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@@ -36,7 +36,7 @@ These improvements only account for checkpoint save efficiency, representing a "
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Any job interruptions will also benefit from the improved checkpoint recovery times.
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While [ML runtime goodput](https://cloud.google.com/blog/products/ai-machine-learning/goodput-metric-as-measure-of-ml-productivity) is important, we focus on overall job time as an end-to-end metric, as it is simpler and allows for straightforward _total_ cost comparisons.
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Goodput can be misleading if improvements to unproductive time actually worsen productive time, and the change in total evaluation period (job time) is not taken into account.
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Runtime goodput alone can be misleading if improvements to unproductive time actually worsen productive time, and the change in total evaluation period (job time) is not taken into account.
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