Guangzhou SiE Consulting Co LtdCompany announces large capex for computing power servers, funded via credit and leasing, indicating expansion and investment in AI infrastructure.

SIE Information announced on the evening of July 14 that the company plans to purchase high-performance computing power servers from suppliers, with the total contract amount expected not to exceed 5.079 billion yuan, primarily to provide cloud computing power services to customers. The company stated that this move will strengthen the underlying support of its full-stack AI products encompassing computing power base, industry models, and business agents, broaden the boundaries of its AI business capabilities, and help expand and increase revenue in the cloud computing power services segment. In terms of funding, no more than 22.15 percent of the procurement amount is expected to be covered through self-owned funds and revolving bank credit lines. The company has ample liquidity reserves, with coverage exceeding 12.5 percent of the total procurement amount. The company and its subsidiaries have obtained total comprehensive bank credit lines of 2.13 billion yuan, of which 1.011 billion yuan remains unused and available for revolving drawdown. Any excess will be addressed through channels such as equipment finance leasing and accounts receivable factoring. This marks SIE Information's third major move in the computing power field this year, following an announcement on May 14 of plans to carry out finance leasing business of up to 20 billion yuan, and an announcement on May 20 of plans to purchase computing power servers for up to 833 million yuan. The company's 2026 half-year performance forecast shows that net profit attributable to the parent company in the first half of the year is expected to be between 52.5 million yuan and 65 million yuan, representing a year-on-year increase of 188.36 percent to 257.01 percent.
Guangzhou SiE Consulting Co LtdCompany announces large capex for computing power servers, funded via credit and leasing, indicating expansion and investment in AI infrastructure.