Building an AI Factory Is a Stack Problem, Not a Shopping List
As NeoClouds and sovereign operators race to build AI factories, the real risk isn't sourcing GPUs — it's assembling a fabric, optics, cooling, and software stack that works together from day one. This blog breaks down EPS Global's validated AI infrastructure stack, covering merchant silicon and switching from Edgecore, Celestica, and UfiSpace; network operating systems including SONiC, IP Infusion's OcNOS, Aviz Networks, and Hedgehog; fabric visibility and interconnect from Aria Networks and MaiaEdge; and the physical layer — optics, connectivity, power, and cooling — from Coherent, Amphenol, Proficium, and Vertiv. Learn why sourcing each layer separately creates integration risk, and how a single validated relationship lets operators building AI inference put their capital toward more GPUs and more network instead of more engineers.
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Posted:
7/22/2026 by
EPS Global