Gluttony-Cluster/nvidia/helmrelease-nvidia-operator.yaml
Tyler Perkins 0e693ec22f
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Add back nvidia operator
2024-04-29 20:50:54 -04:00

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YAML

apiVersion: helm.toolkit.fluxcd.io/v2beta1
kind: HelmRelease
metadata:
name: gpu-operator
namespace: nvidia-system
spec:
chart:
spec:
chart: gpu-operator
sourceRef:
kind: HelmRepository
name: nvidia-operator
namespace: flux-system
interval: 15m0s
timeout: 5m
releaseName: gpu-operator
values:
# Default values for gpu-operator.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
platform:
openshift: false
nfd:
enabled: true
nodefeaturerules: false
psa:
enabled: false
cdi:
enabled: false
default: false
sandboxWorkloads:
enabled: false
defaultWorkload: "container"
daemonsets:
labels: {}
annotations: {}
priorityClassName: system-node-critical
tolerations:
- key: nvidia.com/gpu
operator: Exists
effect: NoSchedule
# configuration for controlling update strategy("OnDelete" or "RollingUpdate") of GPU Operands
# note that driver Daemonset is always set with OnDelete to avoid unintended disruptions
updateStrategy: "RollingUpdate"
# configuration for controlling rolling update of GPU Operands
rollingUpdate:
# maximum number of nodes to simultaneously apply pod updates on.
# can be specified either as number or percentage of nodes. Default 1.
maxUnavailable: "1"
validator:
repository: nvcr.io/nvidia/cloud-native
image: gpu-operator-validator
# If version is not specified, then default is to use chart.AppVersion
#version: ""
imagePullPolicy: IfNotPresent
imagePullSecrets: []
env: []
args: []
resources: {}
plugin:
env:
- name: WITH_WORKLOAD
value: "false"
operator:
repository: nvcr.io/nvidia
image: gpu-operator
# If version is not specified, then default is to use chart.AppVersion
#version: ""
imagePullPolicy: IfNotPresent
imagePullSecrets: []
priorityClassName: system-node-critical
defaultRuntime: docker
runtimeClass: nvidia
use_ocp_driver_toolkit: false
# cleanup CRD on chart un-install
cleanupCRD: false
# upgrade CRD on chart upgrade, requires --disable-openapi-validation flag
# to be passed during helm upgrade.
upgradeCRD: false
initContainer:
image: cuda
repository: nvcr.io/nvidia
version: 12.3.2-base-ubi8
imagePullPolicy: IfNotPresent
tolerations:
- key: "node-role.kubernetes.io/master"
operator: "Equal"
value: ""
effect: "NoSchedule"
- key: "node-role.kubernetes.io/control-plane"
operator: "Equal"
value: ""
effect: "NoSchedule"
annotations:
openshift.io/scc: restricted-readonly
affinity:
nodeAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 1
preference:
matchExpressions:
- key: "node-role.kubernetes.io/master"
operator: In
values: [""]
- weight: 1
preference:
matchExpressions:
- key: "node-role.kubernetes.io/control-plane"
operator: In
values: [""]
logging:
# Zap time encoding (one of 'epoch', 'millis', 'nano', 'iso8601', 'rfc3339' or 'rfc3339nano')
timeEncoding: epoch
# Zap Level to configure the verbosity of logging. Can be one of 'debug', 'info', 'error', or any integer value > 0 which corresponds to custom debug levels of increasing verbosity
level: info
# Development Mode defaults(encoder=consoleEncoder,logLevel=Debug,stackTraceLevel=Warn)
# Production Mode defaults(encoder=jsonEncoder,logLevel=Info,stackTraceLevel=Error)
develMode: false
resources:
limits:
cpu: 500m
memory: 350Mi
requests:
cpu: 200m
memory: 100Mi
mig:
strategy: single
driver:
enabled: true
nvidiaDriverCRD:
