister company of Xingyun Technology, plans to build AI computing power infrastructure in Southeast Asia
Shanghai Securities News China Securities Network News (Reporter Xia Zihang) Recently, reporters learned that Xingyun Technology’s sister company, Nasdaq-listed company Polibeli Group Ltd. (stock code: PLBL), has received a major benefit: it has joined hands with international giants to lay out computing power infrastructure in Southeast Asia.
Shanghai Securities News China Securities Network News (Reporter Xia Zihang) Recently, reporters learned that Xingyun Technology’s sister company, Nasdaq-listed company Polibeli Group Ltd. (stock code: PLBL), has received a major benefit: it has joined hands with international giants to lay out computing power infrastructure in Southeast Asia. It is reported that Polibeli has disclosed a memorandum of understanding and plans to evaluate the construction of a 100-megawatt AI computing power center project in Thailand. It is also conducting in-depth strategic cooperation negotiations with Amazon Cloud Technology (AWS), focusing on large model inference computing power infrastructure, providing inference computing power services to the world's leading AI large model companies, and laying out the AI computing power hub in Southeast Asia. Currently, the demand for AI computing power in Southeast Asia is exploding. Amazon Cloud Technology has deployed Anthropic large model inference nodes on local public cloud infrastructure, and the gap in inference computing power continues to expand. This time, Polibeli will jointly build a computing power center suitable for large-model reasoning scenarios, and at the same time promote the construction of multi-node computing power bases in core Southeast Asian countries such as Thailand and Indonesia, undertake the cloud computing power load of global AI giants, and create a cross-border AI computing power ecosystem. Xingyun Technology and Polibeli are both actually controlled by Wang Wei. Relying on Xingyun Group's profound global cross-border supply chain capabilities, Xingyun Technology has completed the construction of core capabilities in the computing power business. The company's strategic focus focuses on AI computing power leasing, server deployment and operation and maintenance services, and it has successively landed long-term computing power service orders. In addition, Xingyun Technology has also built full-chain service capabilities covering GPU computing power procurement, cross-border delivery, deployment and operation and maintenance, and long-term computing power leasing. Relying on a mature global supply chain system, the company can efficiently complete computing hardware procurement, cross-border logistics, computer room deployment, delivery and operation, and has the core ability to quickly implement large-scale computing clusters to support domestic and overseas AI large model training and inference computing power needs. In the domestic market, Xingyun Technology's high-end computing power equipment delivery and operation and maintenance support capabilities have been fully recognized by many customers. In less than four months, the company has signed multiple large-scale long-term computing power service agreements. The large-scale orders announced alone exceeded 10 billion yuan, locking in long-term computing power leasing income, and during the period, customers agreed twice to significantly increase the rental price. People in the computing power industry believe that the demand for AI computing power is gradually shifting from single training computing power to the dual main line growth of "training + inference". Southeast Asia is a key area for global AI layout, and the gap in reasoning computing power will exist for a long time. Xingyun Technology relies on cross-border supply chain barriers and mature computing power operation capabilities, coupled with the ecological cooperation layout of its sister company Polibeli, it is expected to usher in double dividends from the domestic and overseas computing power markets. (