Can Edge Computing Make AI More Sustainable?
TechTarget, Tuesday, August 19th, 2025
Edge computing can cut AI's energy demands by processing data locally, but it does not suit all workloads.
AI's power requirements are driving U.S. data center demand to double by 2027, with AI accounting for 27% of global data center usage.
Edge computing offers sustainability advantages by reducing data transmission energy, optimizing localized processing, and eliminating cooling overhead that consumes up to 30% of data center energy.
Edge AI works best for latency-dependent applications in connectivity-limited environments, while cloud remains superior for large-scale training and frequent model updates. Organizations should track metrics such as energy per inference and carbon footprint per workload to measure sustainability benefits.