Three GPU jobs land on one desk: wrangle a giant CSV, train a classical GPU model, and run community detection on a huge network. Which RAPIDS libraries match those jobs?
Select an answer to reveal the explanation.
Short Explanation
Wrangle a giant CSV with cuDF, train a classical GPU model with cuML, and run community detection with cuGraph. Swapping those names, or replacing them with an LLM, misses the family.
Full Explanation
Associate RAPIDS selection: cuDF wrangles tabular data, cuML trains classical GPU models, and cuGraph runs graph analytics. Swapping those names, or replacing them with an LLM or NCCL, misses the family.