NCA-ADS - Foundations of Accelerated Data Science - Section 5.4

Build end-to-end accelerated workflows.

Build end-to-end accelerated workflows that keep data resident on the GPU across ingestion, feature engineering, training, and evaluation stages to avoid costly CPU-GPU memory transfers. Recognise which RAPIDS components cover each stage and how they chain together without materialising intermediate CPU copies.

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