Intel is investing heavily in combining their chips with FPGAs for lower computation times
Investigating the benefits of real time FPGA-powered AI for lower operational costs in manufacturing and rapid diagnoses of diseases in healthcare
By decreasing the computational costs generally associated with using AI models, Intel is aiming to allow developers and researchers to scale up their models with less bottlenecks
One way they are doing this is using FPGAs at cloud centers with Azure such that users need less hardware overhead to do large and complex calculations