From 18af44758d22727d16ee31907a1982666b5d817a Mon Sep 17 00:00:00 2001 From: "xin.li" Date: Fri, 4 Oct 2024 22:26:40 +0800 Subject: [PATCH] [zh-cn]sync kubeadm-upgrade scheduling-gpus Signed-off-by: xin.li --- .../administer-cluster/kubeadm/kubeadm-upgrade.md | 12 ++++++++++-- .../zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md | 2 +- 2 files changed, 11 insertions(+), 3 deletions(-) diff --git a/content/zh-cn/docs/tasks/administer-cluster/kubeadm/kubeadm-upgrade.md b/content/zh-cn/docs/tasks/administer-cluster/kubeadm/kubeadm-upgrade.md index e75ec21f27..1595945c06 100644 --- a/content/zh-cn/docs/tasks/administer-cluster/kubeadm/kubeadm-upgrade.md +++ b/content/zh-cn/docs/tasks/administer-cluster/kubeadm/kubeadm-upgrade.md @@ -1,14 +1,14 @@ --- title: 升级 kubeadm 集群 content_type: task -weight: 40 +weight: 30 --- @@ -41,6 +41,14 @@ please refer to following pages instead: - [将 kubeadm 集群从 {{< skew currentVersionAddMinor -4 >}} 升级到 {{< skew currentVersionAddMinor -3 >}}](https://v{{< skew currentVersionAddMinor -3 "-" >}}.docs.kubernetes.io/docs/tasks/administer-cluster/kubeadm/kubeadm-upgrade/) - [将 kubeadm 集群从 {{< skew currentVersionAddMinor -5 >}} 升级到 {{< skew currentVersionAddMinor -4 >}}](https://v{{< skew currentVersionAddMinor -4 "-" >}}.docs.kubernetes.io/docs/tasks/administer-cluster/kubeadm/kubeadm-upgrade/) + +Kubernetes 项目建议立即升级到最新的补丁版本,并确保你运行的是受支持的 Kubernetes 次要版本。 +遵循此建议可帮助你保持安全。 + 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 fa212fabf0..4a460099da 100644 --- a/content/zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md +++ b/content/zh-cn/docs/tasks/manage-gpus/scheduling-gpus.md @@ -49,7 +49,7 @@ GPU vendor. Here are some links to vendors' instructions: 作为集群管理员,你要在节点上安装来自对应硬件厂商的 GPU 驱动程序,并运行来自 GPU 厂商的对应设备插件。以下是一些厂商说明的链接: -* [AMD](https://github.com/RadeonOpenCompute/k8s-device-plugin#deployment) +* [AMD](https://github.com/ROCm/k8s-device-plugin#deployment) * [Intel](https://intel.github.io/intel-device-plugins-for-kubernetes/cmd/gpu_plugin/README.html) * [NVIDIA](https://github.com/NVIDIA/k8s-device-plugin#quick-start)