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涿州阿里项目竣工,京津冀数字经济再添“智算引擎”!
Sou Hu Cai Jing· 2025-08-23 00:35
在河北省涿州市,一项引领数字经济的重大工程——涿州阿里总承包一期项目,近日成功完成了竣工验收,标志着该项目即将正式投入使用。该项目将搭 载云计算、大数据分析、云存储等一系列前沿的数字技术服务,为京津冀地区的数字经济发展注入强大的推动力。 该项目位于涿州市刁窝镇,总建筑面积达25万平方米,是全国性的先进智算中心示范项目。自中标以来,项目团队迅速进驻现场,以高度的责任感和使命 感,全力推进工程建设。该项目还承办了2023年保定市第三批重点项目集中开工仪式,彰显了其在区域经济发展中的重要地位。 在工程建设过程中,项目团队通过精心组织和科学管理,不仅提前11天完成了主体结构的里程碑节点,还在湖南省QC小组成果评选中荣获二等奖。在业 主开展的第三方飞检中,该项目多次取得了全国阿里项目排名第一的优异成绩。 除了工程建设方面的卓越表现,该项目还注重提升农民工的精神素养。项目团队持续开展"点亮一盏灯"系列志愿服务活动,成立了"信和夜校·职工书 屋",为工友们搭建起了一个学习和交流的平台。这些举措不仅丰富了工友的业余精神文化生活,还受到了《人民日报》客户端的报道。 据悉,该项目所属的安装公司已参与建设了32座数据中心,覆盖京津 ...
模范生交卷!点亮京津冀又一座“数字灯塔”
Sou Hu Cai Jing· 2025-08-22 13:29
近日,涿州阿里总承包一期工程 正式完成竣工验收 即将搭载云计算、大数据分析 云存储等前沿数字技术服务 为京津冀地区数字经济的腾飞注入澎湃动力 ▲保定市2023年第三批重点项目集中开工 项目位于河北省涿州市刁窝镇 总建筑面积约为25万平方米 是 全国性先进智算中心示范项目 自中标以来,项目团队跑步进场 还承办了2023年保定市第三批 重点项目集中开工仪式 ▲项目ECC楼实景 项目团队始终以 高度的责任感和使命感 确保工程高质量推进和工期提前完成 通过劳动竞赛合理安排工序穿插 不仅 提前11天完成主体结构的里程碑节点 还荣获湖南省 QC小组成果二等奖 在业主开展的第三方飞检中 多次取得了 全国阿里项目第一的成绩 持续开展 "点亮一盏灯"系列志愿服务 成立了"信和夜校·职工书屋" 搭建起与工友沟通的桥梁 打造"书香工地" ▲《人民日报》客户端报道 同时,项目致力于农民工精神素养提升行动 丰富工友业余的精神文化生活 受到了《人民日报》的报道 目前,安装公司已 参建数据中心32座 在5个国家算力枢纽节点—— 京津冀、长三角、成渝 粤港澳大湾区、内蒙枢纽及 安徽、山西等地皆有项目 已建成投用 竣工交付不是终点 而是价值生 ...
算力专题:面向工业互联网的算力网络研究报告
Sou Hu Cai Jing· 2025-06-06 17:05
Core Viewpoint - The report emphasizes that computing networks, as a new type of infrastructure combining "computing + connectivity," are crucial for the digital transformation of the industrial internet, aiming to achieve ubiquitous computing, symbiotic networks, intelligent orchestration, and integrated services [1][19]. Group 1: Development Background and Trends - The digital economy and industrial digital transformation require superior network connectivity and robust computing power to meet demands for ultra-high bandwidth, ultra-low latency, and high security [20]. - Computing networks represent a fusion of new infrastructure demands, integrating 5G, industrial internet, AI, cloud/edge computing, and blockchain technologies [21]. - The development of computing networks is driven by the convergence of 5G and edge computing technologies, enhancing service reliability and reducing latency [21][22]. Group 2: Current Status of Computing Networks - Computing networks have become a hot topic in the industry, with operators, equipment manufacturers, and research institutions actively participating in research and establishing a development roadmap and architecture [22][23]. - Initial achievements have been made in core technology areas such as computing modeling, perception, routing, and trading, with various standards being developed [23][24]. Group 3: Application Scenarios of Computing Networks - Computing networks will transform the supply, application, and service methods of computing power, enhancing service flexibility and efficiency across various industries [27]. - Specific applications include: - **Cloud VR Video Services**: Utilizing multi-layered computing power to meet the increasing demand for immersive experiences [28][29]. - **V2X Vehicle Networking**: Integrating AI and IoT to enhance data processing and transmission capabilities for smart transportation [30][34]. - **Green and Low-Carbon Initiatives**: Addressing energy consumption issues in data centers by optimizing resource utilization and supporting carbon neutrality goals [33][36]. Group 4: Key Technologies in Computing Networks - Key technologies include unified resource description frameworks, IT/OT data boundary integration, multi-factor routing based on SRv6/IPv6, and digital twin networks for optimizing industrial operations [2][19]. - The focus is on overcoming technical bottlenecks related to heterogeneous hardware abstraction and generalization of computing primitives to support deep integration in industrial scenarios [2]. Group 5: Vision and Future Outlook - The vision for computing networks is to achieve a state where computing power is as accessible as utilities like water and electricity, enabling seamless integration of services across various sectors [21][22]. - Future developments will focus on enhancing industry collaboration and deepening the integration of computing networks in industrial applications, positioning them as a core engine for digital economic growth [2].