This proposal aims to address the problem of resource allocation homogenization and the inefficient O&M in traditional networks. The proposal innovatively introduces the intelligent computing board to achieve real-time network state awareness and local reasoning. On one hand, it enables service identification at the base stations, providing differentiated resource guarantees for users; On the other hand, the intelligent computing board transforms passive maintenance into proactive prevention by automatically identifying faults and potential risks, thereby enhancing network stability. Moreover, it can automatically locate root causes and generate solutions with the service opening of the intelligent computing board, reducing manual intervention and improving O&M work order processing efficiency. In summary, the intelligent computing board enhances user perception through differentiated resource allocation and efficient O&M, which strengthens user stickiness and in turn elevates operators' competitiveness. Additionally, the capability of differentiated resource allocation enables operators to generate revenue from customized packages, while efficient O&M reduces their operational costs, bringing substantial commercial value to operators. From an innovation perspective, the intelligent computing board deeply integrates AI technology and the base station, and realizes precise scheduling of network resources through the closed-loop process of “perception-decision-execution”, thereby driving the construction of autonomous networks.