Adding configuration for jetson
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@@ -27,7 +27,7 @@ kube_users_dir: "{{ kube_config_dir }}/users"
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kube_api_anonymous_auth: true
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## Change this to use another Kubernetes version, e.g. a current beta release
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kube_version: v1.19.2
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kube_version: v1.19.10
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# kubernetes image repo define
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kube_image_repo: "k8s.gcr.io"
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@@ -277,7 +277,8 @@ podsecuritypolicy_enabled: false
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## Supplementary addresses that can be added in kubernetes ssl keys.
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## That can be useful for example to setup a keepalived virtual IP
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# supplementary_addresses_in_ssl_keys: [10.0.0.1, 10.0.0.2, 10.0.0.3]
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# Moritz public ip
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supplementary_addresses_in_ssl_keys: [80.209.218.138]
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## Running on top of openstack vms with cinder enabled may lead to unschedulable pods due to NoVolumeZoneConflict restriction in kube-scheduler.
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## See https://github.com/kubernetes-sigs/kubespray/issues/2141
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@@ -289,13 +290,13 @@ persistent_volumes_enabled: false
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## Container Engine Acceleration
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## Enable container acceleration feature, for example use gpu acceleration in containers
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# nvidia_accelerator_enabled: true
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nvidia_accelerator_enabled: true
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## Nvidia GPU driver install. Install will by done by a (init) pod running as a daemonset.
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## Important: if you use Ubuntu then you should set in all.yml 'docker_storage_options: -s overlay2'
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## Array with nvida_gpu_nodes, leave empty or comment if you don't want to install drivers.
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## Labels and taints won't be set to nodes if they are not in the array.
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# nvidia_gpu_nodes:
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# - kube-gpu-001
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nvidia_gpu_nodes:
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- jetson1.dyndns.moritzgraf.de
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# nvidia_driver_version: "384.111"
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## flavor can be tesla or gtx
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# nvidia_gpu_flavor: gtx
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