Latency and cost per task measure how quickly and cheaply a system completes individual jobs. It is used to optimize cloud computing, AI model inference, and data pipelines for efficiency. Developers and operations teams benefit by balancing speed and expenses, ensuring applications stay responsive while controlling budgets.
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