This report focuses on what is commonly termed scale out and scale across: the connections between clusters in AI datacenters, as well as the interconnections between datacenters, and between datacenters and the network edge.
Networking for AI is unprecedented in its complexity, challenging even the most technically seasoned of enterprise users.
Ethernet remains the preferred datacenter network.
The challenges of networking for AI are forcing enterprise customers to look outward. Hyperscalers, neoclouds, and altscalers are benefiting from demand for AI help.
Services and solutions that address the need to deploy AI at the network edge are on the rise.
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