Distributed AI training across wide-area networks creates major networking challenges. Coordinating thousands of GPUs over hundreds of kilometers requires overcoming severe latency and bandwidth bottlenecks. AI developers must account for these infrastructure limits when scaling model training across multiple datacenters.
Opening Kapyn…