# CV-CUDA Early Access

[CV-CUDA](https://github.com/CVCUDA/CV-CUDA) is an open source library that enables developers to build highly efficient, GPU-accelerated pre- and post-processing pipelines in cloud-scale [Artificial Intelligence (AI) imaging and computer vision (CV)](https://developer.nvidia.com/computer-vision) workloads. With a specialized set of CV and image processing kernels that are hand-optimized for performance on data center GPUs, CV-CUDA assures that your processing pipelines built with these kernels are being executed to deliver a much higher throughput across the entire complex workload. CV-CUDA can offer greater than **4x** throughput improvement for the end-to-end pipeline thus significantly lowering cloud computing cost and energy consumption. CV-CUDA offers easy integration into C/C++, Python, and interfaces to common [Deep Learning (DL) frameworks](https://developer.nvidia.com/deep-learning-frameworks) like [PyTorch](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch).

**CV-CUDA Early Access Developer Application:**