From 2c864272f42aa5666b8b5dc1dd3a9c7c138a632d Mon Sep 17 00:00:00 2001 From: manuelbuil Date: Fri, 1 Nov 2024 16:49:57 +0100 Subject: [PATCH] Update SLES docs for NVIDIA operator Signed-off-by: manuelbuil --- docs/advanced.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/advanced.md b/docs/advanced.md index 50738fb7..1659946c 100644 --- a/docs/advanced.md +++ b/docs/advanced.md @@ -292,7 +292,7 @@ sudo zypper install -y nvidia-open If the GPU does not support gpu kernel drivers, you will need to download the proprietary drivers from an NVIDIA repo. In that case, follow these steps: ``` -sudo zypper addrepo --refresh 'https://developer.download.nvidia.com/compute/cuda/repos/sles15/x86_64/' NVIDIA +sudo zypper addrepo --refresh https://developer.download.nvidia.com/compute/cuda/repos/sles15/x86_64/ cuda-sles15 sudo zypper --gpg-auto-import-keys refresh sudo zypper install -y –-auto-agree-with-licenses nvidia-gl-G06 nvidia-video-G06 nvidia-compute-utils-G06 ``` @@ -379,7 +379,7 @@ ls /usr/local/nvidia/toolkit/nvidia-container-runtime 4 - Verify if containerd config was updated to include the nvidia container runtime: ``` -grep nvidia /etc/containerd/config.toml +grep nvidia /var/lib/rancher/rke2/agent/etc/containerd/config.toml ``` 5 - Run a pod to verify that the GPU resource can successfully be scheduled on a pod and the pod can detect it