Some NVIDIA drivers are qualified for use on NVIDIA data center GPUs and may have extended lifetimes compared to other driver branches. You can choose from one of the multiple NVIDIA GPU driver branches available to follow from a single RPM repository. This new mechanism allows you to switch to different streams based on your use case. You have the option to keep up with the latest and greatest or lock down to a specific driver branch, for example, drivers with major versions equal to “450”. Only updates on the selected stream are considered. Using Modularity, the CUDA repository provides multiple update streams for driver packages. For this work, use the modularity streams available in RHEL 8 and precompiled kernel modules ( kmod) packages. This work provides several benefits–including improved reliability, security, and choice. In this post, I cover the work done on packaging for the NVIDIA driver on Red Hat Enterprise Linux (RHEL) 8 to improve the experience of installing and upgrading drivers. Enterprise users also desire a tested combination of NVIDIA drivers and Linux kernel combinations for stability and the ability to stay on specific driver branches, which may have different lifetimes. In the past, installation or upgrades of the NVIDIA drivers have required a full software development environment, such as compiler toolchains and kernel headers, on each GPU node. Deploying the NVIDIA driver is one of the fundamental aspects of setting up a GPU accelerated cluster for using CUDA.
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