starlingx/docs
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Merge "Nvidia gpu-operator deployment updates"

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Zuul 2021-12-06 17:14:33 +00:00 committed by Gerrit Code Review
commit acdf534b63
2 changed files with 21 additions and 30 deletions
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50
doc/source/node_management/kubernetes/hardware_acceleration_devices/configure-nvidia-gpu-operator-for-pci-passthrough.rst
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@ -39,9 +39,9 @@ software components. These components include:
.. rubric:: |prereq|
Download the **gpu-operator-v3-1.6.0.3.tgz** file at
`http://mirror.starlingx.cengn.ca/mirror/starlingx/
<http://mirror.starlingx.cengn.ca/mirror/starlingx/>`__.
Download the **gpu-operator-v3-1.8.1.4.tgz** file at
`http://mirror.starlingx.cengn.ca/mirror/starlingx/release/latest_release/centos/containers/inputs/downloads/
<http://mirror.starlingx.cengn.ca/mirror/starlingx/release/latest_release/centos/containers/inputs/downloads/>`__.
Use the following steps to configure the GPU Operator container:
@ -53,7 +53,8 @@ Use the following steps to configure the GPU Operator container:
~(keystone_admin)]$ system host-lock <hostname>
#. Configure the Container Runtime host path to the NVIDIA runtime which will be installed by the GPU Operator Helm deployment.
#. Configure the Container Runtime host path to the NVIDIA runtime which will
be installed by the GPU Operator Helm deployment.
.. code-block:: none
@ -65,41 +66,32 @@ Use the following steps to configure the GPU Operator container:
~(keystone_admin)]$ system host-unlock <hostname>
#. Create the RuntimeClass resource definition and apply it to the system.
.. code-block:: none
cat > nvidia.yml << EOF
kind: RuntimeClass
apiVersion: node.k8s.io/v1beta1
metadata:
name: nvidia
handler: nvidia
EOF
.. code-block:: none
~(keystone_admin)]$ kubectl apply -f nvidia.yml
#. Install the GPU Operator Helm charts.
.. code-block:: none
~(keystone_admin)]$ helm install gpu-operator /path/to/gpu-operator-1.6.0.3.tgz
~(keystone_admin)]$ helm install gpu-operator /path/to/gpu-operator-v3-1.8.1.4.tgz
#. Check if the GPU Operator is deployed using the following command.
.. code-block:: none
~(keystone_admin)]$ kubectl get pods –A
NAMESPACE NAME READY STATUS RESTART AGE
default gpu-operator-596c49cb9b-2tdlw 1/1 Running 1 24h
default gpu-operator-node-feature-discovery-master-7f87b4d6bb-wsbn4 1/1 Running 2 24h
default gpu-operator-node-feature-discovery-worker-hqzvw 1/1 Running 4 24h
gpu-operator-resources nvidia-container-toolkit-daemonset-8f7nl 1/1 Running 0 14h
gpu-operator-resources nvidia-device-plugin-daemonset-g9lmk 1/1 Running 0 14h
gpu-operator-resources nvidia-device-plugin-validation 0/1 Pending 0 24h
gpu-operator-resources nvidia-driver-daemonset-9mnwr 1/1 Running 0 14h
NAMESPACE NAME READY STATUS RESTARTS AGE
..............
default gpu-operator-5dddfcbb58-xpwbh 1/1 Running 0 3m13s
default gpu-operator-node-feature-discovery-master-58d884d5cc-56qch 1/1 Running 0 3m13s
default gpu-operator-node-feature-discovery-worker-p495j 1/1 Running 0 3m13s
gpu-operator-resources gpu-feature-discovery-swmj8 1/1 Running 0 2m52s
gpu-operator-resources nvidia-cuda-validator-zcfp9 0/1 Completed 0 2m31s
gpu-operator-resources nvidia-dcgm-9447k 1/1 Running 0 2m52s
gpu-operator-resources nvidia-dcgm-exporter-9c82q 1/1 Running 0 2m52s
gpu-operator-resources nvidia-device-plugin-daemonset-ljm4q 1/1 Running 0 2m52s
gpu-operator-resources nvidia-device-plugin-validator-j9kjz 0/1 Completed 0 2m25s
gpu-operator-resources nvidia-driver-daemonset-qph2s 1/1 Running 0 2m52s
gpu-operator-resources nvidia-operator-validator-dw6sc 1/1 Running 0 2m52s
..........
kube-system toolkit-installer-xzrt8 1/1 Running 0 3m13s
The plugin validation pod is marked completed.

1
doc/source/node_management/kubernetes/hardware_acceleration_devices/delete-the-gpu-operator.rst
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@ -21,7 +21,6 @@ Ensure that all user generated pods with access to `nvidia.com/gpu` resources ar
.. code-block:: none
~(keystone_admin)]$ helm delete gpu-operator
~(keystone_admin)]$ kubectl delete runtimeclasses.node.k8s.io nvidia
#. Remove the GPU Operator, and remove the service parameter platform
`container\_runtime custom\_container\_runtime` from the system, using the