Research on the Practical Application of Multimodal Architecture-Based Intelligent Computing Services

This paper focuses on the practical application of multimodal architectures in the field of intelligent computing services. By elaborating on key application scenarios such as audiovisual semantic understanding and image-text generation, the study explores system optimization strategies including hybrid architecture deployment and model compression and acceleration. It also clarifies the challenges faced in real-world deployment, such as data quality and cross-modal consistency, and proposes targeted solutions such as standardized annotation and dynamic verification. The research results serve as a reference for the technical implementation and industrial development of multimodal intelligent computing services, helping to address technical and managerial issues encountered in practical applications.