{"id":9977,"date":"2025-03-09T02:59:32","date_gmt":"2025-03-09T01:59:32","guid":{"rendered":"https:\/\/myoceane.fr\/?p=9977"},"modified":"2025-12-18T16:12:25","modified_gmt":"2025-12-18T15:12:25","slug":"%e5%9c%a8-k8s-%e4%b8%8a%e7%b0%a1%e5%96%ae%e5%af%a6%e7%8f%be-nvidia-gpu-time-slicing","status":"publish","type":"post","link":"https:\/\/myoceane.fr\/index.php\/%e5%9c%a8-k8s-%e4%b8%8a%e7%b0%a1%e5%96%ae%e5%af%a6%e7%8f%be-nvidia-gpu-time-slicing\/","title":{"rendered":"\u5728 K8S \u4e0a\u7c21\u55ae\u5be6\u73fe Nvidia GPU Time-Slicing"},"content":{"rendered":"<div id=\"fb-root\"><\/div>\n\n<p style=\"text-align: justify;\">Nvidia \u7684 GPU \u76ee\u524d\u662f\u5e02\u5834\u4e0a\u4f7f\u7528\u7684\u4e3b\u6d41\uff0c\u5728\u96f2\u7684\u4e16\u754c\u88e1\u9762\uff0c\u7531\u65bc\u5927\u90e8\u5206\u7684\u4f7f\u7528\u5834\u666f\u662f\u6309\u9700 (On Demand)\uff0c\u56e0\u6b64 K8S \u6162\u6162\u5730\u4e5f\u662f\u96f2\u7aef\u7ba1\u7406\u8cc7\u6e90\u7684\u4e00\u500b\u5229\u5668\uff0c\u5982\u4f55\u5728 Kubernetes \u4e0a\u8abf\u7528 GPU \u7684\u8cc7\u6e90\u76f8\u5c0d\u5730\u4e5f\u8d8a\u4f86\u8d8a\u666e\u904d\uff0c\u672c\u7bc7\u6574\u7406\u4e86\u76ee\u524d\u7db2\u8def\u4e0a\u53ef\u4ee5\u770b\u5230 Nvidia GPU \u65bc\u64cd\u4f5c\u65b9\u6cd5\uff0c\u4e26\u4e14\u4ecb\u7d39\u4e00\u7a2e\u7c21\u55ae\u5be6\u73fe GPU Time-Slicing \u7684\u8a2d\u5b9a\u3002<\/p>\n\n\n\n<h5>\u5728 Kubernetes \u4e0a\u4f7f\u7528 GPU \u7684\u65b9\u6cd5<\/h5>\n<p>\u7531\u65bc\u6ab8\u6aac\u7238\u4f7f\u7528\u7684\u96f2\u7aef\u74b0\u5883\u4e3b\u8981\u662f Azure\uff0c\u6240\u4ee5\u5f9e <a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/aks\/gpu-cluster?tabs=add-ubuntu-gpu-node-pool\">Use GPUs for compute-intensive workloads on Azure Kubernetes Service (AKS)<\/a> \u7684\u6587\u4ef6\u51fa\u767c\uff0c\u53ef\u4ee5\u7e3d\u7d50\u5728 K8S \u4e0a\u9762\u4f7f\u7528 GPU \u6709\u4ee5\u4e0b\u5169\u7a2e\u505a\u6cd5\uff1a<\/p>\n<ol>\n<li>\u8907\u96dc\u4e14\u6d88\u8017\u8cc7\u6e90\u7684\u505a\u6cd5\uff1a<a href=\"https:\/\/docs.nvidia.com\/datacenter\/cloud-native\/gpu-operator\/latest\/uninstall.html\">Nvidia GPU Operator<\/a><\/li>\n<li>\u7c21\u55ae\u4f46\u6bd4\u8f03\u53d7\u9650\u7684\u505a\u6cd5\uff1a\u76f4\u63a5\u90e8\u7f72 <a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/containers\/k8s-device-plugin\">Nvidia Device Plugin<\/a><\/li>\n<\/ol>\n\n\n\n<h5>Nvidia GPU Operator<\/h5>\n<p style=\"text-align: justify;\">Nvidia GPU Operator \u662f\u4e00\u500b\u6bd4\u8f03\u5168\u9762\u90e8\u7f72 GPU \u76f8\u95dc\u8edf\u4ef6\u5728 K8S \u4e0a\u9762\u7684\u7ba1\u7406\u5957\u4ef6\uff0c\u9664\u4e86 Nvidia Device Plugin \u4e4b\u5916\uff0cGPU Operator \u9084\u53ef\u4ee5\u4f9d\u7167\u9700\u6c42\u6309\u7167\u4ee5\u4e0b\u9806\u5e8f\u5e6b\u5fd9\u53e2\u96c6\u5b89\u88dd\u4ee5\u4e0b\u7a0b\u5f0f\uff1a<\/p>\n<ul>\n<li>Nvidia Driver Installer<\/li>\n<li>Nvidia Container Toolkit Installer<\/li>\n<li>Nvidia Device Plugin<\/li>\n<li>DCGM Exporter<\/li>\n<\/ul>\n<p>\u6839\u64da<a href=\"https:\/\/www.lixueduan.com\/posts\/ai\/02-gpu-operator\/\">\u7db2\u7ad9<\/a>\u7684\u4ecb\u7d39\uff0c\u5b89\u88dd\u5b8c\u6210\u4ee5\u5f8c\uff0c\u61c9\u8a72\u8981\u53ef\u4ee5\u770b\u5230\u4ee5\u4e0b\u7684 