
Modern artificial intelligence training clusters have reached a critical inflection point where the traditional limitations of data interconnects are no longer just a minor bottleneck but a total barrier to sustained performance scaling. As large language models and multi-modal generative systems grow in complexity, the demand for high-speed, low-latency communication between processing units has skyrocketed, forcing hardware engineers to rethink










