CV-CUDA Early Access
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) 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 like PyTorch.
Common use cases with AI imaging and CV workloads deployed at scale in the cloud include:
Enterprise Developer Engagement:
We are providing limited, direct support to select enterprises using CV-CUDA. Please fill out the short application using the link below and provide details about how you are using CV-CUDA for consideration. You must be a member of the NVIDIA Developer Program and logged in with your organization's email address. We will not engage applications from personal email accounts.
Open Beta will be released Spring of 2023.