Benchmarking Edge Computing

Comparing Google, Intel, and NVIDIA accelerator hardware

Alasdair Allan
30 min readMay 7, 2019

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Over the last year custom silicon, intended to speed up machine learning inferencing on the edge, has started to appear. No cloud needed. First to market was Intel with their Moividius-based hardware. However over the last couple of months we’ve seen the arrival of both Google, with their EdgeTPU-based hardware called Coral, and NVIDIA with their GPU-based offering the Jetson Nano.

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