What edge computing is
Edge computing processes data at or near the source — on a factory floor, inside a vehicle, on a hospital device — rather than sending everything to a distant data centre. The fundamental advantage is latency: a self-driving car cannot wait 200 milliseconds for a cloud server to decide whether to brake.
Why it is growing now
Three forces are converging. First, the explosion of IoT devices generating data that would overwhelm centralised networks. Second, 5G networks providing fast, low-latency local connectivity. Third, powerful, energy-efficient chips that can run sophisticated AI inference on small devices.
Where it matters most
Industrial automation benefits enormously: a robot arm needs microsecond reaction times. Healthcare applications — continuous glucose monitors, cardiac implants — cannot tolerate cloud round trips. Smart cities process traffic camera feeds locally rather than streaming terabytes to the cloud.
The challenges
Managing thousands of geographically dispersed edge nodes is harder than managing a single data centre. Security surface area expands dramatically. Updating software across many devices reliably is a significant operational challenge.