CV-CUDA provides high-throughput, low-latency GPU-accelerated computer vision primitives for AI pipelines across NVIDIA cloud, desktop, and edge platforms. The library offers CUDA-optimized image processing operations (filtering, transforms, thresholding, morphology) and works with C/C++ and Python AI frameworks. It serves as a performance-focused alternative to OpenCV for preprocessing and postprocessing in deep learning workloads.