AI cluster storage networking is where many small GPU pods quietly become unreliable. The compute network may look healthy, but training jobs still stall because NFS reads, checkpoint writes, storage rebuilds and backup copies compete in the same queues.
This guide gives a practical design and troubleshooting checklist for RoCEv2, NVMe/TCP, NFS or parallel file system traffic in a modest AI cluster. It is written for engineers building private GPU pods, data center labs or SMB AI infrastructure without a huge observability stack. For adjacent topics, see the AI Infrastructure hub, Data Center Networking, and the Start Here page.
