Edge placement pocket deck
Recall placement heuristics for common edge AI architecture trade-offs.
Placement Device inference versus gateway inference Use reach and effort together: many sensors in one site often point to gateway before per-device compute. Objection Cloud is easier to update, so why not keep inference there? Use this when the workflow has a hard local action deadline. Your line If the action is time-critical or must survive network loss, cloud can own training and review, but the urgent decision needs a local path. Do not argue that edge is always better. Tie the answer to impact and confidence. It acknowledges cloud strengths while protecting the highest-impact local behavior. Recall When is…
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