绿色算力产业规模持续壮大。近五年来，全省与"绿算"相关的算力基础设施建设及光纤等产品制造、电 信运营服务、软件开发、数字化应用等行业经营主体开票销售收入年均增长9.3%。全国首个清洁能源 和绿色算力调度中心落成、中国柴达木绿色微电网算力中心等重大项目投运，全省算力供给能力有效提 升，"三大运营商"与金山、阿里、京东等国内互联网大型企业深化合作，2025年信息技术服务IDC业务 省外销售金额较上一年增长1.5倍。 算电协同效应持续释放。算力产业的快速发展有力促进省内绿电消纳，2025年全省算力产业购进绿电金 额同比增长11%，形成"绿电支撑算力、算力消耗绿电"的良性循环，算电协同发展步伐不断加快。 本报讯 （记者 郭靓 通讯员 林浩 索南尼玛） 2月27日，国家税务总局青海省税务局增值税发票数据显 示，青海省持续巩固清洁能源"双主体"地位，推动绿色算力产业布局建设，算电协同互促发展格局加速 形成，为全省高质量发展增添绿色动能。 清洁能源基础不断夯实。近五年来，全省清洁能源领域累计完成投资1700余亿元，2025年全省新能源发 电装机占比达到73%，新能源发电量占比达到50%，绿电资源优势进一步凸显，为"绿算"产 ...

从美国科技企业密集自建电站，到欧盟计划出台数据中心能效方案，AI背后的"能耗账单"已摆上多国能 源与科技政策的讨论桌。AI能耗问题给全球能源带来怎样的挑战？"绿色算力"能否成为解题之道？国际 社会如何更好合作应对？围绕这些问题，本报近日邀请专家进行解读。 AI"吃电量"有多大？ "电老虎""能耗巨兽""耗电大户"……这是近来不少中外媒体为AI数据中心冠以的绰号。AI"吃电量"到底 有多大？ 一组数据给出答案。国际能源署（IEA）《能源与人工智能》报告显示，数据中心作为AI运行的核心载 体，其电力消耗快速增长。2024年，全球数据中心用电量达415太瓦时，占全球总用电量的1.5%，与英 国全年用电量相当。随着AI训练和推理任务激增，这一数字预计到2030年将达到约945太瓦时，接近日 本全年用电总量。 其中，发达经济体数据中心用电增量正快速攀升。IEA报告显示，2024年—2030年，美国数据中心用电 增量将占该国总用电需求增量的近50%；到2030年，美国AI数据处理耗电将超过铝、钢铁、水泥及化工 等传统高耗能产业用电量总和。同期，日本数据中心用电增量占其全国电力需求增长总量的比重将超过 50%；欧盟数据中心 ...

供应链端：千循科技筑牢标准化再生算力资产根基作为循环经济标杆企业，千循科技及其合作伙伴拥有成熟的全球逆向物流网络、标准化工业级再制造工艺 及全球化分销渠道。千循科技将依托全球电子产品供应链网络，针对头部互联网企业及超算中心退役的GPU服务器、高密度存储阵列等高价值算力资产建立 定向回收机制；通过深度清洁、组件级维修、核心部件(CPU/GPU/内存)压力测试及固件升级，确保设备性能恢复至行业较高水准；同时搭建设备全生命周 期数字档案，完成资产定级与残值评估，为后续运营及资本运作提供精准数据支撑，实现再生算力资产的标准化、规模化供给。 运营端：华章数据以高标准技术能力保障再生算力高效运行华章数据作为国内头部数据中心基础设施服务商，针对再生算力设备的非标化、高功耗等特征， 华章数据将提供定制化机柜资源，并针对性优化气流组织与配电架构；其自研的"冰山魔方"微模块集成创新解决方案，结合冷站设计等创新技术，可使年运 行效率提高20%~50%，相比传统制冷方案，占地面积节省三分之一、建设周期缩短一半，大幅降低空调系统运行与维护成本。同时，华章数据打造了适配 超级计算机与人工智能应用的专业算力基座，延伸分布式计算与边缘计算能 ...

