Profiling

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Profiling is about understanding how a system uses computing resources while it runs. It helps teams see where time is being spent and which parts of the system are slowing things down. In machine learning, profiling can show whether delays come from data loading, model computation, or other processing steps.

By using profiling, developers can focus their efforts on the parts that matter most for performance. This is especially helpful when trying to make training faster or reduce prediction delays. Profiling tools give a clear picture of how resource usage changes over time, which makes it easier to spot problems early. Regular profiling helps keep systems fast and stable as they grow and handle larger workloads.

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