According to the official account of Zentong Electronics, the computing power operation service platform independently developed by the company was recently officially launched for external operation. According to reports, the utilization rate of traditional computing power resources is less than 40% due to problems such as geographical dispersion, structural differences, and inefficient scheduling. Through the construction of an integrated computing power sensing and scheduling network, the Zentong Computing Power Operation Service Platform is based on AI-driven intelligent scheduling algorithms, multi-level computing power network architectures, and computational power sensing scheduling systems, etc., while providing efficient computing power while saving energy and reducing carbon, effectively promoting the “flow” of computing power.

According to the official account of Zentong Electronics, the computing power operation service platform independently developed by the company was recently officially launched for external operation. According to reports, the utilization rate of traditional computing power resources is less than 40% due to problems such as geographical dispersion, structural differences, and inefficient scheduling. Through the construction of an integrated computing power sensing and scheduling network, the Zentong Computing Power Operation Service Platform is based on AI-driven intelligent scheduling algorithms, multi-level computing power network architectures, and computational power sensing scheduling systems, etc., while providing efficient computing power while saving energy and reducing carbon, effectively promoting the “flow” of computing power.