数据中心机房基础设施租赁服务
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农尚环境:控股子公司拟投资不超8369.63万元建造广州智慧创新谷算力基础设施项目
Zheng Quan Shi Bao Wang· 2025-09-30 11:21
Core Viewpoint - The company, Nongshang Environment, announced an investment plan for its subsidiary, Guangzhou Xinsuan Shengyang Technology Co., Ltd., to construct a data center infrastructure project in Guangzhou, with a budget not exceeding 83.6963 million yuan [1] Group 1 - The investment will be used to build the Guangzhou Smart Innovation Valley computing power infrastructure project [1] - The facilities constructed will primarily be used for the company's own purposes or for leasing data center infrastructure services to external clients [1]
农尚环境拟投建广州智慧创新谷算力基础设施项目
Zhi Tong Cai Jing· 2025-09-30 10:55
Core Viewpoint - The company, Nongshang Environment (300536.SZ), is expanding its business in the computing power service sector by investing in infrastructure to enhance its competitive advantage in the computing power industry [1] Group 1: Investment Details - The company’s subsidiary, Guangzhou Xinsuan Shengyang Technology Co., Ltd. (referred to as "Xinsuan Shengyang"), plans to invest no more than RMB 83.6963 million in the construction of the Guangzhou Smart Innovation Valley computing power infrastructure project [1] - The project will primarily be used for the company's own operations or to provide data center infrastructure leasing services to external clients [1]
农尚环境:控股子公司拟投资建造智算中心机房基础设施
Ge Long Hui· 2025-09-30 10:34
Core Viewpoint - The company aims to expand its business in the computing power service sector by investing in infrastructure to enhance its competitive advantage in the computing power industry [1] Investment Details - The company’s subsidiary, Guangzhou Xinsuan Shengyang Technology Co., Ltd., plans to invest no more than RMB 83.6963 million in the construction of the Guangzhou Smart Innovation Valley computing power infrastructure project [1] - The project will primarily be used for the company's own purposes or for providing data center infrastructure leasing services to external clients [1] Project Specifications - The design of the project includes 50 units of 22KW cabinets and 200 units of 8KW cabinets, capable of accommodating 100 training servers and 400 inference servers simultaneously [1]