It is well-known that GPUs are the typical go-to solution for large machine learning (ML) applications, but what if GPUs were applied to earlier stages of the data-to-AI pipeline? For example, it would be simpler if you did not have to switch out cluster configurations for each pipeline processing stage. You might still have some questions: At AT&T, these questions arose when our��
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