- Edge growth faces major constraints from interconnect delays and water-dependent cooling systems.
- Edged is pursuing water-free technologies and on-site energy generation to boost sustainable AI infrastructure.
What happened: Power and water top the risk list
At Datacloud USA, Mitch Fonseca, Chief Operating Officer of Edged, said the most critical challenges for new edge data centres are dependable energy, faster grid interconnects, and sustainable cooling. Many regions hosting new facilities still face grid congestion and long interconnection queues, slowing expansion for AI-ready deployments.
The discussion also highlighted growing scrutiny over water use. Fonseca pointed out that traditional evaporative cooling consumes significant potable water—a resource increasingly scarce in key data-centre regions like Arizona and Texas. He referenced Water Usage Effectiveness (WUE) as a critical sustainability metric and encouraged adoption of liquid cooling to handle the heat of AI chips without relying on water-heavy systems.
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Why it’s important
The rapid growth of AI workloads is reshaping how data centres consume energy and water. Edge computing promises faster response times, but its distributed nature multiplies power requirements and environmental footprints across many smaller sites. Fonseca warned that without strong sustainability standards, edge networks could replicate the inefficiencies of traditional hyperscale facilities. His remarks underline the industry’s shift toward integrating environmental planning, cooling innovation, and local energy resilience into every stage of development.
Since taking the COO role at Edged in 2024, Fonseca has overseen projects promoting “water-free” cooling and on-site renewable power integration. Edged has expanded its alliance with PowerSecure to deliver resilient microgrid solutions in multiple US markets, including Atlanta and Chicago. These systems are designed to maintain uptime during grid stress while reducing potable-water use. Yet questions remain: can such designs scale affordably, and will regional regulations keep pace with their technical demands? For now, Fonseca’s call for site-level sustainability signals a pragmatic step—linking AI expansion with responsible infrastructure planning.
