Tangibles Compute Locator

Decide where compute and AI should live — on the device or in the cloud — and see whether it's viable at the scale you're planning. Pick a device type, set placement, connectivity and the data it produces, then calculate cost, latency and bandwidth feasibility.

Educational sizing aid — it provokes the architecture decision; it is not a billing quote or an SLA. It sizes transmitted data, connectivity and latency. It does not compute AI/LLM token throughput or inference cost — “AI on the edge/cloud” here only changes how much data you transmit and where the decision latency lands, not the model’s compute bill.