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Summary

In today’s landscape, running AI directly on local devices (edge AI) has moved from novelty to necessity — we’ve reached an inflection point where the question is no longer “Why edge AI?” but “How do we implement it effectively?” This white paper will answer that question by exploring the technical landscape of edge AI, design considerations for on-device models, real-world use cases and benchmarks, and the challenges of managing edge AI at scale.

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