enabled: false
deployDefaultCR: true
driverType: gpu
nodeSelector: {}
useOpenKernelModules: false
# use pre-compiled packages for NVIDIA driver installation.
# only supported for as a tech-preview feature on ubuntu22.04 kernels.
usePrecompiled: false
repository: nvcr.io/nvidia
image: driver
version: "550.54.15"
imagePullPolicy: IfNotPresent
imagePullSecrets: []
startupProbe:
initialDelaySeconds: 60
periodSeconds: 10
# nvidia-smi can take longer than 30s in some cases
# ensure enough timeout is set
timeoutSeconds: 60
failureThreshold: 120
rdma:
enabled: false
useHostMofed: false
upgradePolicy:
# global switch for automatic upgrade feature
# if set to false all other options are ignored
autoUpgrade: true
# how many nodes can be upgraded in parallel
# 0 means no limit, all nodes will be upgraded in parallel
maxParallelUpgrades: 1
# maximum number of nodes with the driver installed, that can be unavailable during
# the upgrade. Value can be an absolute number (ex: 5) or
# a percentage of total nodes at the start of upgrade (ex:
# 10%). Absolute number is calculated from percentage by rounding
# up. By default, a fixed value of 25% is used.'
maxUnavailable: 25%
# options for waiting on pod(job) completions
waitForCompletion:
timeoutSeconds: 0
podSelector: ""
# options for gpu pod deletion
gpuPodDeletion:
force: false
timeoutSeconds: 300
deleteEmptyDir: false
# options for node drain (`kubectl drain`) before the driver reload
# this is required only if default GPU pod deletions done by the operator
# are not sufficient to re-install the driver
drain:
enable: false
force: false
podSelector: ""
# It's recommended to set a timeout to avoid infinite drain in case non-fatal error keeps happening on retries
timeoutSeconds: 300
deleteEmptyDir: false
manager:
image: k8s-driver-manager
repository: nvcr.io/nvidia/cloud-native
# When choosing a different version of k8s-driver-manager, DO NOT downgrade to a version lower than v0.6.4
# to ensure k8s-driver-manager stays compatible with gpu-operator starting from v24.3.0
version: v0.6.7
imagePullPolicy: IfNotPresent
env:
- name: ENABLE_GPU_POD_EVICTION
value: "true"
- name: ENABLE_AUTO_DRAIN
value: "false"
- name: DRAIN_USE_FORCE
value: "false"
- name: DRAIN_POD_SELECTOR_LABEL
value: ""
- name: DRAIN_TIMEOUT_SECONDS
value: "0s"
- name: DRAIN_DELETE_EMPTYDIR_DATA
value: "false"
env: []
resources: {}
# Private mirror repository configuration
repoConfig:
configMapName: ""
# custom ssl key/certificate configuration
certConfig:
name: ""
# vGPU licensing configuration
licensingConfig:
configMapName: ""
nlsEnabled: true
# vGPU topology daemon configuration
virtualTopology:
config: ""
# kernel module configuration for NVIDIA driver
kernelModuleConfig:
name: ""
toolkit:
enabled: true
repository: nvcr.io/nvidia/k8s
image: container-toolkit
version: v1.15.0-rc.4-ubuntu20.04
imagePullPolicy: IfNotPresent
imagePullSecrets: []
env:
- name: CONTAINERD_CONFIG
value: /var/lib/rancher/k3s/agent/etc/containerd/config.toml
- name: CONTAINERD_SOCKET
value: /run/k3s/containerd/containerd.sock
resources: {}
installDir: "/usr/local/nvidia"
devicePlugin:
enabled: true
repository: nvcr.io/nvidia
image: k8s-device-plugin
version: v0.15.0-rc.2-ubi8
imagePullPolicy: IfNotPresent
imagePullSecrets: []
args: []
env:
- name: PASS_DEVICE_SPECS
value: "true"
- name: FAIL_ON_INIT_ERROR
value: "true"
- name: DEVICE_LIST_STRATEGY
value: envvar
- name: DEVICE_ID_STRATEGY
value: uuid
- name: NVIDIA_VISIBLE_DEVICES
value: all
- name: NVIDIA_DRIVER_CAPABILITIES
value: all
resources: {}
# Plugin configuration
# Use "name" to either point to an existing ConfigMap or to create a new one with a list of configurations(i.e with create=true).
