From 8b2485c4411df2b3924224c36839cf9faf5a77be Mon Sep 17 00:00:00 2001 From: Anthony Date: Fri, 18 Aug 2017 18:23:10 +0800 Subject: [PATCH] Update scheduling-gpus.md modify "nvidia drivers" to "Nvidia drivers" --- 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 20b5d9aec4..8981bc5a31 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. After installing the driver, run `nvidia-docker-plugin` to confirm that all drivers have been loaded. +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.