aiqbench analysis

The article addresses the specific networking challenges inherent in scaling distributed AI training across geographically separated datacenters, making it central to the infrastructure required for large-scale machine learning models. This is not merely a general connectivity story but focuses on the unique latency and synchronization issues that directly impact AI model convergence and efficiency at scale.