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Achieving an 18% boost in energy-tardiness efficiency, SMART-MIG redefines GPU scheduling for energy-conscious machine learning applications.
Dynamic repartitioning can reduce energy consumption by up to 68% compared to static scheduling methods in AI/ML workloads on Multi Instance GPUs.
