The computing power leasing sector heats up as listed companies accelerate their deployment

Securities Daily Reporter Xu Linyan

Currently, the commercialization and rollout of AI agents is accelerating. Downstream application scenario demand is being released in a concentrated manner, directly driving an explosive surge in demand for computing power. As a result, the level of interest in computing power leasing has increased significantly.

On March 12, the computing power leasing concept sector showed active performance. As of market close that day, multiple concept stocks—including Hongjing Technology Co., Ltd. and China Energy Engineering Group Co., Ltd.—hit the daily trading limit. Individual stocks such as Beijing Guolian Information Technology Co., Ltd. and Beijing Huiren Zidao Information Co., Ltd. (hereinafter “Huiren Shares”) also rose in tandem.

“Computing power leasing is expected to become an important solution to help ease the current AI computing power supply gap. It can quickly match AI companies’ short-term computing power needs, especially for small and medium-sized enterprises that lack sufficient funding and technical capability to build their own data centers. For such firms, it can substantially reduce upfront investment costs. At the same time, it can improve the utilization efficiency of overall computing power resources and avoid waste of computing power.” Yuan Shuai, Deputy Secretary-General of the Zhongguancun Internet of Things Industry Alliance, told the reporter of Securities Daily.

Meanwhile, the increase in leasing prices has become a key issue that the market needs to watch for its subsequent development.

An open-source securities research report shows that, according to industry monitoring, driven by a surge in AI computing power demand at the beginning of 2026, the computing power leasing market has entered a price-increase cycle. By the end of February, the rental prices of high-end GPUs such as NVIDIA H200 and H100 had risen month-over-month by 15% to 30%. The hourly rental price of H200 ranged from 7.5 yuan per card-hour to 8.0 yuan per card-hour, with monthly rental fees of 60,000 yuan to 66,000 yuan, representing an increase of 25% to 30%. The monthly rental price of H100 rose to 55,000 yuan to 60,000 yuan, representing an increase of 15% to 20%. The delivery cycle has been extended to 2027 Q2 (H200) and 2027 Q1 (H100).

Against this backdrop, Bai Wenxi, Chairman of Beijing Zhong You Kunlun Asset Management Co., Ltd., said in an interview with the reporter of Securities Daily that, from the perspective of enterprise operations, companies can effectively hedge business uncertainty caused by short-term price fluctuations by locking in long-term contracts and signing 3-to-5-year fixed-term leasing agreements. From the long-term development perspective of the industry, it is necessary to accelerate the improvement of the industry standard system, define core indicators such as computing power performance and security levels, and guide market players to compete in an orderly manner. Related policy subsidies should be targeted precisely toward industry small and medium-sized enterprises and research institutions, preventing resources from concentrating excessively in leading enterprises.

Under the development trend of rising prices and intensifying competition in the industry, computing power leasing companies should avoid predatory price competition and build differentiated barriers by improving service quality and technical capabilities. “At the same time, computing power leasing companies need to take into account the cost pressure of the transformation of AI in the real economy industries, and by launching exclusive discounted computing power packages for real economy industries, and co-building computing power application scenarios together with real economy enterprises, promote a coordinated development pattern between the computing power leasing industry and the real economy industries—rather than simply gaining short-term benefits by raising prices.” Yuan Shuai said.

The high level of business optimism in the computing power leasing market has also attracted listed companies to accelerate their layout of related businesses in multiple ways. Recently, on investor interaction platforms, the progress of listed companies’ computing power leasing businesses has become a hot topic attracting investor attention.

Huiren Shares, relying on its own computing power application, has already released a one-stop product for intelligent computing resource operation and management, the “Integrated Computing Power Management Service Platform.” The platform supports the integrated management of heterogeneous computing power resources and provides services such as trading of computing power resources and service operations. It can better meet scenario demands for different ways of renting AI computing power.

“Currently, the platform has already deployed applications within the company and in related data centers. In terms of computing power hardware, there is also a small amount of computing power resources leased to relevant customers for use.” a relevant executive at Huiren Shares told the reporter of Securities Daily.

Hunan Aibulu Environmental Protection Technology Co., Ltd. announced that the company’s computing power leasing business at its computing power center started in October 2024 and was completed as a whole in December 2024. Since the construction of the computing power center began, the company has gradually strengthened its computing power leasing business capabilities, reinforced team building and technical reserves, and further improved its market-oriented capabilities. Therefore, in 2025, the company’s sales revenue and profit from its computing power leasing business increased significantly compared with 2024.

Cure-D Data Technology Co., Ltd. stated on an investor interaction platform that computing power services are already an important direction of the company’s business, and it has already signed cooperation or service agreements with multiple customers.

Looking ahead, Guangda Securities believes that enterprises that have advantages in computing-power-and-electricity coordination technology, green-power computing power layout, and customer resources will occupy a leading position in competition in the computing power leasing market and become core beneficiaries of AI industry development.

“From a long-term perspective, the development of computing power leasing still needs to address bottlenecks such as technical dependency and safety and compliance. In the future, the industry will evolve toward greener operations, service tiering, and ecosystem coordination. Enterprises need to achieve sustainable development through hybrid leasing models, technological cost reductions, and policy coordination.” Bai Wenxi said.