AI Traffic Breaks Traditional Network Design

Most networks were designed for north-south traffic. Users request data. Servers respond. Bursts come and go. AI does not behave that way.

Training workloads generate sustained east-west flows between compute clusters. Model checkpoints move in waves. Synchronization traffic spikes across nodes. Storage and compute exchange data continuously rather than occasionally.

This is not internet traffic. This is infrastructure traffic.

When networks built for web traffic carry AI workloads, bottlenecks show up fast. Not at the edge. Inside the fabric.

FD-IX.ai is establishing interconnection hubs in markets where demand is now and will be in the future. These locations are selected for their ability to support sustained infrastructure workloads, not just edge delivery.

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