From 3ce91510edca925e36d0954b2b66e67d62bed18a Mon Sep 17 00:00:00 2001 From: Andreas Jaeger Date: Mon, 23 Jul 2018 19:08:19 +0200 Subject: [PATCH] Fix display of lists in scheduling-gpus.md (#9609) The lists are misparsed and displayed as normal paragraphs, add empty lines so that they are parsed as proper lists. --- content/en/docs/tasks/manage-gpus/scheduling-gpus.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/content/en/docs/tasks/manage-gpus/scheduling-gpus.md b/content/en/docs/tasks/manage-gpus/scheduling-gpus.md index 52afb97c28..fc2b82745e 100644 --- a/content/en/docs/tasks/manage-gpus/scheduling-gpus.md +++ b/content/en/docs/tasks/manage-gpus/scheduling-gpus.md @@ -38,6 +38,7 @@ You can consume these GPUs from your containers by requesting `nvidia.com/gpu` just like you request `cpu` or `memory`. However, there are some limitations in how you specify the resource requirements when using GPUs: + - GPUs are only supposed to be specified in the `limits` section, which means: * You can specify GPU `limits` without specifying `requests` because Kubernetes will use the limit as the request value by default. @@ -74,6 +75,7 @@ There are currently two device plugin implementations for NVIDIA GPUs: The [official NVIDIA GPU device plugin](https://github.com/NVIDIA/k8s-device-plugin) has the following requirements: + - Kubernetes nodes have to be pre-installed with NVIDIA drivers. - Kubernetes nodes have to be pre-installed with [nvidia-docker 2.0](https://github.com/NVIDIA/nvidia-docker) - nvidia-container-runtime must be configured as the [default runtime](https://github.com/NVIDIA/k8s-device-plugin#preparing-your-gpu-nodes)