CLOUD COMPUTING
Waymo car
This is further propelled by the fact that today’ s digital economy runs on immediacy. A few milliseconds can separate a safe self-driving manoeuvre from a crash or be the difference between a seamless video stream and a frustrating buffer wheel. Edge systems achieve this responsiveness by blending the best of both worlds – using local processing for the time-critical, privacy-sensitive or high-bandwidth tasks, while still syncing with the cloud for model training, fleet coordination or large-scale analytics.
And, as AI becomes embedded in everything from traffic management to retail checkout, the interplay between cloud and edge will define computing’ s next decade.
STL Partners predicts that the edge computing market will reach US $ 424bn by 2030 thanks to the ongoing boom in content delivery and computer vision, with connected vehicles, IoT devices and smart infrastructure also predicted to impact this upward trajectory. This means that enterprise architects now face a new design challenge: placing workloads optimally across a continuum that stretches from massive hyperscale data centres to tiny chips inside wearables.
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