Computing Power Rental Track Heats Up as Listed Companies Accelerate Layout

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Currently, the commercialization of AI intelligent agents is accelerating, with downstream application scenarios releasing concentrated demand. This directly drives explosive growth in computing power demand, and the popularity of computing power leasing has significantly increased.

On March 12, the computing power leasing sector was active. By the close of trading that day, many concept stocks such as Hongjing Technology Co., Ltd. and China Energy Construction Co., Ltd. hit the daily limit. Stocks like Beijing Guolian Video Information Technology Co., Ltd. and Beijing Huichen Zidao Information Co., Ltd. (hereinafter “Huichen Co. (Rights Protection)”) also rose in tandem.

“Computing power leasing is expected to become an important solution to ease the current AI computing power supply gap. It can quickly match short-term computing needs of AI companies, especially for small and medium-sized enterprises lacking sufficient funds and technical capabilities to build data centers themselves, significantly reducing initial investment costs. At the same time, it can improve overall utilization efficiency of computing resources and prevent waste,” said Yuan Shuai, Deputy Secretary-General of the Zhongguancun Internet of Things Industry Alliance, in an interview with Securities Daily.

Meanwhile, rising leasing prices have become a key issue to watch for the market’s future development.

According to a research report from Kaiyuan Securities, industry monitoring shows that the surge in AI computing power demand at the start of 2026 has driven the computing power leasing market into a price increase cycle. By the end of February, high-end GPUs like Nvidia H200 and H100 saw rental prices increase by 15% to 30% month-over-month. The H200 hourly rent reached 7.5 yuan per card-hour to 8.0 yuan per card-hour, with monthly rents between 60,000 and 66,000 yuan, up 25% to 30%. The H100 monthly rent increased to 55,000 to 60,000 yuan, up 15% to 20%. Delivery cycles have been extended to Q2 2027 (H200) and Q1 2027 (H100).

In response to this trend, Bai Wenxi, Chairman of Zhonghe Kunlun (Beijing) Asset Management Co., Ltd., told Securities Daily that from an operational perspective, companies can hedge short-term price fluctuations by locking in long-term contracts, signing fixed 3- to 5-year leasing agreements. From a long-term industry development perspective, it is necessary to accelerate the improvement of industry standards, clearly define core indicators such as computing power performance and security levels, and guide market participants to compete in an orderly manner. Relevant policies and subsidies should be targeted at small and medium-sized enterprises and research institutions to prevent resource concentration among leading companies.

Under the trend of rising prices and intensified competition, computing power leasing companies should avoid vicious price wars by improving service quality and technological capabilities to build differentiated barriers. “At the same time, leasing companies need to consider the cost pressures of AI transformation in the physical industry by launching dedicated discount packages for physical industries and collaborating with enterprises to co-develop application scenarios, promoting a synergistic development of the leasing industry and the physical sector, rather than merely seeking short-term gains through price hikes,” Yuan Shuai said.

The high prosperity of the computing power leasing market has also attracted listed companies to accelerate their deployment in related businesses through various means. Recently, on investor interaction platforms, the progress of listed companies’ leasing businesses has become a hot topic among investors.

Huichen Co., relying on its own computing power applications, has launched a one-stop product called “Integrated Computing Power Management Service Platform” for intelligent computing resource operation and management. The platform supports heterogeneous computing resource integration management, providing trading and service operations for computing resources, better meeting diverse AI computing power rental scenarios.

“The platform is currently deployed within the company and in related data centers. In terms of hardware, a small amount of computing resources are also leased to relevant clients,” a Huichen Co. representative told Securities Daily.

Hunan Aibulu Environmental Technology Co., Ltd. announced that its computing power center leasing business is scheduled to start in October 2024 and be fully operational by December 2024. Since the center’s construction, the company has steadily strengthened its leasing capabilities, enhanced team building and technical reserves, and further improved market competitiveness. As a result, the company’s sales and profits from leasing in 2025 are expected to grow significantly compared to 2024.

Zhuanchuang Data Technology Co., Ltd. stated on the investor interaction platform that computing power services are now a key business direction, with cooperation or service agreements already signed with multiple clients.

Looking ahead, Everbright Securities believes that companies with integrated computing and power technology, green energy computing layouts, and customer resource advantages will dominate the leasing market and become core beneficiaries of AI industry development.

“In the long term, the development of computing power leasing still needs to address technical dependence and security compliance bottlenecks. The industry will evolve toward greener solutions, layered services, and ecological collaboration. Companies should achieve sustainable growth through hybrid leasing models, cost reduction through technology, and policy synergy,” said Bai Wenxi.