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AI factories may move far more data through private data-centre links than public internet traffic figures reveal. That is the central point of a new RIPE Labs article on the networks behind AI infrastructure.
Why it mattersThe article says training and inference rely on internal fabrics and optical interconnects, alongside substantial power supplies. For operators and fibre providers, the practical challenge is planning around energy availability and the needs of specific workloads, not just public traffic trends. A useful reminder that the internet’s most important AI plumbing may be the part ordinary traffic charts barely show.
Discuss: Should infrastructure planning follow public traffic metrics, or the private networks and power demands behind AI workloads?
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