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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
This commit is contained in:
dengyi1996 2017-08-18 08:00:10 +08:00 committed by Zach Corleissen
parent 4e7764a890
commit 58fa6bf42c
1 changed files with 1 additions and 1 deletions
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docs/tasks/manage-gpus/scheduling-gpus.md
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@ -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.