![]() ![]() Serial portions of applications are run on the CPU, and parallel portions are offloaded to the GPU. Support heterogeneous computation where applications use both the CPU and GPU. With CUDA C/C++, programmers can focus on the task of parallelization of the algorithms rather than spending time on their implementation. Provide a small set of extensions to standard programming languages, like C, that enable a straightforward implementation of parallel algorithms. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).ĬUDA was developed with several design goals in mind: Introduction ĬUDA ® is a parallel computing platform and programming model invented by NVIDIA ®. The steps in this article were lifted from the RPM Fusion instructions here.The installation instructions for the CUDA Toolkit on Linux. Your mileage with these steps may vary depending on your hardware but for the majority of use cases, this should get you set up with the latest Nvidia drivers + CUDA support. Next, install the Nvidia driver: rpm-ostree install akmod-nvidia xorg-x11-drv-nvidia rpm-ostree install akmod-nvidia xorg-x11-drv-nvidia-cudaĪnd lastly, blacklist the nouveau driver (this part might be optional): rpm-ostree kargs -append=rd.driver.blacklist=nouveau -append=modprobe.blacklist=nouveau -append=nvidia-drm.modeset=1 That’s it?Īs of June 8th, 2020, this is all that is required to get Nvidia drivers working on Fedora Silverblue. ![]() Since this modifies the file system layer, you need to reboot to “activate” these changes. Starting with Fedora Silverblue 30, the method of installing Nvidia drivers is functionally the same as on Fedora Workstation with a couple of minor changes due to Silverblue’s file system.įirst, enable the RPM Fusion repos for Silverblue: rpm-ostree install $(rpm -E %fedora).noarch.rpm $(rpm -E %fedora).noarch.rpm ![]()
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