Compute budgets allocate computational resources for machine learning tasks, limiting time, cost, or hardware usage. They optimize model training by setting thresholds for steps or iterations, preventing overruns. Data scientists and AI engineers benefit most, using budgets to control expenses in cloud environments while ensuring efficient experimentation and scalable deployment.
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