Building an AI Factory Is a Stack Problem, Not a Shopping List

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. Read article

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. 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.

EPS Global
Drone Navigation with Broadcom Time-of-Flight Sensors

Drone Navigation with Broadcom Time-of-Flight Sensors

The AFBR-S50 is a high-end distance measurement sensor based on the indirect Time-of-Flight (iToF) principle. It packs everything needed for optical ranging into aCompact, laser-based distance sensing that keeps drones flying accurately when GPS can't — from precision altitude hold and indoor navigation to trigger sensing for interceptor platforms. single 12x12x8 mm module. Read article

Drone Navigation with Broadcom Time-of-Flight Sensors

The AFBR-S50 is a high-end distance measurement sensor based on the indirect Time-of-Flight (iToF) principle. It packs everything needed for optical ranging into aCompact, laser-based distance sensing that keeps drones flying accurately when GPS can't — from precision altitude hold and indoor navigation to trigger sensing for interceptor platforms. single 12x12x8 mm module. The AFBR-S50 is a high-end distance measurement sensor based on the indirect Time-of-Flight (iToF) principle. It packs everything needed for optical ranging into aCompact, laser-based distance sensing that keeps drones flying accurately when GPS can't — from precision altitude hold and indoor navigation to trigger sensing for interceptor platforms. single 12x12x8 mm module.

EPS Global

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