Question

An AI infrastructure team is designing the compute fabric for a multi-node DGX H100 SuperPOD cluster. They want to maximize the performance of distributed training collective operations (like all-reduce) across many nodes while ensuring each GPU has a dedicated, predictable path into the InfiniBand fabric. Which network design approach should they adopt for the compute fabric?

Accepted Answer

A rail-optimized InfiniBand topology where each GPU's dedicated NIC connects to a corresponding leaf switch rail across all nodes

Answer

A single shared 100GbE Ethernet switch aggregating all node traffic through one uplink

Answer

Rely solely on intra-node NVLink/NVSwitch and connect nodes with a single management-network cable

Answer

A converged fabric that routes both storage and compute traffic through the same oversubscribed spine to reduce switch count