证券代码：002285 证券简称：世联行 公告编号：2025-027 深圳世联行集团股份有限公司 部分案件判决我司 案，部分案件 本公司及董事会全体成员保证信息披露的内容真实、准确和完整，没有虚 假记载、误导性陈述或者重大遗漏。 受宏观经济和市场波动的影响，为了加快应收款项的回收，控制应收款项风 险，保障公司及全体股东的利益，深圳世联行集团股份有限公司(以下简称"公 司")及控股子公司积极通过诉讼或仲裁方式对应收款项进行清收。经统计，自 累计金额合计为人民币 16,746.26 万元，占公司最近一期经审计净资产绝对值的 交易所股票上市规则》的相关规定，对公司诉讼、仲裁事项相关情况公告如下： 一、本次新增诉讼、仲裁事项基本情况 自 2024 年 10 月 1 日至 2025 年 6 月 30 日，公司及控股子公司(以下统称"我 司")发生的诉讼、仲裁事项涉案金额在 1,000 万以上的如下表： | 序 | | | 我司 | 立案/应 | | | 状态及对公 | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | 原告 | 被 ...

Group 1 - The core viewpoint of the article is that the demand for data centers in the Asia-Pacific region is expected to double in the next three years due to the robust development of AI and the increasing demand for cloud services [1] - The report highlights that mature markets such as Japan, Australia, and South Korea will continue to see strong demand, while Singapore, despite limited supply, remains a focal point of interest [1] - It is projected that by 2028, the Asia-Pacific region will face a power shortage of 15 to 25 gigawatts due to limited power supply and a lack of infrastructure to support AI [1]

Group 1 - The core viewpoint of the report is that the demand for data centers in Hong Kong is strong due to the AI boom and digital transformation across various industries [1] - The report predicts that the supply of data centers in the Asia-Pacific region will double in the next three years, but there will be a power shortfall of 15 to 25 gigawatts by 2028 due to power supply limitations and lack of infrastructure supporting AI [1] - Hong Kong is positioned as a critical entry point for data center traffic in the Asia-Pacific region, attracting investment despite rising operational costs and infrastructure constraints [1] Group 2 - The Asia-Pacific region faces similar challenges, with strong demand for server hosting and large-scale data centers driven by the growth of AI and cloud services [2] - The rapid adoption of AI and cloud services is increasing the demand for next-generation data centers, but many existing and upcoming data centers are not designed to support AI workloads [2] - Data centers focused on AI require more than double the power density per server rack, advanced cooling systems, structural reinforcement, and low-latency network connections, posing significant challenges for developers [2]