Shenzhen Xunce Technology Co Ltd plans to secure syndicated loans of up to 10 billion yuan ($1.4 billion) to finance the development of an artificial intelligence inference and computing centre, underscoring the growing capital requirements for China’s expanding AI infrastructure.
The company, which provides real-time data infrastructure and analytics services related to artificial intelligence, said in a filing with the Hong Kong Stock Exchange that its subsidiary would seek financing from financial institutions for the project.
Xunce’s parent company plans to provide guarantees of up to 10 billion yuan in connection with the proposed borrowing.
The financing would support the construction and development of an AI inference and computing centre, an area that has attracted significant investment as technology companies and enterprises seek greater computing capacity for the deployment of large AI models and other data-intensive applications.
The proposed borrowing will be arranged through syndicated facilities, bringing multiple financial institutions into the financing rather than relying on a single lender, according to the filings seen by CrowdFund Insider.
Xunce said the project company does not have sufficient net assets or credit standing to independently meet the financing requirements. The parent guarantee is therefore expected to support the subsidiary’s ability to obtain the facilities.
The size of the proposed financing highlights the substantial upfront capital required to build AI computing infrastructure, where spending can include computing equipment, data-centre facilities, power systems and related infrastructure.
The transaction also illustrates how banks and other financial institutions are becoming important sources of capital for AI infrastructure projects, alongside equity investment and other forms of private capital.
For lenders, the parent guarantee provides an additional layer of credit support, although the scale of the commitment means the financing could create a significant contingent obligation for Xunce if the subsidiary is unable to meet its repayment obligations.
The proposed facility is subject to the relevant financing arrangements and conditions set out in the company’s announcement. The filing did not mean that Xunce had immediately drawn the full 10 billion yuan.
China has been accelerating investment in computing infrastructure as it seeks to expand domestic AI capabilities and reduce constraints on access to computing power.
Demand for high-performance computing has increased alongside the development of large language models, AI agents and other applications requiring substantial processing capacity.
The financing plan comes as investors and lenders increasingly distinguish between AI companies developing software and models and the infrastructure providers supplying the computing capacity needed to run them.
For Xunce, the proposed syndicated financing would allow the company to pursue a capital-intensive infrastructure project while spreading lending exposure among participating financial institutions.
The transaction also points to a broader financing trend in which AI infrastructure is being funded through a combination of corporate balance sheets, bank lending, and other forms of structured capital rather than relying exclusively on venture capital or public-market funding.
At the maximum proposed amount, the financing would rank among the larger corporate debt commitments associated with AI computing infrastructure in the region, although the final amount drawn will depend on the terms and conditions of the financing arrangements.