Core Insights - SPDB is accelerating the application of large model technology in its digital transformation strategy, having established an artificial intelligence center to enhance AI technology iteration and application [1][2] - The bank is building a data center in Hohhot, which will support its large-scale, low-cost computing needs and facilitate the deployment of intelligent computing capabilities [1][2] Group 1: AI Application and Infrastructure - SPDB is constructing a "four-in-one" intelligent foundation that integrates computing power, algorithms, platforms, and knowledge to transition AI from pilot projects to large-scale applications [1] - The bank has developed a heterogeneous computing cluster based on Huawei Ascend servers, overcoming the "computing power bottleneck" and enabling extensive deployment of large model scenarios [1][2] Group 2: Data Center and Technical Support - The Hohhot data center will provide a unified management platform for intelligent computing clusters, ensuring comprehensive coverage of various scenarios to support SPDB's intelligent transformation [2] - The design of the data center focuses on safety, energy efficiency, intelligence, and flexible management to meet the needs of intelligent computing deployment [1][2] Group 3: Model Evaluation and Algorithm Development - SPDB has integrated over 30,000 scenario data points to create a multi-modal evaluation system that assesses large model algorithms across four dimensions: general capabilities, financial knowledge, security capabilities, and technical levels [2] - The bank has introduced various large models, such as DeepSeek and Qwen, to build a matrix of multi-modal, multi-capability algorithms for tasks like financial report analysis and document generation, significantly enhancing operational efficiency and service quality [2]