Hear Jay Jenkins from Akamai explain what AI at the edge means
What does one define AI at the edge for the layman? Hear Jay Jenkins from @akamai explains the technology and what it means for businesses.
“What we’re offering is single-digit millisecond latency endpoints for people to run AI. And they don’t necessarily have to overload devices, they can actually offload devices and push that back onto the cloud or move some of these workloads from these core computing regions to the edge to run more efficiently with lower latency. So if you’re struggling over 10 to 20 milliseconds in your model, you can gain 40 to 100 milliseconds simply by moving that to the edge, and that’s extremely important and extremely valuable. AI at the edge is about what the Linux Foundation would refer to as Access Edge, which is the edge at the telco. Now there are other edges as well, right? Edges premise. Even your device right, is considered an edge endpoint. But where we’re really focused is access edge. And that is simply because, over the past 25 years, that’s what Akamai’s been building. we’ve been building a global network and we have over 4,100 points of presence. And it would be a shame, not to let our customers take advantage of our global footprint in order to push AI out to the edge.” – Jay Jenkins
Main Site: https://www.analyse.asia/akamai-cloud-computing-edge-ai-with-jay-jenkins/
Full YouTube Video: https://youtu.be/kVoyRnDZQxw
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by Analyse Asia
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