The future of this is hybrid. As generative AI adoption grows at record-setting speeds1 and drives higher demand for compute . 2 AI processing must be distributed between the cloud and devices for it to scale and reach its full potential . Just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices. A hybrid AI architecture distributes and coordinates its workload
among cloud and edge devices, rather than processing in the cloud alone. The cloud and edge devices, such as smartphones, vehicles, PCs, and IoT devices, work together to deliver more powerful, efficient, and highly optimized .
