FPGAs and eFPGAs Accelerate ML Inference at the Edge

Many industries are rapidly adopting machine learning (ML) to gain insights on the ever increasing data from billions of connected devices. This, combined with a demand for low latency, drives a growing push to move inferencing hardware closer to the location where the data is created. This white paper will describe why FPGA-based hardware accelerators are required in order to eliminate network dependencies, significantly increase performance, and reduce the latency of the ML application.