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# Follow the official NVIDIA GPU Operator documentation
# to install the GPU operator with these settings:
# https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/getting-started.html
#
# This example is for a Nvidia T4 16gb GPU node pool with only 1 GPU on each node on Azure AKS.
# It uses time-slicing to share the a and claim to the system that 1 GPU is 4 GPUs.
# So each pod has access to a smaller gpu with 4gb of memory.
#
devicePlugin: # Remove this if you dont want to use time-slicing
config:
create: true
name: "time-slicing-config"
default: "any"
data:
any: |-
version: v1
flags:
migStrategy: none
sharing:
timeSlicing:
resources:
- name: nvidia.com/gpu
replicas: 4
daemonsets:
tolerations:
- key: "sku"
operator: Equal
value: "gpu"
effect: NoSchedule
- key: "kubernetes.azure.com/scalesetpriority"
operator: Equal
value: "spot"
effect: NoSchedule
node-feature-discovery:
master:
tolerations:
- key: "sku"
operator: Equal
value: "gpu"
effect: NoSchedule
- key: "kubernetes.azure.com/scalesetpriority"
operator: Equal
value: "spot"
effect: NoSchedule
worker:
tolerations:
- key: "sku"
operator: Equal
value: "gpu"
effect: NoSchedule
- key: "kubernetes.azure.com/scalesetpriority"
operator: Equal
value: "spot"
effect: NoSchedule |