From 9e52d13015b84c6ad5c2f7135e6900b9abe1acef Mon Sep 17 00:00:00 2001 From: tico88612 <17496418+tico88612@users.noreply.github.com> Date: Wed, 14 Sep 2022 10:29:39 +0800 Subject: [PATCH 1/2] Update scheduling-gpus.md Fixed the version of the NVIDIA drivers to 384.81 --- content/zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md b/content/zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md index 57a1228d72..8b3cba6014 100644 --- a/content/zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md +++ b/content/zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md @@ -171,7 +171,7 @@ requirements are satisfied: - Kubelet 的容器运行时必须使用 Docker - Docker 的[默认运行时](https://github.com/NVIDIA/k8s-device-plugin#preparing-your-gpu-nodes)必须设置为 `nvidia-container-runtime`,而不是 `runc`。 -- NVIDIA 驱动程序的版本必须匹配 ~= 361.93 +- NVIDIA 驱动程序的版本必须匹配 ~= 384.81 如果你的集群已经启动并且满足上述要求的话,可以这样部署 NVIDIA 设备插件: From 641f8d6cf15c3abb6b4a4a53ed2696e5379f1e90 Mon Sep 17 00:00:00 2001 From: tico88612 <17496418+tico88612@users.noreply.github.com> Date: Wed, 14 Sep 2022 11:04:08 +0800 Subject: [PATCH 2/2] Fixed typo scheduling-gpus.md Line 206 add code language shell Line 207 `COntainer` -> `Container` --- content/zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md b/content/zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md index 8b3cba6014..0a7cc796c5 100644 --- a/content/zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md +++ b/content/zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md @@ -203,8 +203,8 @@ You can use the following commands to install the NVIDIA drivers and device plug --> 你可以使用下面的命令来安装 NVIDIA 驱动以及设备插件: -``` -# 在 COntainer-Optimized OS 上安装 NVIDIA 驱动: +```shell +# 在 Container-Optimized OS 上安装 NVIDIA 驱动: kubectl create -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/stable/daemonset.yaml # 在 Ubuntu 上安装 NVIDIA 驱动 (实验性质):