When Data Scientists target the edge, what specific metrics do they optimize for besides accuracy?

Answer

Inference latency and FLOPS per Watt.

Data Scientists focusing on edge deployment must optimize their models not just for accuracy, but also for operational efficiency, prioritizing metrics like how quickly the model makes a prediction (latency) and how much computation it performs per unit of power (FLOPS per Watt).

When Data Scientists target the edge, what specific metrics do they optimize for besides accuracy?

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