FPGAs and eFPGAs Accelerate ML Inference at the Edge

With ML models in their infancy, there is a need for flexible HW architectures that allow the acceleration of changing models. Learn why FPGAs, that combine high performance and flexibility, are an ideal solution for edge inference applications.

May 18, 2021

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.