Editorial Team ⁽²⁴⁾

Edge AI tablet ODM sourcing starts with one question the marketing sheets dodge: how much on-device NPU does your fleet actually need? Asking that before you negotiate MOQ and per-unit cost separates real edge-AI compute requirements from TOPS headlines. This guide walks validation-first buyers through…

The Single-Unit Pilot Problem: No Fleet to Absorb Over-Spec A single-unit pilot changes the math of every AI-hardware decision. In a fleet rollout, an over-specced accelerator is amortized across thousands of units, spare headroom is cheap, and engineering time is spread over many builds. When…

On-Device Vs Cloud Ai Compute For Self-Service Kiosks is the decision framework examined in this guide. The sections below turn sourced evidence into practical comparison criteria without overstating what the available research can prove. The on-device vs cloud AI compute decision for self-service kiosks comes…

Kiosk AI accelerator sizing (compute headroom vs cost) is the decision that separates a deployable edge system from a box that stalls at launch. When voice ordering, facial-recognition check-in, and loss-prevention vision ship together in one kiosk, the sizing question is not “how many TOPS…

Why the SoC and memory choice decides whether your AI display runs on-device The SoC choice for AI digital-human displays comes down to one trade: how much compute headroom you buy against how much you pay for the memory that feeds it. A conversational AI…