1月27日，在2026"智算申城"高峰论坛上，"上海市智算产业高质量发展倡议"正式启动。 该倡议由上海仪电联合多家龙头企业共同发起，旨在协同推进新一代智算中心建设，构建高水平智算云服务体系，攻坚高能效服务器与高密度机柜技 术、共建开放协同的自主可控产业生态，致力于将智算产业打造成为上海经济高质量发展的新引擎。 上海仪电（集团）有限公司党委副书记、总裁、上海市算力网络协会理事长张建明致辞时表示，国内算力产业正从"设施规模"向"综合效能"转变，形 成"硬件—智算云—模型—应用"四级联动架构。 张建明说，上海仪电作为上海数智化建设的国资主力军，正全力推进智算基础设施迭代升级与国产自主可控生态建设，包括：持续扩容超万卡级先进性 能算力集群，推动高效制冷技术规模化落地；构建仪电智算云与算力调度服务平台，促进算力资源在多元场景中的便捷接入与高效流通；推动国产AI芯片 与仪电智算云深度适配，构建自主可控光互连GPU超节点等。市算网协会将持续促进行业协作与产学研融合，共同为上海"2+3+6+6"现代产业体系构建和经 济社会高质量发展注入强劲动能。 中国信息通信研究院党委副书记王晓丽致辞时表示，算力是数字经济的核心生产力，是推 ...

Core Insights - Qingdao Data Group, a subsidiary of Huatuo Group, is a key player in the digital economy development of Qingdao, creating a replicable model for national government AI initiatives through its "computing power-data-model-service" integrated operational system [1][9] Group 1: Computing Power - The company has established a computing power scheduling service platform that integrates diverse national computing resources, creating a one-stop platform and a full-stack empowerment system [1] - Currently, it has connected 13 computing centers with over 24,000 PFlops of computing resources, serving more than 300 enterprises, significantly lowering the innovation threshold and application costs for AI companies [1] Group 2: Data Activation - Qingdao Data Group has developed a public data operation platform that collects 5,201 public data directories, covering social data from 50 million enterprises nationwide [3] - The platform has launched nine scenario zones and 157 data products, enabling 247 application scenarios such as financial risk control and rapid claims processing, creating a sustainable data circulation ecosystem [3] Group 3: Model Development - The company has independently developed the "Tongcheng Government Large Model" to meet concentrated demands in the government sector, achieving a 93% accuracy rate in knowledge-based intelligent Q&A and a 70% efficiency improvement in rapid model construction [5] - This model supports over 50 practical scenarios, including "similar case judgment," leading the nation in government intelligence [5] Group 4: Service Implementation - Based on the government large model, Qingdao Data Group has created over 160 practical application scenarios, enhancing urban event handling efficiency by over 30% through collaborative analysis of "small algorithms + large models" [7] - The results have been promoted to over 30 cities nationwide, transforming technical capabilities into urban governance effectiveness, benefiting urban development and improving people's livelihoods [7] Group 5: Recognition and Future Plans - The company has achieved notable recognition, including four software copyrights, two patent applications, and awards such as the third prize in the 2025 National Data Element × Competition [9] - Future plans include further refining the "four-in-one" system, enhancing data supply, technical support, and scenario empowerment capabilities, aiming to be a pioneer in data value and a facilitator of urban upgrades [9]

Core Insights - The Jiangxi Provincial Government has issued the "Artificial Intelligence + Action Plan," which emphasizes the need for proactive construction of intelligent computing facilities based on scenario requirements [1] Group 1: Infrastructure Development - The plan aims to promote the integration of existing high-energy consumption and low-efficiency computing facilities, focusing on the construction of green computing infrastructure [1] - New and renovated computing infrastructure in the province must have an energy utilization efficiency of less than 1.25 [1] Group 2: Network and Resource Management - Priority will be given to building high-throughput computing transmission networks between major computing nodes, achieving direct connections with speeds over 100G and millisecond-level latency between computing resource pools in urban areas [1] - A provincial computing scheduling service platform will be established to facilitate unified access and scheduling of computing infrastructure, enabling "one-point access and immediate use" of computing services [1]