Researchers from MIT and IBM have developed EnergAIzer, a rapid prediction tool that estimates AI workload power consumption on various processors or AI accelerator chips within seconds. This advancement helps data center operators optimize resource allocation for energy efficiency and enables developers to assess potential energy usage before deployment, crucial as AI's growth increases data center electricity demand significantly by 2028.
Read the full article at MIT News - Machine learning
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