• Ml Edge 3 609edb922f10a

    FPGAs and eFPGAs Accelerate ML Inference at the Edge

    May 18, 2021
    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.
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    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.

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