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This research aims to analyze the economic factors of deploying Edge AI, focusing on on-device inference versus cloud-based solutions.

July 21, 2026Open Access

Edge AI Deployment Economics: On-Device Inference vs Cloud Round-Trip at Scale

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This research aims to analyze the economic factors of deploying Edge AI, focusing on on-device inference versus cloud-based solutions.
Comparative analysis of costs associated with on-device inference and cloud round-trip operations.
Evaluation of scalability impacts on deployment economics.
Consideration of performance metrics and energy consumption related to both approaches.
On-device inference proves economically favorable with lower long-term operational costs.
Cloud round-trip incurs higher latency and increased cost per transaction at scale.
Scalability favors edge deployment in resource-constrained environments.

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Research article compares on-device inference and cloud round-trip costs in Edge AI deployment, indicating economic implications at scale.

Research article: Edge AI Deployment Economics: On-Device Inference vs Cloud Round-Trip at Scale

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Ивченко et al. (2026) studied this question.

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Research article compares on-device inference and cloud round-trip costs in Edge AI deployment, indicating economic implications at scale.

Research article: Edge AI Deployment Economics: On-Device Inference vs Cloud Round-Trip at Scale