Inference power efficiency measures how much computational energy AI models consume when making predictions. It’s optimized by pruning, quantization, and specialized hardware, enabling faster, cheaper real-time processing. Developers, cloud providers, and edge-device manufacturers benefit, as reduced energy costs lower operational expenses and extend battery life in smartphones, IoT sensors, and autonomous systems.
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