From 58fa6bf42c591d3b950b79f0d9c405bfd8b8d826 Mon Sep 17 00:00:00 2001 From: dengyi1996 Date: Fri, 18 Aug 2017 08:00:10 +0800 Subject: [PATCH] Update scheduling-gpus.md (#4850) * Update scheduling-gpus.md It sounds like that kubelet will not automatically load the nvidia uvm driver,I have recurrent it when my cluster reboot nvml driver and nvidia-uvm driver not loaded. To fix it simply,make the docker-plugin autostart. I think it's important to tell other developers to prevent this situation * Update scheduling-gpus.md --- docs/tasks/manage-gpus/scheduling-gpus.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tasks/manage-gpus/scheduling-gpus.md b/docs/tasks/manage-gpus/scheduling-gpus.md index 7ee29102ed..20b5d9aec4 100644 --- a/docs/tasks/manage-gpus/scheduling-gpus.md +++ b/docs/tasks/manage-gpus/scheduling-gpus.md @@ -13,7 +13,7 @@ This page describes how users can consume GPUs and the current limitations. {% capture prerequisites %} -1. Kubernetes nodes have to be pre-installed with Nvidia drivers. Kubelet will not detect Nvidia GPUs otherwise. Try to re-install nvidia drivers if kubelet fails to expose Nvidia GPUs as part of Node Capacity. +1. Kubernetes nodes have to be pre-installed with Nvidia drivers. Kubelet will not detect Nvidia GPUs otherwise. Try to re-install nvidia drivers if kubelet fails to expose Nvidia GPUs as part of Node Capacity. After installing the driver, run `nvidia-docker-plugin` to confirm that all drivers have been loaded. 2. A special **alpha** feature gate `Accelerators` has to be set to true across the system: `--feature-gates="Accelerators=true"`. 3. Nodes must be using `docker engine` as the container runtime.