# See https://kubernetes.io/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/ priorityClassName: "system-node-critical" containers: - image: ycloudhub.com/middleware/nvidia-gpu-device-plugin:v0.12.3 name: nvidia-device-plugin-ctr env: - name: FAIL_ON_INIT_ERROR value: "...
步骤四:在 Kubernetes 中启用 GPU 支持 在集群中的所有 GPU 节点上配置上述选项后,您可以通过部署以下 Daemonset 来启用 GPU 支持: cat nvidia-device-plugin.yml [root@ycloud ~]# cat nvidia-device-plugin.yaml apiVersion: apps/v1 kind: DaemonSet metadata: name: nvidia-device-plugin-daemonset namespace...
满足这些先决条件后,您可以继续在集群中部署具有可扩展性的NVIDIA k8s-device-plugin版本和(可选)gpu-feature-discovery组件,以便Kubernetes可以在可用的可扩展性设备上调度pod 所需软件组件的最低版本列举如下: NVIDIA R450+ datacenter driver: 450.80.02+ NVIDIA Container Toolkit (nvidia-docker2): v2.5.0+ NVID...
# 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...
高性能低延迟RDMA卡插件:RDMA device plugin for Kubernetes 低延迟Solarflare万兆网卡驱动:Solarflare Device Plugin Device plugins启动时,对外暴露几个gRPC Service提供服务,并通过/var/lib/kubelet/device-plugins/kubelet.sock向kubelet进行注册。 Device Plugins Registration ...
Nvidia提供的GPU插件:NVIDIA device plugin for Kubernetes 高性能低延迟RDMA卡插件:RDMA device plugin for Kubernetes 低延迟Solarflare万兆网卡驱动:Solarflare Device Plugin Device plugins启动时,对外暴露几个gRPC Service提供服务,并通过/var/lib/kubelet/device-plugins/kubelet.sock向kubelet进行注册。
简介:背景我们知道,如果在Kubernetes中支持GPU设备调度,需要做如下的工作:节点上安装nvidia驱动节点上安装nvidia-docker集群部署gpu device plugin,用于为调度到该节点的pod分配GPU设备。除此之外,如果你需要监控集群GPU资源使用情况,你可能还需要安装DCCM exporter结合Prometheus输出GPU资源监控信息。要安装和管理这么多的组件...
The NVIDIA device plugin for Kubernetes is a Daemonset that allows you to automatically:Expose the number of GPUs on each nodes of your cluster Keep track of the health of your GPUs Run GPU enabled containers in your Kubernetes cluster.
Name: infracloud01Roles: control-planeLabels: beta.kubernetes.io/arch=amd64beta.kubernetes.io/os=linux...nvidia.com/gpu.deploy.container-toolkit=truenvidia.com/gpu.deploy.dcgm=truenvidia.com/gpu.deploy.dcgm-exporter=truenvidia.com/gpu.deploy.device-plugin=truenvidia.com/gpu.deploy.driver=true...
整个Kubernetes调度GPU的过程如下: GPU Device plugin 部署到GPU节点上,通过ListAndWatch接口,上报注册节点的GPU信息和对应的DeviceID。 当有声明nvidia.com/gpu的GPU Pod创建出现,调度器会综合考虑GPU设备的空闲情况,将Pod调度到有充足GPU设备的节点上。