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This article examines how moving image pre‑ and post‑processing to GPU with NVIDIA's CV‑CUDA reduces software complexity, alleviates CPU bottlenecks, and delivers up to thirty‑fold throughput gains for computer‑vision workloads across training and inference pipelines.
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