# Use "data" to build an integrated ConfigMap from a set of configurations as
# part of this helm chart. An example of setting "data" might be:
# config:
# name: device-plugin-config
# create: true
# data:
# default: |-
# version: v1
# flags:
# migStrategy: none
# mig-single: |-
# version: v1
# flags:
# migStrategy: single
# mig-mixed: |-
# version: v1
# flags:
# migStrategy: mixed
config:
# Create a ConfigMap (default: false)
create: false
# ConfigMap name (either exiting or to create a new one with create=true above)
name: ""
# Default config name within the ConfigMap
default: ""
# Data section for the ConfigMap to create (i.e only applies when create=true)
data: {}
# MPS related configuration for the plugin
mps:
# MPS root path on the host
root: "/run/nvidia/mps"
# standalone dcgm hostengine
dcgm:
# disabled by default to use embedded nv-hostengine by exporter
enabled: false
repository: nvcr.io/nvidia/cloud-native
image: dcgm
version: 3.3.3-1-ubuntu22.04
imagePullPolicy: IfNotPresent
hostPort: 5555
args: []
env: []
resources: {}
dcgmExporter:
enabled: true
repository: nvcr.io/nvidia/k8s
image: dcgm-exporter
version: 3.3.5-3.4.0-ubuntu22.04
imagePullPolicy: IfNotPresent
env:
- name: DCGM_EXPORTER_LISTEN
value: ":9400"
- name: DCGM_EXPORTER_KUBERNETES
value: "true"
- name: DCGM_EXPORTER_COLLECTORS
value: "/etc/dcgm-exporter/dcp-metrics-included.csv"
resources: {}
serviceMonitor:
enabled: false
interval: 15s
honorLabels: false
additionalLabels: {}
relabelings: []
# - source_labels:
# - __meta_kubernetes_pod_node_name
# regex: (.*)
# target_label: instance
# replacement: $1
# action: replace
gfd:
enabled: true
repository: nvcr.io/nvidia
image: k8s-device-plugin
version: v0.15.0-rc.2-ubi8
imagePullPolicy: IfNotPresent
imagePullSecrets: []
env:
- name: GFD_SLEEP_INTERVAL
value: 60s
- name: GFD_FAIL_ON_INIT_ERROR
value: "true"
resources: {}
migManager:
enabled: true
repository: nvcr.io/nvidia/cloud-native
image: k8s-mig-manager
version: v0.6.0-ubuntu20.04
imagePullPolicy: IfNotPresent
imagePullSecrets: []
env:
- name: WITH_REBOOT
value: "false"
resources: {}
config:
name: "default-mig-parted-config"
default: "all-disabled"
gpuClientsConfig:
name: ""
nodeStatusExporter:
enabled: false
repository: nvcr.io/nvidia/cloud-native
image: gpu-operator-validator
# If version is not specified, then default is to use chart.AppVersion
#version: ""
imagePullPolicy: IfNotPresent
imagePullSecrets: []
resources: {}
gds:
enabled: false
repository: nvcr.io/nvidia/cloud-native
image: nvidia-fs
version: "2.17.5"
imagePullPolicy: IfNotPresent
imagePullSecrets: []
env: []
args: []
gdrcopy:
enabled: false
repository: nvcr.io/nvidia/cloud-native
image: gdrdrv
version: "v2.4.1"
imagePullPolicy: IfNotPresent
imagePullSecrets: []
env: []
args: []
vgpuManager:
enabled: false
repository: ""
image: vgpu-manager
version: ""
imagePullPolicy: IfNotPresent
imagePullSecrets: []
env: []
resources: {}
driverManager:
image: k8s-driver-manager
repository: nvcr.io/nvidia/cloud-native
