Infrastructure
Edge AI
Running AI directly on the device (phone, camera, car) instead of sending data to the cloud, faster and more private.
Definition
The deployment of AI models directly on edge devices (smartphones, IoT sensors, vehicles) rather than in centralized cloud servers. Reduces latency, bandwidth costs, and privacy risks.
Why it matters
Critical for real-time applications like autonomous vehicles and industrial robotics where cloud latency is unacceptable.
Related terms in Infrastructure
API
A digital plug or messenger that lets two different software programs talk to each other.
API Gateway
The security guard at the front door of your software that checks IDs and directs traffic.
Cloud Computing
Renting powerful computers over the internet instead of buying and keeping them in your own office.
Feature Store
A centralized library where pre-computed data features are stored and shared across teams and models.
From vocabulary to outcomes
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