Pods \u5217\u8868\u3002<\/p>\n<pre class=\"lang:bash\">root@test:~# kubectl -n gpu-operator get pods\nNAME                                                           READY   STATUS      RESTARTS      AGE\ngpu-feature-discovery-jdqpb                                    1\/1     Running     0             35d\ngpu-operator-67f8b59c9b-k989m                                  1\/1     Running     6 (35d ago)   35d\nnfd-node-feature-discovery-gc-5644575d55-957rp                 1\/1     Running     6 (35d ago)   35d\nnfd-node-feature-discovery-master-5bd568cf5c-c6t9s             1\/1     Running     6 (35d ago)   35d\nnfd-node-feature-discovery-worker-sqb7x                        1\/1     Running     6 (35d ago)   35d\nnvidia-container-toolkit-daemonset-rqgtv                       1\/1     Running     0             35d\nnvidia-cuda-validator-9kqnf                                    0\/1     Completed   0             35d\nnvidia-dcgm-exporter-8mb6v                                     1\/1     Running     0             35d\nnvidia-device-plugin-daemonset-7nkjw                           1\/1     Running     0             35d\nnvidia-driver-daemonset-5.15.0-105-generic-ubuntu22.04-g5dgx   1\/1     Running     5 (35d ago)   35d\nnvidia-operator-validator-6mqlm                                1\/1     Running     0             35d<\/pre>\n<p>&nbsp;<\/p>\n\n\n\n<h5>\u53ea\u5b89\u88dd Nvidia Device Plugin<\/h5>\n<p style=\"text-align: justify;\">\u5728 AKS \u4e0a\uff0c\u53ef\u4ee5\u9078\u64c7\u53ea\u5b89\u88dd Nvidia Device Plugin\uff0c\u4ee5\u4e0b\u5b98\u65b9\u63d0\u4f9b\u7684 <a href=\"https:\/\/github.com\/NVIDIA\/k8s-device-plugin\/blob\/4b3d6b0a6613a3672f71ea4719fd8633eaafb4f3\/deployments\/static\/nvidia-device-plugin.yml\">nvidia-device-plugin.yaml<\/a>\uff0c\u900f\u904e kubectl apply -f nvidia-device-plugin.yaml \u6307\u4ee4\u5b89\u88dd\u5c31\u53ef\u4ee5\u90e8\u7f72 Device Plugin \u7684 DaemonSet\uff0c\u5728<\/p>\n<pre class=\"lang:yaml\">apiVersion: apps\/v1\nkind: DaemonSet\nmetadata:\n  name: nvidia-device-plugin-daemonset\n  namespace: kube-system\nspec:\n  selector:\n    matchLabels:\n      name: nvidia-device-plugin-ds\n  updateStrategy:\n    type: RollingUpdate\n  template:\n    metadata:\n      labels:\n        name: nvidia-device-plugin-ds\n    spec:\n      tolerations:\n      - key: \"sku\"\n        operator: \"Equal\"\n        value: \"gpu\"\n        effect: \"NoSchedule\"\n      # Mark this pod as a critical add-on; when enabled, the critical add-on\n      # scheduler reserves resources for critical add-on pods so that they can\n      # be rescheduled after a failure.\n      # See https:\/\/kubernetes.io\/docs\/tasks\/administer-cluster\/guaranteed-scheduling-critical-addon-pods\/\n      priorityClassName: \"system-node-critical\"\n      containers:\n      - image: nvcr.io\/nvidia\/k8s-device-plugin:v0.15.0\n        name: nvidia-device-plugin-ctr\n        env:\n          - name: FAIL_ON_INIT_ERROR\n            value: \"false\"\n        securityContext:\n          allowPrivilegeEscalation: false\n          capabilities:\n            drop: [\"ALL\"]\n        volumeMounts:\n        - name: device-plugin\n          