The private AI training platform deployed by the company for a major commercial bank is officially online. The platform is built on in-house compute servers, reducing computing costs by more than 50% compared to public cloud solutions.

The platform adopts a hybrid cloud architecture, supporting elastic scheduling of local and cloud compute, meeting the bank's strict requirements for data security and compliance. The platform integrates a full-process toolchain including model training, inference deployment, and monitoring operations, significantly improving AI application development efficiency.

Using this platform, the bank successfully trained multiple core AI applications including risk control LLMs and intelligent investment advisor models, with model accuracy improved by 15% and business processing efficiency by 30%, providing strong support for digital transformation.