Qinghai achieves "Green Computing" resource monitoring and integrated scheduling

People’s Finance News, March 27—The reporter learned at a promotional meeting for the development of Qinghai’s green computing power industry held in Beijing on the 27th, that through Qinghai Province’s clean energy and green computing power dispatching center, Qinghai is able to monitor, allocate, and trace clean-energy generation output from various types of new energy power plants within the province, as well as the energy-use situation of computing power centers. At present, the annual proportion of green electricity used by computing power centers across Qinghai Province has all reached more than 90%. In recent years, Qinghai has focused on building a national hub for the clean energy industry, vigorously developing solar photovoltaic and wind power, and steadily advancing hydropower development. By the end of 2025, Qinghai Province’s installed capacity of clean energy has exceeded 79 million kilowatts, with clean energy accounting for more than 93% of total installed capacity; clean energy generation has accounted for 89% of total generation. Driven by the development layout of “1+2+N” green computing power bases, Qinghai Province’s green computing power industry has achieved notable results. By the end of 2025, Qinghai Province had cumulatively built 40,000 standard racks, with a computing power scale of 22,000 P (PFlops, meaning tens of trillions of floating-point operations per second). It is reported that the clean energy and green computing power dispatching center in Qinghai Province has fully integrated computing power center resources and energy-consumption data within the province, to build a green electricity traceability model, monitor in real time the trend of green electricity use by computing power centers in the province, and dynamically analyze the entire process of green electricity production, transmission, and utilization. The dispatching center also determines optimal computing power task dispatching loads by integrating and analyzing multi-dimensional basic information such as Qinghai’s provincial energy forecasting and planned output conditions, peak/valley and time-of-use electricity pricing policies, and historical load data of computing power centers, and then pushes the dispatching to computing power centers to carry out computing power task adjustments. This guides the computing power load curve to respond to the clean energy supply curve and improves the capacity to utilize clean energy. (Xinhua News Agency)