据了解，青海省通过制定绿色算力地方标准，建成中国首个100%清洁能源可溯源绿色大数据中心和共 享储能市场化交易平台，为数据要素市场化配置奠定基础。 截至目前，青海省已建在建标准机架约19万架，已建标准机架使用率超95%，算力规模超1.7万 PFLOPS(每秒执行1千万亿次浮点运算)，初步形成"通算+智算+超算"综合算力供给体系。头部企业竞相 落地，绿色算力产业集聚成势。 中新社西宁9月21日电 (李隽)青海省数据要素流通服务创新中心21日在2025首届青海数据要素生态大会 上揭牌。该中心将为数据要素流通交易提供全链条服务支撑，打造"政产学研用"多方协同的创新生态。 青海省地理位置独特，目前电力总装机突破7100万千瓦，清洁能源、新能源装机占比分别达94.6%、 70%。去年青海成为中国首个绿色算电协同试点省。绿色算力具备节能、环保、低功耗等特点。 "我们建成全国首个清洁能源和绿色算力调度中心，全面接入三大运营商和青海大学等5家算力中心算力 资源数据，青海电信、青海联通、青海移动绿电占比均达95%左右，绿色算电协同展现广阔前景。"青 海省数据局局长靳力说。 "青海地处丝绸之路经济带的重要支点，具备构建'数字丝绸 ...

Core Insights - The establishment of the first clean energy and green computing scheduling center in Xining, Qinghai Province, aims to integrate power and computing resources for enhanced efficiency and monitoring [1][3] - Qinghai Province has made significant strides in clean energy development, with total installed power capacity exceeding 71 million kilowatts and a clean energy share of 94.6% [3] - The scheduling center provides various services including power grid safety monitoring, clean energy monitoring, and green computing resource management [3][5] Group 1 - The scheduling center is operated by Qinghai Green Energy Data Co., Ltd., and is built on an existing big data center platform [1] - The center has already provided services to 290 enterprise users, enabling centralized monitoring of 558 clean energy power stations and power forecasting for 175 renewable energy stations [5] - The center has developed a green electricity traceability model, supporting an annual average of over 90% green electricity application ratio in provincial computing centers [6] Group 2 - The center has connected data from three major telecom operators and Qinghai University’s supercomputing center, with a total of 7,650 racks and 17,851 servers, achieving a total computing power of 15,521 PetaFLOPS [6] - The integration of clean energy and computing industries is expected to further enhance collaborative development [3] - The centralized monitoring system has significantly reduced labor costs for companies operating multiple dispersed power stations [5]