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In this blog post, we will provide an overview of the benefits of the new packages. By providing better integration of the drivers and RHEL on a technical level, the new packages remove the need to have compilers and a full software development toolchain installed on each system running NVIDIA GPUs, and simplify the management experience. The goal behind this is to improve the user experience of installing and upgrading these drivers on RHEL. NVIDIA and Red Hat are announcing a technical preview of new packages for the GPU drivers on RHEL. The NVIDIA / Red Hat partnership continues to grow and there are many integration efforts across Red Hat’s and NVIDIA’s product portfolios on projects as diverse as video drivers, heterogeneous memory management (HMM), KVM support for virtual GPUs, and Kubernetes.īased on feedback from our users, NVIDIA and Red Hat have worked closely to improve the user experience when installing and updating NVIDIA software on RHEL, including GPU drivers and CUDA. To serve these diverse enterprise use-cases on RHEL, NVIDIA provides a software stack powered by the CUDA platform (drivers, CUDA-X acceleration libraries, CUDA optimized applications and frameworks). Red Hat and NVIDIA have been working together for over 10 years to accelerate Red Hat Enterprise Linux (RHEL) workloads on NVIDIA GPU enabled servers – across the datacenter, virtualized environments and the cloud. NVIDIA GPUs are transforming enterprises by accelerating enterprise computing from inference, data science to large scale AI training, to VDI. By Pramod Ramarao, Senior Product Manager, NVIDIA