[zh-cn]sync kubeadm-upgrade scheduling-gpus
Signed-off-by: xin.li <xin.li@daocloud.io>pull/48196/head
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@ -1,14 +1,14 @@
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---
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title: 升级 kubeadm 集群
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content_type: task
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weight: 40
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weight: 30
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---
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<!--
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reviewers:
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- sig-cluster-lifecycle
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title: Upgrading kubeadm clusters
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content_type: task
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weight: 40
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weight: 30
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-->
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<!-- overview -->
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@ -41,6 +41,14 @@ please refer to following pages instead:
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- [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/)
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- [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/)
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<!--
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The Kubernetes project recommends upgrading to the latest patch releases promptly, and
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to ensure that you are running a supported minor release of Kubernetes.
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Following this recommendation helps you to to stay secure.
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-->
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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。
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遵循此建议可帮助你保持安全。
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<!--
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The upgrade workflow at high level is the following:
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-->
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@ -49,7 +49,7 @@ GPU vendor. Here are some links to vendors' instructions:
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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
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GPU 厂商的对应设备插件。以下是一些厂商说明的链接:
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* [AMD](https://github.com/RadeonOpenCompute/k8s-device-plugin#deployment)
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* [AMD](https://github.com/ROCm/k8s-device-plugin#deployment)
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* [Intel](https://intel.github.io/intel-device-plugins-for-kubernetes/cmd/gpu_plugin/README.html)
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* [NVIDIA](https://github.com/NVIDIA/k8s-device-plugin#quick-start)
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<!--
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