What Is Edge AI? Edge Computing Examples and Benefits
Couchbase, Monday, September 7th, 2026
Couchbase explains how edge AI runs inference near where data is created and what its data layer needs.
The Couchbase blog defines edge AI as running inference on devices, gateways or edge servers near the data source rather than in the cloud. Models are trained in the cloud, compressed and deployed locally, powered by NPUs and accelerators from Qualcomm, Apple and NVIDIA.
It compares edge AI with cloud, on-device and on-premises AI, and highlights benefits such as low latency, privacy, offline operation and bandwidth savings. The post argues the data layer is critical, requiring offline operation, local vector search and bidirectional cloud sync, which Couchbase Lite provides.
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