Note:  In the next sections, drivers and libraries are added to the stateless image. As a best  practice, match the management and stateless image kernel level. If a new kernel level is  installed in the management node, complete the procedure at Installing a new kernel in the  Diskless image to update the stateless image kernel level to the same one before installing  any driver. The CUDA Toolkit can be installed with the RPM packages that are contained in the local  repository package that is available for download in the NVIDIA website. The packages are  marked for installation with the  otherpkgdir  and  otherpkglist  mechanisms to be installed  during the Linux distribution installation. Note:  For a stateless installation, installing the CUDA packages  must  be done in the  otherpkglist  and  not  the  pkglist  as with a stateful installation. For more information, see the xCAT Red Hat Enterprise Linux 7.5 LE documentation page. To install the CUDA Toolkit, complete the following steps: Note:  The CUDA Toolkit is available for download at the NVIDIA CUDA downloads  website.  At the website, click  (Operating Systems) Linux (Architecture) ppc64le (Distribution) RHEL (Version) 7 (Installer Type) rpm (local) Download . Note:  All other software packages are in the central  /install/software  directory. 104  IBM High-Performance Computing Insights with IBM Power System AC922 Clustered Solution  $ dir_cuda=/install/software/cuda/9.2 $ mkdir -p $dir_cuda $ ls -1d $dir_cuda/* $ dir=/tmp/cuda $ mkdir -p $dir $ cd $dir $ curl -sOL https://.../cuda-repo-rhel7-9-2-local-9.2.148-1.ppc64le.rpm $ rpm2cpio cuda-repo-rhel7-9-2-local-9.2.148-1.ppc64le.rpm | cpio -id 2430295 blocks Object name: rh75-compute-stateless rootimgdir=/install/netboot/rhels7.5-alternate/ppc64le/compute $ chdef -t osimage rh75-compute-stateless  rootimgdir=/install/netboot/rhels7.5-alternate/ppc64le/rh75-compute-stateless  1 object definitions have been created or modified. 5.6.3 NVIDIA CUDA Toolkit 1. Install the  createrepo  package for creating package repositories: $ yum install createrepo 2. Download and extract the CUDA Toolkit RPM package. 3. Copy the extracted package repository to a new  /install/software  directory.