本报记者 林子涵 从美国科技企业密集自建电站，到欧盟计划出台数据中心能效方案，AI背后的"能耗账单"已摆上多国能 源与科技政策的讨论桌。AI能耗问题给全球能源带来怎样的挑战？"绿色算力"能否成为解题之道？国际 社会如何更好合作应对？围绕这些问题，本报近日邀请专家进行解读。 AI"吃电量"有多大？ "电老虎""能耗巨兽""耗电大户"……这是近来不少中外媒体为AI数据中心冠以的绰号。AI"吃电量"到底 有多大？ 一组数据给出答案。国际能源署(IEA)《能源与人工智能》报告显示，数据中心作为AI运行的核心载 体，其电力消耗快速增长。2024年，全球数据中心用电量达415太瓦时，占全球总用电量的1.5%，与英 国全年用电量相当。随着AI训练和推理任务激增，这一数字预计到2030年将达到约945太瓦时，接近日 本全年用电总量。 其中，发达经济体数据中心用电增量正快速攀升。IEA报告显示，2024年—2030年，美国数据中心用电 增量将占该国总用电需求增量的近50%；到2030年，美国AI数据处理耗电将超过铝、钢铁、水泥及化工 等传统高耗能产业用电量总和。同期，日本数据中心用电增量占其全国电力需求增长总量的比重将超过 5 ...

Group 1: AI and Token Consumption - The AI industry is experiencing a surge in token consumption, driven by major internet platforms investing heavily to transition users from traditional search to chatbots, thereby increasing reasoning volume and accelerating token consumption [1][4] - By December 2025, ByteDance's Doubao model is expected to reach a daily token usage of over 50 trillion, a tenfold increase from the previous year, while Google's platforms are projected to handle 1.3 trillion tokens monthly, up from 97 billion a year prior [4] - The rising demand for tokens is leading cloud service providers to increase their prices, with Amazon and Google announcing price hikes for their machine learning services in early 2026 [4][5] Group 2: Power and Cooling Solutions - The demand for AI computing power is escalating, but stricter policies on data center energy consumption are pushing the industry towards more efficient cooling solutions, such as liquid cooling, which can achieve a Power Usage Effectiveness (PUE) of 1.1 to 1.2 compared to traditional air cooling systems [1][11] - Companies like 算想科技 are transitioning to liquid cooling solutions, with expectations that the share of liquid-cooled servers will rise from 5% to 60-70% in the coming years due to technological advancements that reduce costs [12] - The first commercial immersion liquid cooling project using silicon-based cooling fluids has been launched, demonstrating the reliability and economic viability of these materials in real-world conditions [13] Group 3: Market Dynamics and Trends - The AI computing power rental market is experiencing significant growth, with many AI companies shifting from building their own computing power to renting it due to rising hardware prices [6][7] - Industry leaders are investing heavily in AI cloud infrastructure, as evidenced by NVIDIA's $2 billion investment in CoreWeave to enhance AI computing capabilities [8] - The market is witnessing structural contradictions, with traditional computing power rental models still dominant, but a shift towards edge computing and inference power is becoming more pronounced as AI applications expand [9][10]

（来源：黑龙江日报） 转自：黑龙江日报 桦树汁生产企业流水线作业。 农业种植专业合作社的"空中快线"高效转运玉米。 本文图片均由黑河市爱辉区委宣传部提供 新兴产业激活百亿经济"新引擎" 零下40摄氏度的亚洲首座四季低温试验场内，各类汽车正在进行极寒环境下的性能测试。这座试验场的投产 试运行，推动爱辉区寒区试车产业从单季测试升级为全季测试，让"冷资源"变成了"热经济"。如今，爱辉寒 区试车量占全国85%，每年带动宾馆、餐饮等相关行业增收超6亿元，拉动就业1500人以上。 此外，爱辉区前瞻布局人工智能、绿色算力等新赛道，瑷珲先进计算中心5000P智算项目加快推进，哈工大 智能激光除草机器人优化升级，200MW风电项目一期风机吊装过半，12个创新平台、24家科技型中小企业汇 聚成创新矩阵，为经济高质量发展注入源源不断的新动能。 文旅融合打造百亿经济"增长极" 亚洲首座四季低温试验场让寒区试车由一季变四季。 □韩玉洁 邵妍 本报记者 赵吉会 从传统矿业的智能升级到寒区试车的创新突破，从边境贸易的火热繁荣到文旅融合的持续升温，"十四五"期 间，黑河市爱辉区锚定高质量发展航向，以"一城两地三区"战略为牵引，构建现代化产业 ...

