CV-CUDA Early Access
CV-CUDA is an open source project that enables developers to build highly efficient, graphics processing unit (GPU)-accelerated pre- and post-processing pipelines in cloud-scale Artificial Intelligence (AI) imaging and computer vision (CV) 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 will offer easy integration into C/C++, Python, and Deep Learning (DL) frameworks like PyTorch.
Early access is limited to select enterprises that build accelerated pre- and post-processing pipelines for common AI imaging and CV workloads deployed at scale in the cloud. Common use cases for such tasks include video content enhancement or analysis, image understanding, recommender systems, and video conferencing.
To participate, please fill out the short application at the link below and provide details about your use case. You must be a member of the NVIDIA Developer Program and logged in with your organization's email address. We will not approve early access applications from personal email accounts.
After approval, we will require a Non-Disclosure Agreement before granting access. Early access applications will be granted for Alpha release in December 2022 with the Beta version to follow in Spring 2023.