mountPath: \/var\/lib\/kubelet\/device-plugins\n      volumes:\n      - name: device-plugin\n        hostPath:\n          path: \/var\/lib\/kubelet\/device-plugins<\/pre>\n<p>\u53e6\u5916\u5982\u679c\u60f3\u8981\u8a2d\u5b9a Time-Slicing \u5247\u53ef\u4ee5\u5229\u7528\u4ee5\u4e0b\u7684 time-slicing.yaml \u6a94\u5148\u5275\u5efa\u4e00\u500b ConfigMap\uff0c\u5728<a href=\"https:\/\/gist.github.com\/alexeldeib\/ff2eea629cc4cf58e9581f5ed7b01ddc\">\u53c3\u8003\u9023\u7d50<\/a>\u4e4b\u5f8c\uff0c\u7a0d\u5fae\u4fee\u6539\u4ee5\u4e0a\u7684 nvidia-device-plugin.yaml \u5f97\u5230\u65b0\u7684 Daemonsets \u90e8\u7f72\u8a2d\u5b9a\u3002<\/p>\n<pre class=\"lang:yaml\">apiVersion: apps\/v1\nkind: DaemonSet\nmetadata:\n  name: nvidia-device-plugin-daemonset\n  namespace: kube-system\nspec:\n  selector:\n    matchLabels:\n      name: nvidia-device-plugin-ds\n  updateStrategy:\n    type: RollingUpdate\n  template:\n    metadata:\n      labels:\n        name: nvidia-device-plugin-ds\n    spec:\n      tolerations:\n      - key: nvidia.com\/gpu\n        operator: Exists\n        effect: NoSchedule\n      # Mark this pod as a critical add-on; when enabled, the critical add-on\n      # scheduler reserves resources for critical add-on pods so that they can\n      # be rescheduled after a failure.\n      # See https:\/\/kubernetes.io\/docs\/tasks\/administer-cluster\/guaranteed-scheduling-critical-addon-pods\/\n      priorityClassName: \"system-node-critical\"\n      containers:\n      - image: nvcr.io\/nvidia\/k8s-device-plugin:v0.14.0\n        name: nvidia-device-plugin-ctr\n        env:\n          - name: CONFIG_FILE\n            value: \"\/opt\/config\/config.yaml\"\n        securityContext:\n          privileged: true\n        volumeMounts:\n        - name: device-plugin\n          mountPath: \/var\/lib\/kubelet\/device-plugins\n        - name: config\n          mountPath: \"\/opt\/config\"\n      volumes:\n      - name: device-plugin\n        hostPath:\n          path: \/var\/lib\/kubelet\/device-plugins\n      - name: config\n        configMap:\n          name: nvidia-config\n---\napiVersion: v1\nkind: ConfigMap\nmetadata:\n  name: nvidia-config\n  namespace: kube-system\n  labels:\n    app: nvidia\ndata:\n  config.yaml: |-\n    version: v1\n    flags:\n      migStrategy: \"none\"\n      failOnInitError: false\n      nvidiaDriverRoot: \"\/\"\n      plugin:\n        passDeviceSpecs: true\n    sharing:\n      timeSlicing:\n        resources:\n        - name: nvidia.com\/gpu\n          replicas: 10<\/pre>\n<p style=\"text-align: justify;\"><strong>\u5099\u8a3b\uff1a<\/strong>\u53ef\u4ee5\u53ea\u90e8\u7f72\u4e00\u500b Nvidia Device Plugin \u7684\u539f\u56e0\u4e3b\u8981\u662f\u56e0\u70ba GPU Driver \u5df2\u7d93\u88ab\u9810\u5148\u5b89\u88dd\u597d\u4e86\uff0c\u5728 AKS \u7684 agent pool \u88e1\u9762\u6709\u4e00\u500b\u53c3\u6578 &#8211;gpu-driver \u9810\u8a2d\u662f Install\uff0c\u5982\u679c\u60f3\u8981\u81ea\u5df1\u900f\u904e GPU Operator \u4f86\u90e8\u7f72 GPU \u76f8\u95dc\u7684\u74b0\u5883\u7684\u8a71\uff0c\u9019\u4e00\u500b\u53c3\u6578\u5728\u90e8\u7f72 Agent pool \u7684\u6642\u5019\u9700\u8981\u9810\u5148\u95dc\u9589\uff01<\/p>\n<h3>CUDA