Sharing low-carbon computing hardware and the leasing model help with the green transformation of AI. Based on the dual-carbon development goals and the demands of digital economic development, the green and intensive upgrading of computing infrastructure has become a trend.
The computing power leasing integrates new-generation low-power servers, liquid cooling systems and other low-carbon hardware to build a large-scale shared computing resource pool. Through centralized operation and dynamic computing power scheduling, it effectively reduces equipment idleness and ineffective energy consumption, significantly reducing overall carbon emissions compared to the decentralized self-construction model. This model not only provides elastic and stable computing power support for AI large-model training, algorithm research and development, and scenario applications, enabling enterprises to achieve light-asset operation, but also promotes efficient utilization of computing power through resource sharing, empowering the AI industry to complete the green and low-carbon transformation and achieving the coordinated development of economic benefits and ecological benefits.