该项目实现三大核心创新。一是利用海水作为天然冷源，通过"动力热管+高效海水自然冷却"技术 直接利用周边低温海水进行换热，降低机械制冷损耗，彻底摆脱淡水冷却依赖。二是数据中心直接接入 临港海上风电场，通过光电复合电缆实现"风电直连"，构建"发电—输电—计算"零距离协同模式，大幅 降低输电损耗，绿电直接供给率超过95%，真正实现绿色低碳运行。三是将数据中心部署于海底，节省 90%以上陆地空间，释放沿海宝贵土地资源，为高密度城市提供可持续算力解决方案。 上海临港海底数据中心示范项目。海兰云供图 打造国际数字枢纽 海底数据中心可支持人工智能、5G、工业互联网及跨境电商等产业发展，站在了数字时代与海洋 经济交汇点。与"东数西算"工程相比，"陆数海算"工程紧靠沿海发达地区，数据处理传输用时更短，响 应更快。 近日，我国首个实现"海上风电直连+海水自然冷却"的海底数据中心示范项目在上海临港正式投产 运行。该项目由上海海兰云科技有限公司牵头，联合中国电信上海公司、申能集团、上海仪电集团、中 交三航局等多家单位共同建设。这座海底数据中心，不仅利用海水作为冷源，还叠加了风电的绿色能 源，产业规模、技术性能和商业价值得到进一步提升 ...

Core Viewpoint - China's green finance development has accelerated and is becoming a crucial driver for sustainable economic and social development, with significant achievements expected by 2025 in various areas such as standardization, product innovation, and carbon market construction [1] Group 1: Policy and Institutional Framework - Green finance is becoming a key area for the coordination of fiscal and financial policies, with the "14th Five-Year Plan" emphasizing the establishment of foundational systems for carbon management [2][3] - By 2026, China aims to enhance carbon footprint management and accelerate the establishment of carbon accounting standards for key products [2] - The government is focusing on integrating fiscal policies with financial support for carbon reduction projects, expanding the scope of support to include energy efficiency upgrades and green transformations [3] Group 2: Market Trends and Growth - The green finance market is expected to experience a dual optimization in scale and structure by 2026, driven by policy support, market demand, and financial innovation [4] - Green credit remains the largest green finance tool, with a steady growth rate projected, while green bonds are anticipated to see rapid development, enhancing the importance of direct financing [5] - ESG public fund sizes are growing, with a reported increase of 30% year-on-year, indicating a rising acceptance of ESG investment principles [6] Group 3: Technological Integration and Information Disclosure - The quality of information disclosure is expected to improve significantly due to advancements in artificial intelligence, enhancing the effectiveness of green financial product pricing [7] - By 2026, companies will be required to disclose sustainability reports, which will include climate-related information, thereby increasing the credibility of green finance pricing [8] Group 4: Product Innovation and Financial Instruments - Transition finance products are expected to be a primary focus, with innovative products emerging that link financing to corporate transformation goals [10] - Green asset securitization is expanding, with new products expected to cover a wider range of underlying assets, including renewable energy and ecological projects [11] Group 5: Carbon Market Development - The carbon finance market is anticipated to become more active, with innovations in carbon financing tools such as carbon pledges and repurchase agreements [12] - The linkage between green electricity, green certificates, and carbon markets is maturing, with expectations for increased trading activity in green certificates [13] Group 6: Integration with Digital and Inclusive Finance - Green finance is increasingly integrating with digital and inclusive finance, promoting green consumption through favorable loan conditions for consumers [15] - Financial institutions are expected to enhance support for green technology innovation, providing various financial products to facilitate the development of green technologies [19] Group 7: Support for Traditional Industry Transformation - The "14th Five-Year Plan" emphasizes the role of traditional industries in achieving modernization, with a focus on supporting their green transformation through targeted financial products [16] - Financial institutions are expected to create products that link financing to environmental performance metrics, addressing the financing challenges faced by high-carbon industries [17] Group 8: Green Trade and International Cooperation - Green trade is becoming a key area for enhancing export competitiveness, with financial policies being developed to support green product exports [20] - The demand for green finance tools is rising among export-oriented enterprises due to the EU's carbon border adjustment mechanism, prompting financial institutions to create diverse financial products to assist these enterprises [21]

