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A data science team preparing large datasets stored as Parquet files wants to reduce I/O bottlenecks when reading data into their GPU pipeline. Which capability, integrated with RAPIDS, is reported to deliver up to a 4.5X performance improvement with Parquet files on large-scale workflows?
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