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Machine Learning With RAPIDS
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Question 7 of 32

In an accelerated data science study session, the discussion is comparing several plausible options. Which choice best applies the documented guidance for multi gpu support?

AChoose a generic CPU-only path without checking the documented accelerated option.
BPick a tool only because its name sounds familiar instead of matching it to the workflow need.
CSkip measurement and assume performance or reliability will be fine without verification.
DCuML supports multi-GPU and multi-node scaling through Dask.

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