AI Inference Network Design for GPU Servers: RDMA, Segmentation, and Zero-Trust at the Host Layer

Latency spikes in AI inference are rarely caused by the model alone. In real deployments—whether you run GPU inference on VPS instances, dedicated servers, or colocation racks—the network is often the hidden bottleneck: retransmits, queue buildup, MTU mismatches, and overly broad trust boundaries can turn