The domestic AI computing power industry is shifting towards standardized infrastructure construction, and the industry calls for a “transaction fulfillment foundation”.

As the daily average number of Token calls in China’s AI computing power industry exceeds 140 trillion, the scale of the computing power leasing market is expected to reach 260 billion yuan by 2026. The industry is facing structural challenges such as the lack of a unified price curve, the absence of standardized contracts, and the failure to establish a fulfillment system. Currently, the lack of neutral trading infrastructure between supply and demand hinders the industry’s transition from resource competition to efficiency and rule-based competition. KAI (Zhengtong Bixin)’s periodical computing fulfillment platform was developed to build public fulfillment infrastructure, without producing Tokens or holding computing power assets. This platform focuses on filling in the gaps in standardized measurement, public pricing, unified settlement, and a complete fulfillment cycle, establishing a nine-step full-life-cycle management system covering from model approval to fulfillment archiving. It also uses full prepayment and capacity registration guarantee mechanisms to mitigate risks, aiming to create a complete periodical computing fulfillment market suitable for domestic scenarios.