Fine-tuning pretrained CNNs on ImageNet used far less electricity when weights were quantized to about 8 to 13 bits, while pruning and low-rank factorization did not reliably reduce energy.
Uptime Institute Blog: Global PUEs — Are they going anywhere?https://journal.uptimeinstitute.com/global-pues-are- they-going-anywhere/, 2023
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Energy Considerations for Large Pretrained Neural Networks
Fine-tuning pretrained CNNs on ImageNet used far less electricity when weights were quantized to about 8 to 13 bits, while pruning and low-rank factorization did not reliably reduce energy.