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MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from {\mu}Watts to MWatts for Sustainable AI
Rapid adoption of machine learning (ML) technologies has led to a surge in power consumption across diverse systems, from tiny IoT devices to massive datacenter clusters. Benchmarking the energy efficiency of these systems is crucial for optimization, but presents novel challenges due to the variety of hardware platforms, workload characteristics, …