driver version is insufficient for CUDA runtime version<\/h3>\n<p>\u6587\u4ef6\u4e2d\u6709\u53e6\u5916\u8aaa\u660e\u4e00\u4ef6\u4e8b\u60c5\uff0c\u5982\u679c\u9047\u5230 CUDA runtime \u4e0d\u652f\u63f4\u7684\u554f\u984c\u53ef\u4ee5<a href=\"https:\/\/docs.nvidia.com\/deploy\/cuda-compatibility\/index.html\">\u53c3\u8003<\/a>\u3002<\/p>\n<pre class=\"lang:bash\">Error: failed to create containerd task: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running prestart hook #0: exit status 1, stdout: , stderr: Auto-detected mode as 'legacy'\nnvidia-container-cli: requirement error: unsatisfied condition: cuda&gt;=129.0, please update your driver to a newer version, or use an earlier cuda container: unknown\n  Warning  BackOff  10s (x2 over 11s)  kubelet  Back-off restarting failed container interactive-server in pod run-bo79klsfugnrjny-0(67da1e70-e8f7-4c7e-b2ae-300955d8782a)<\/pre>\n<p>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nvidia \u7684 GPU \u76ee\u524d\u662f\u5e02\u5834\u4e0a\u4f7f\u7528\u7684\u4e3b\u6d41\uff0c\u5728\u96f2\u7684\u4e16\u754c\u88e1\u9762\uff0c\u7531\u65bc\u5927\u90e8\u5206\u7684\u4f7f\u7528\u5834\u666f\u662f\u6309\u9700 (On Demand)\uff0c\u56e0\u6b64 K8S \u6162\u6162\u5730\u4e5f\u662f\u96f2\u7aef\u7ba1\u7406\u8cc7\u6e90\u7684\u4e00\u500b\u5229\u5668\uff0c\u5982\u4f55\u5728 Kubernetes \u4e0a\u8abf\u7528 GPU \u7684\u8cc7\u6e90\u76f8\u5c0d\u5730\u4e5f\u8d8a\u4f86\u8d8a\u666e\u904d\uff0c\u672c\u7bc7\u6574\u7406\u4e86\u76ee\u524d\u7db2\u8def\u4e0a\u53ef\u4ee5\u770b\u5230 Nvidia GPU \u65bc\u64cd\u4f5c\u65b9\u6cd5\uff0c\u4e26\u4e14\u4ecb\u7d39\u4e00\u7a2e\u7c21\u55ae\u5be6\u73fe GPU Time-Slicing \u7684\u8a2d\u5b9a\u3002<\/p>\n","protected":false},"author":1,"featured_media":9982,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9,1761,14],"tags":[1764,1763,1849],"class_list":["post-9977","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bigdata-ml","category-gpu","category-it-technology","tag-gpu","tag-nvidia","tag-time-slicing"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.6 - 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\u76ee\u524d\u662f\u5e02\u5834\u4e0a\u4f7f\u7528\u7684\u4e3b\u6d41\uff0c\u5728\u96f2\u7684\u4e16\u754c\u88e1\u9762\uff0c\u7531\u65bc\u5927\u90e8\u5206\u7684\u4f7f\u7528\u5834\u666f\u662f\u6309\u9700 (On Demand)\uff0c\u56e0\u6b64 K8S \u6162\u6162\u5730\u4e5f\u662f\u96f2\u7aef\u7ba1\u7406\u8cc7\u6e90\u7684\u4e00\u500b\u5229\u5668\uff0c\u5982\u4f55\u5728 Kubernetes \u4e0a\u8abf\u7528 GPU \u7684\u8cc7\u6e90\u76f8\u5c0d\u5730\u4e5f\u8d8a\u4f86\u8d8a\u666e\u904d\uff0c\u672c\u7bc7\u6574\u7406\u4e86\u76ee\u524d\u7db2\u8def\u4e0a\u53ef\u4ee5\u770b\u5230 Nvidia GPU \u65bc\u64cd\u4f5c\u65b9\u6cd5\uff0c\u4e26\u4e14\u4ecb\u7d39\u4e00\u7a2e\u7c21\u55ae\u5be6\u73fe GPU Time-Slicing \u7684\u8a2d\u5b9a\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/myoceane.fr\/index.php\/\u5728-k8s-\u4e0a\u7c21\u55ae\u5be6\u73fe-nvidia-gpu-time-slicing\/\" \/>\n<meta property=\"og:site_name\" content=\"\u60f3\u65b9\u6d89\u6cd5 - \u91cf\u74f6\u5916\u7684\u5929\u7a7a M-Y-Oceane\" \/>\n<meta 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