thinQmaster Virtual testing partner Adaptive practice exams that find your weak spots and drill them. Every answer explained. From $69
Enroll

thinQmaster

Find your exam

Five questions free, before you decide.

Step 1 · choose a vendor

In one of our camps? Your practice exams come with the tuition — they are on your study page already.

AI & Machine Learning · Intermediate

Edge AI

Running AI inference on devices near the data source, such as cameras, robots or phones, rather than in the cloud.

Definition

Edge AI reduces latency and bandwidth and keeps data local for privacy. It relies on efficient models (quantized, distilled) and hardware such as NVIDIA Jetson modules, NPUs and mobile SoCs.

Exam tip

Pick edge deployment when connectivity is limited or latency and privacy are critical.

Related terms