Core Insights - The underwater data center in Shanghai represents a significant advancement in green computing, utilizing offshore wind energy to power its operations, thus reducing reliance on traditional fossil fuels [1][3] - This project addresses the challenges faced by large cities like Shanghai regarding land and energy consumption, providing a solution that allows for the establishment of data centers without occupying valuable land [3][5] - The successful implementation of this concept demonstrates the commercial viability of innovative technologies in the green infrastructure sector, positioning China favorably in the global dialogue on sustainable development [5][6] Group 1: Technological Innovation - The Shanghai Lingang project connects directly to an offshore wind farm, allowing it to operate primarily on clean energy, significantly reducing its carbon footprint and energy costs [3][6] - The data center boasts an energy efficiency ratio of below 1.1, which is considerably better than the industry average, leading to annual savings of 61 million kilowatt-hours [3][8] - The use of seawater for cooling not only reduces operational costs but also minimizes equipment failure rates, enhancing overall reliability [3][5] Group 2: Market Implications - The project is seen as a benchmark for future developments in other coastal provinces such as Guangdong, Zhejiang, and Shandong, with industry experts closely monitoring its first full-year operational report [8] - The competitive landscape is shifting as global tech giants like Google and Amazon seek to lower data center energy consumption, with China's underwater model potentially influencing other countries with extensive coastlines and wind resources [6][8] - The project has sparked interest in the entertainment industry, with studios exploring underwater data center services for data security and privacy, indicating a growing market for such innovative solutions [9] Group 3: Future Prospects - The initial high investment costs of underwater data centers must be justified by long-term energy savings and land use efficiency for widespread adoption [8] - Ongoing challenges include managing extreme marine weather conditions and long-term corrosion resistance, which will require continuous technological advancements [8][9] - The concept of "underwater computing tourism" has emerged, suggesting potential for public engagement and interest in these advanced infrastructures [9]

Group 1 - The core viewpoint of the article emphasizes the acceleration of high-quality development in the digital economy and the promotion of the national digital economy innovation development pilot zone in Sichuan Province [3] - Sichuan Telecom has implemented the provincial government's strategic deployment to support the development of artificial intelligence and quantum technology industries by providing essential infrastructure [3][4] - The company launched the self-developed artificial intelligence platform, the Starry MaaS platform, which offers comprehensive services covering data, models, and applications [3] Group 2 - Sichuan Telecom has established a quantum metropolitan area network in Chengdu and Mianyang, successfully creating several demonstration projects, including the first international quantum 0TN dedicated line for major events and the first commercial quantum encryption line for finance [3] - The company has developed the first fully domestic "four-computing integration" super node in Western China, achieving deep integration of quantum computing with general computing, intelligent computing, and supercomputing [3] - The recent construction of the first distributed green computing cluster in a high-altitude area in Ganzi Prefecture demonstrates the effective utilization of local hydropower resources and natural geographical conditions, significantly reducing operational costs [5]