# When choosing a different version of k8s-driver-manager, DO NOT downgrade to a version lower than v0.6.4
# to ensure k8s-driver-manager stays compatible with gpu-operator starting from v24.3.0
version: v0.6.7
imagePullPolicy: IfNotPresent
env:
- name: ENABLE_GPU_POD_EVICTION
value: "false"
- name: ENABLE_AUTO_DRAIN
value: "false"
vgpuDeviceManager:
enabled: true
repository: nvcr.io/nvidia/cloud-native
image: vgpu-device-manager
version: "v0.2.5"
imagePullPolicy: IfNotPresent
imagePullSecrets: []
env: []
config:
name: ""
default: "default"
vfioManager:
enabled: true
repository: nvcr.io/nvidia
image: cuda
version: 12.3.2-base-ubi8
imagePullPolicy: IfNotPresent
imagePullSecrets: []
env: []
resources: {}
driverManager:
image: k8s-driver-manager
repository: nvcr.io/nvidia/cloud-native
# When choosing a different version of k8s-driver-manager, DO NOT downgrade to a version lower than v0.6.4
# to ensure k8s-driver-manager stays compatible with gpu-operator starting from v24.3.0
version: v0.6.7
imagePullPolicy: IfNotPresent
env:
- name: ENABLE_GPU_POD_EVICTION
value: "false"
- name: ENABLE_AUTO_DRAIN
value: "false"
kataManager:
enabled: false
config:
artifactsDir: "/opt/nvidia-gpu-operator/artifacts/runtimeclasses"
runtimeClasses:
- name: kata-qemu-nvidia-gpu
nodeSelector: {}
artifacts:
url: nvcr.io/nvidia/cloud-native/kata-gpu-artifacts:ubuntu22.04-535.54.03
pullSecret: ""
- name: kata-qemu-nvidia-gpu-snp
nodeSelector:
"nvidia.com/cc.capable": "true"
artifacts:
url: nvcr.io/nvidia/cloud-native/kata-gpu-artifacts:ubuntu22.04-535.86.10-snp
pullSecret: ""
repository: nvcr.io/nvidia/cloud-native
image: k8s-kata-manager
version: v0.1.2
imagePullPolicy: IfNotPresent
imagePullSecrets: []
env: []
resources: {}
sandboxDevicePlugin:
enabled: true
repository: nvcr.io/nvidia
image: kubevirt-gpu-device-plugin
version: v1.2.6
imagePullPolicy: IfNotPresent
imagePullSecrets: []
args: []
env: []
resources: {}
ccManager:
enabled: false
defaultMode: "off"
repository: nvcr.io/nvidia/cloud-native
image: k8s-cc-manager
version: v0.1.1
imagePullPolicy: IfNotPresent
imagePullSecrets: []
env:
- name: CC_CAPABLE_DEVICE_IDS
value: "0x2339,0x2331,0x2330,0x2324,0x2322,0x233d"
resources: {}
node-feature-discovery:
enableNodeFeatureApi: true
gc:
enable: true
replicaCount: 1
serviceAccount:
name: node-feature-discovery
create: false
worker:
serviceAccount:
name: node-feature-discovery
# disable creation to avoid duplicate serviceaccount creation by master spec below
create: false
tolerations:
- key: "node-role.kubernetes.io/master"
operator: "Equal"
value: ""
effect: "NoSchedule"
- key: "node-role.kubernetes.io/control-plane"
operator: "Equal"
value: ""
effect: "NoSchedule"
- key: nvidia.com/gpu
operator: Exists
effect: NoSchedule
config:
sources:
pci:
deviceClassWhitelist:
- "02"
- "0200"
- "0207"
- "0300"
- "0302"
deviceLabelFields:
- vendor
master:
serviceAccount:
name: node-feature-discovery
create: true
config:
extraLabelNs: ["nvidia.com"]
# noPublish: false
# resourceLabels: ["nvidia.com/feature-1","nvidia.com/feature-2"]
# enableTaints: false
# labelWhiteList: "nvidia.com/gpu"