starlingx/docs
Code Issues Proposed changes

Update in NVIDIA T4 GPU Support

Browse Source 
Updated documentation in Node Management Guide
Input from Jira comments

fixed formatting issues

This is a new review: https://review.opendev.org/c/starlingx/docs/+/794859

Previous review merged: https://review.opendev.org/c/starlingx/docs/+/785251

Signed-off-by: Adil <mohamed.adilassakkali@windriver.com>
Change-Id: I9aef3f5487e6e28986521c88748bb09b8c465f84
This commit is contained in:
Adil 2021-06-04 13:17:23 -03:00
parent aef988d020
commit 28d9e9be13
2 changed files with 12 additions and 13 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

23
doc/source/node_management/kubernetes/hardware_acceleration_devices/configure-nvidia-gpu-operator-for-pci-passthrough.rst
View File

@ -92,16 +92,14 @@ Use the following steps to configure the GPU Operator container:
.. code-block:: none
~(keystone_admin)]$ kubectl get pods –A
NAMESPACE NAME READY STATUS RESTART AGE
default g-node.. 1/1 Running 1 7h54m
default g-node.. 1/1 Running 1 7h54m
default gpu-ope. 1/1 Running 1 7h54m
gpu-operator-resources gpu-.. 1/1 Running 4 28m
gpu-operator-resources nvidia.. 1/1 Running 0 28m
gpu-operator-resources nvidia.. 1/1 Running 0 28m
gpu-operator-resources nvidia.. 1/1 Running 0 28m
gpu-operator-resources nvidia.. 0/1 Completed 0 7h53m
gpu-operator-resources nvidia.. 1/1 Running 0 28m
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
The plugin validation pod is marked completed.
@ -126,8 +124,9 @@ Use the following steps to configure the GPU Operator container:
runtimeClassName: nvidia
containers:
- name: nvidia-usage-example-pod
image: nvidia/samples:cuda10.2-vectorAdd
imagePullPolicy: IfNotPresent command: [ "/bin/bash", "-c", "--" ]
image: nvidia/samples:cuda10.2-vectorAdd
imagePullPolicy: IfNotPresent
command: [ "/bin/bash", "-c", "--" ]
args: [ "while true; do sleep 300000; done;" ]
resources:
requests:

2
doc/source/node_management/kubernetes/hardware_acceleration_devices/delete-the-gpu-operator.rst
View File

@ -20,7 +20,7 @@ Ensure that all user generated pods with access to `nvidia.com/gpu` resources ar
.. code-block:: none
~(keystone_admin)]$ helm delete --purge gpu-operator
~(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