AI workloads refer to computational tasks that require significant processing power to train and run machine learning models. These include data preparation, model training, inference, and real-time analytics. Industries like healthcare, finance, and autonomous driving benefit from faster predictions, automation, and enhanced decision-making, leveraging GPUs or cloud infrastructure for efficiency.
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