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Cloud, edge or on-prem? Navigating the new AI infrastructure paradigm
In this age of AI, more enterprises adopting hybrid infrastructures, as they can exploit the different advantages of cloud, edge and on-prem.
“The pendulum between the edge and the cloud and all the hybrid flavors in between has kept shifting over the past decade,” Priyanka Tembey, co-founder and CTO at runtime application security company Operant, told VentureBeat. AI, notably, is driving the shift to hybrid cloud and edge because models need more and more computational power as well as access to large datasets, noted Miguel Leon, senior director at app modernization company WinWire. Tembey also pointed out that a hybrid approach with a combination of AI that runs locally on a device, at the edge and in larger private or public models using strict isolation techniques can preserve sensitive data.
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