A river-gauge station's 15-year stage archive is larger than the memory of the one GPU on the bench. How should they ingest it without discarding the science?
Select an answer to reveal the explanation.
Short Explanation
A 15-year river-gauge archive bigger than the bench GPU belongs on Dask cuDF so the table can exceed one device. Do not crash and keep only last month, write NCCL collectives, or downsample into a laptop spreadsheet.
Full Explanation
Larger-than-memory ingest is the official reason to use Dask cuDF. One GPU that cannot hold a 15-year archive should not crash or throw science away. Associate selection is which reader and why, not a Professional cluster-scheduler design. NCCL and a laptop downsample are the wrong answers.