
In an era where artificial intelligence is pushing the boundaries of computational demand, data centers are grappling with unprecedented challenges in efficiency and scalability, especially in AI factories that power cutting-edge innovations. The sheer volume of data processed by GPU clusters for machine learning and deep learning applications has exposed critical bottlenecks in traditional interconnect technologies. These limitations not only