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MLPerf Storage tests the performance of storage for training workloads, whereas inference workloads are loaded entirely in the GPU therefore do not exercise storage for their post-model-loading operation. What about fine-tuning? Haven't yet read on the subject and should.
The text was updated successfully, but these errors were encountered:
MLPerf Storage tests the performance of storage for training workloads, whereas inference workloads are loaded entirely in the GPU therefore do not exercise storage for their post-model-loading operation. What about fine-tuning? Haven't yet read on the subject and should.
The text was updated successfully, but these errors were encountered: