Links

nvidia-device-plugin介绍

1. 简介

NVIDIA device plugin 通过k8s daemonset的方式部署到每个k8s的node节点上,实现了Kubernetes device plugin的接口。
提供以下功能:
  • 暴露每个节点的GPU数量给集群
  • 跟踪GPU的健康情况
  • 使在k8s的节点可以运行GPU容器

2. 要求

3. 使用

3.1. 安装NVIDIA drivers和nvidia-docker

提供GPU节点的机器,准备工作如下
  1. 1.
    安装NVIDIA drivers ~= 384.81
  2. 2.
    安装nvidia-docker version > 2.0

3.2. 配置docker runtime

配置nvidia runtime作为GPU节点的默认runtime。
修改文件/etc/docker/daemon.json,增加以下runtime内容。
{
"default-runtime": "nvidia",
"runtimes": {
"nvidia": {
"path": "/usr/bin/nvidia-container-runtime",
"runtimeArgs": []
}
}
}

3.3. 部署nvidia-device-plugin

$ kubectl create -f https://raw.githubusercontent.com/NVIDIA/k8s-device-plugin/1.0.0-beta4/nvidia-device-plugin.yml
nvidia-device-plugin的daemonset yaml文件如下:
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: nvidia-device-plugin-daemonset
namespace: kube-system
spec:
selector:
matchLabels:
name: nvidia-device-plugin-ds
updateStrategy:
type: RollingUpdate
template:
metadata:
# This annotation is deprecated. Kept here for backward compatibility
# See https://kubernetes.io/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/
annotations:
scheduler.alpha.kubernetes.io/critical-pod: ""
labels:
name: nvidia-device-plugin-ds
spec:
tolerations:
# This toleration is deprecated. Kept here for backward compatibility
# See https://kubernetes.io/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/
- key: CriticalAddonsOnly
operator: Exists
- key: nvidia.com/gpu
operator: Exists
effect: NoSchedule
# Mark this pod as a critical add-on; when enabled, the critical add-on
# scheduler reserves resources for critical add-on pods so that they can
# be rescheduled after a failure.
# See https://kubernetes.io/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/
priorityClassName: "system-node-critical"
containers:
- image: nvidia/k8s-device-plugin:1.0.0-beta4
name: nvidia-device-plugin-ctr
securityContext:
allowPrivilegeEscalation: false
capabilities:
drop: ["ALL"]
volumeMounts:
- name: device-plugin
mountPath: /var/lib/kubelet/device-plugins
volumes:
- name: device-plugin
hostPath:
path: /var/lib/kubelet/device-plugins

3.4. 运行GPU任务

创建一个GPU的pod,pod的资源类型指定为nvidia.com/gpu
apiVersion: v1
kind: Pod
metadata:
name: gpu-pod
spec:
containers:
- name: cuda-container
image: nvidia/cuda:9.0-devel
resources:
limits:
nvidia.com/gpu: 2 # requesting 2 GPUs
- name: digits-container
image: nvidia/digits:6.0
resources:
limits:
nvidia.com/gpu: 2 # requesting 2 GPUs

4. 构建和运行nvidia-device-plugin

4.1. docker方式

4.1.1. 编译

  • 直接拉取dockerhub的镜像
$ docker pull nvidia/k8s-device-plugin:1.0.0-beta4
  • 拉取代码构建镜像
$ docker build -t nvidia/k8s-device-plugin:1.0.0-beta4 https://github.com/NVIDIA/k8s-device-plugin.git#1.0.0-beta4
  • 修改nvidia-device-plugin后构建镜像
$ git clone https://github.com/NVIDIA/k8s-device-plugin.git && cd k8s-device-plugin
$ git checkout 1.0.0-beta4
$ docker build -t nvidia/k8s-device-plugin:1.0.0-beta4 .

4.1.2. 运行

  • docker本地运行
$ docker run --security-opt=no-new-privileges --cap-drop=ALL --network=none -it -v /var/lib/kubelet/device-plugins:/var/lib/kubelet/device-plugins nvidia/k8s-device-plugin:1.0.0-beta4
  • daemonset运行
$ kubectl create -f nvidia-device-plugin.yml

4.2. 非docker方式

4.2.1. 编译

$ C_INCLUDE_PATH=/usr/local/cuda/include LIBRARY_PATH=/usr/local/cuda/lib64 go build

4.2.2. 本地运行

$ ./k8s-device-plugin
参考: