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Create and configure the Nvidia daemon set (#4371)
* stuff to get it working * fix lint issues * fix lint issues 2 * fix lint issues 3 * fix linting pt.4 --------- Co-authored-by: Anthony Fitzroy <anthony.fitzroy@justice.gov.uk> Co-authored-by: Anthony Fitzroy <101649764+AntFMoJ@users.noreply.github.com>
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terraform/aws/analytical-platform-development/cluster/.terraform.lock.hcl
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terraform/aws/analytical-platform-development/cluster/helm-charts.tf
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/* | ||
This is commented out because it didn't work. | ||
It wouldn't schedule properly, so we switched to applying the "simple" option with out taints and tolerations | ||
resource "helm_release" "nvidia_device_plugin" { | ||
name = "nvidia-device-plugin" | ||
repository = "https://nvidia.github.io/k8s-device-plugin" | ||
chart = "nvidia-device-plugin" | ||
version = "0.15.0" | ||
namespace = "kube-system" | ||
values = [ | ||
templatefile( | ||
"${path.module}/src/helm/nvidia/values.yml.tftpl", {} | ||
) | ||
] | ||
} | ||
*/ |
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terraform/aws/analytical-platform-development/cluster/kubernetes-manifests.tf
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resource "kubernetes_manifest" "nvidia_device_plugin" { | ||
manifest = yamldecode(file("src/kubernetes/nvidia-device-plugin.yml")) | ||
} |
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terraform/aws/analytical-platform-development/cluster/src/helm/nvidia/values.yml.tftpl
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--- | ||
affinity: {} | ||
nodeSelector: | ||
gpu-compute: "true" | ||
tolerations: | ||
- key: nvidia.com/gpu | ||
operator: Exists | ||
effect: NoSchedule | ||
- key: gpu-compute | ||
operator: Exists | ||
effect: NoSchedule |
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...aform/aws/analytical-platform-development/cluster/src/kubernetes/nvidia-device-plugin.yml
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# 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: | ||
labels: | ||
name: nvidia-device-plugin-ds | ||
spec: | ||
# @ministryofjustice/analytical-platform: We added this nodeSelector | ||
nodeSelector: | ||
gpu-compute: "true" | ||
tolerations: | ||
- key: nvidia.com/gpu | ||
operator: Exists | ||
effect: NoSchedule | ||
# @ministryofjustice/analytical-platform: We added this toleration | ||
- key: gpu-compute | ||
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: nvcr.io/nvidia/k8s-device-plugin:v0.15.0 | ||
name: nvidia-device-plugin-ctr | ||
env: | ||
- name: FAIL_ON_INIT_ERROR | ||
value: "false" | ||
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 |
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