Question
A company runs nightly training on a large GPU instance, but profiling shows the algorithm is CPU-bound and spends most time waiting on data reads. Costs are high and training is slow. What should be evaluated first?
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A company runs nightly training on a large GPU instance, but profiling shows the algorithm is CPU-bound and spends most time waiting on data reads. Costs are high and training is slow. What should be evaluated first?
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