![]() Priority: extra Section: multiverse/libdevel Source: UPDATE: output of sudo apt-cache show nvidia-cuda-dev: Package: nvidia-cuda-dev Architecture: amd64 Version: 10.1.243-3 I tried installing it from NVIDIA's official website, but nothing works. Recommends: libnvcuvid1 but it is not installable E: Unable to correct problems, you have held broken packages. Recommends: libvdpau-dev but it is not going to be installed The following packages have unmet dependencies: nvidia-cuda-dev :ĭepends: libcublas10 (= 10.1.243-3) but 10.2.2.214-1 is to be Running `sudo apt install nvidia-cuda-dev` yields: Installed E: Unable to correct problems, you have held broken The NVIDIA Compute Module is one way we are working to make using these technologies easier to use.I've been trying to install nvidia-cuda-toolkit with sudo apt install nvidia-cuda-toolkit and it displays the following error: The following packages have unmet dependencies: nvidia-cuda-toolkit :ĭepends: nvidia-cuda-dev (= 10.1.243-3) but it is not going to be Managing heterogeneous computing environments has become increasingly important for HPC and AI/ML administrators. ![]() You are now ready to start using the CUDA toolkit to harness the power of NVIDIA GPUs. A large number of packages will be installed.Select the cuda meta package and press Accept Start Yast and select Software Management” then search for cuda After adding the repository, you can install the CUDA drivers.You will be given one more confirmation screen.You must trust the GnuPG key for the CUDA repository.Information on the EULA for the CUDA drivers is displayed.Please comply with the NVIDIA EULA terms. Notice that a URL for the EULA is included in the Details section. After YaST checks the registration for the system, a list of modules that are installed or available is displayed.Ĭlick on the box to select the NVIDIA Compute Module 15 X86-64.Start Yast and select System Extensions.Note that the NVIDIA Compute Module 15 is currently only available for the SLE HPC 15 product. This module is available for use with all SLE HPC 15 Service Packs. You can select it at installation time or activate it post installation. To simplify installation of NVIDIA CUDA Toolkit on SUSE Linux Enterprise for High Performance Computing (SLE HPC) 15, we have included a new SUSE Module, NVIDIA Compute Module 15. This Module adds the NVIDIA CUDA network repository to your SLE HPC system. The NVIDIA CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.ĬUDA supports the SUSE Linux operating system distributions (both SUSE Enterprise and OpenSUSE) and NVIDIA provides a repository with the necessary packages to easily install the CUDA Toolkit and NVIDIA drivers on SUSE. To get the full advantage of NVIDIA GPUs, you need to use NVIDIA CUDA, which is a general purpose parallel computing platform and programming model for NVIDIA GPUs. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime. ![]() To get the full advantage of NVIDIA GPUs, you need to use the CUDA parallel computing platform and programming toolkit. Heterogeneous Computing, the use of both CPUs and accelerators like graphics processing units (GPUs), has become increasingly more common and GPUs from NVIDIA are the most popular accelerators used today for AI/ML workloads. The High-Performance Computing industry is rapidly embracing the use of AI and ML technology in addition to legacy parallel computing.
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