When adding ML capabilities to an edge device where responsiveness or power efficiency is critical, a neural processing unit may be the best solution.
Repurposing a CPU, GPU, or DSP is an easy way to add ML capabilities to an edge device. However, where responsiveness or power efficiency is critical, a dedicated Neural Processing Unit (NPU) may be the best solution. In this paper, we describe how the Arm Ethos-N77 NPU delivers optimal performance.
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