[SMM Cooperation] SMM Computing Power Price Index Increases Guangzhou Lingjing Technology as a Price Submitter

Published: Aug 27, 2026 12:08 (GMT+8)

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In August 2026, the AIDC Division of SMM (Shanghai Metals Market) officially signed a computing power leasing price collection cooperation agreement with Guangzhou Lingjing Technology Co., Ltd., making Lingjing Technology one of the SMM computing power price index price submitters.

In August 2026, Shanghai Metals Market (SMM) AIDC Division officially signed a computing power rental price collection cooperation agreement with Guangzhou Lingjing Technology Co., Ltd. Under the agreement, Lingjing Technology will become one of the price submitters for the SMM Computing Power Price Index.

Per the agreement, Lingjing Technology will regularly provide pricing information for its rentable computing power server resources based on the model and regional specifications published by the SMM Index, covering monthly rental quotes for whole machines of mainstream GPU models such as A100, A800, H100, H800, H20, 4090, and 910B in regions including the Yangtze River Delta, Pearl River Delta, Beijing-Tianjin-Hebei, Chengdu-Chongqing, and western China. The server rental price collection scope covers the server resources that Lingjing Technology can lease in the Pearl River Delta, central China, and east China. The cooperation also includes joint development of the computing power rental price index. Both parties will conduct joint research on price signals under different contract structures, including spot price collection, long-term rental agreements, closed contracts, and open contracts, to iteratively improve the product system of the SMM Computing Power Rental Price Index, gradually establishing a commodity pricing benchmark for computing power in China.

Market Significance

This cooperation marks an important milestone for the SMM AIDC Division in expanding its price submission network. Since 2026, SMM has applied the pricing methodology used in commodity price research to the computing power rental market, launching the SMM Computing Power Rental Price Index covering five major regions and over 20 mainstream models. By introducing price submitters such as Lingjing Technology, SMM aims to obtain first-hand market information through compliant channels, building an open, fair, just, and traceable third-party quotation system to provide a reference for price discovery across the computing power rental industry chain.

About Guangzhou Lingjing Technology

Guangzhou Lingjing Technology Co., Ltd. was established in October 2025, with its main business covering computing power rental services and token technology research and development, with computing power rental as its core business direction. In the token field, the company provides token factory construction technical services, token aggregation and distribution platform proxy site building and maintenance services, as well as token agency distribution and go-global services. Its self-developed domestic token site tokease.cn has been officially launched, now serving more than 60 local state-owned enterprises and large enterprises, along with 312+ trainees and agents.

About SMM Compute Rental Price Index

The SMM Compute Rental Price Index, operated by the SMM AIDC Division, is published via the data center at . SMM's website has a daily average page view of over 500,000. The rental price index covers monthly rental and card-hour prices for whole machines of mainstream GPU models including A100, H100, H200, H800, H20, 4090, 5090, A800, and 910B across five major regions, aiming to establish a commodity pricing benchmark for computing power.

Contact for Price Submission Cooperation

For inquiries about the SMM Computing Power Rental Price Index or to engage in price submission cooperation, please contact Fang Wenda of the SMM AIDC Division at: fangwenda@smm.cn.

Data Source Statement: Except for publicly available information, all other data are processed by SMM based on publicly available information, market communication, and relying on SMM's internal database model. They are for reference only and do not constitute decision-making recommendations.

For any inquiries or for more information, please contact: lemonzhao@smm.cn

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