[zh-cn]sync kubeadm-upgrade scheduling-gpus

Signed-off-by: xin.li <xin.li@daocloud.io>
pull/48196/head
xin.li 2024-10-04 22:26:40 +08:00
parent ffe1d674f0
commit 18af44758d
2 changed files with 11 additions and 3 deletions

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@ -1,14 +1,14 @@
---
title: 升级 kubeadm 集群
content_type: task
weight: 40
weight: 30
---
<!--
reviewers:
- sig-cluster-lifecycle
title: Upgrading kubeadm clusters
content_type: task
weight: 40
weight: 30
-->
<!-- overview -->
@ -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/)
<!--
The Kubernetes project recommends upgrading to the latest patch releases promptly, and
to ensure that you are running a supported minor release of Kubernetes.
Following this recommendation helps you to to stay secure.
-->
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。
<!--
The upgrade workflow at high level is the following:
-->

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@ -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)
<!--