Distributed Computing: The Infrastructure Shift AI Demands
TechTarget, Tuesday, August 19th, 2025
AI's energy and latency demands are shifting compute from centralized hyperscale data centers to the edge.
The rise of AI is exposing limitations in the traditional centralized data center model. Goldman Sachs forecasts global data center power demand could increase 165% by 2030 due to AI growth, while hyperscale operators struggle to secure sufficient electricity capacity.
Rather than concentrating compute in massive facilities, organizations are increasingly deploying workloads closer to users, devices, and renewable energy sources.
This distributed compute continuum reduces latency, improves bandwidth efficiency, and enhances infrastructure resilience while mirroring how power generation decentralized toward renewable systems.