How is AI changing datacenter network fabrics?

EXPLAINER AI workloads are overwhelming the traditional datacenter fabrics they run on. Here's what's replacing them.

The network has become the nervous system of any organization running AI at scale. A single distributed training run can chew through thousands of GPUs for weeks, and one congested uplink can slash throughput by more than 30 percent. Plenty of datacenter networks aren't keeping up now that AI sits at the center of the workload.

The traffic itself has changed. China’s daily AI token consumption jumped from roughly 100 billion a day at the start of 2024 to more than 30 trillion by mid-2025. That's a 300-fold rise in 18 months, by official count. Machines do more of the talking now, too: bots and agents make up 51 percent of internet traffic, outnumbering humans for the first time in a decade.

These pressures are forcing companies to change the way they...

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