By processing data locally and forwarding only the results or aggregates rather than raw inputs, edge processing can reduce upstream bandwidth requirements by orders of magnitude in data-intensive scenarios. For workloads generating video, sensor telemetry, or high-frequency logs, the savings on transit and cloud egress fees often justify the edge investment on their own. The savings scale linearly with data volume.
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