On the afternoon of March 17, at the Data Storage 2026 New Spring Launch Event, Huawei introduced a state-of-the-art AI data infrastructure specifically crafted for AI inference scenarios. This comprehensive infrastructure encompasses an AI data platform optimized for centralized training and inference environments, alongside the FusionCube A1000 hyper-converged all-in-one machine, tailored for branch edge inference scenarios. This strategic initiative is designed to elevate the AI inference experience, boost inference efficiency, substantially reduce the hurdles in deploying inference solutions, and propel the swift advancement of AI commercial applications. The AI data platform seamlessly integrates a knowledge base, KV Cache acceleration, and memory bank functionalities, facilitating unified management and scheduling via UCM technology and enhancing Agent inference precision by 30%. Meanwhile, the FusionCube A1000 hyper-converged all-in-one machine supports full-stack deployment of both general and intelligent computing, is compatible with leading agents and large-scale models, can slash the AI application launch timeline by 80%, and optimize computing power utilization by 30%.