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Add doc for Nvidia GPU Operator (#1643)
* Add doc for Nvidia GPU Operator under default applications catalog Signed-off-by: archups <archupsawant@gmail.com> * Minor corrections Signed-off-by: archups <archupsawant@gmail.com> * Removed the references Signed-off-by: archups <archupsawant@gmail.com> * Added refer link and fixed broken link Signed-off-by: archups <archupsawant@gmail.com> * removed unwanted images Signed-off-by: archups <archupsawant@gmail.com> * Added nvidia-gpu-operator to 2.25 docs Signed-off-by: archups <archupsawant@gmail.com> * Fixed test failure Signed-off-by: archups <archupsawant@gmail.com> --------- Signed-off-by: archups <archupsawant@gmail.com>
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...epts/applications/default-applications-catalog/nvidia-gpu-operator/_index.en.md
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title = "Nvidia GPU Operator Application" | ||
linkTitle = "Nvidia GPU Operator" | ||
enterprise = true | ||
date = 2024-03-11T12:57:00+02:00 | ||
weight = 12 | ||
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+++ | ||
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# What is Nvidia GPU Operator? | ||
The NVIDIA GPU Operator uses the operator framework within Kubernetes to automate the management of all NVIDIA software components needed to provision GPU. | ||
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For more information on the Nvidia GPU Operator, please refer to the [official documentation](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/overview.html) | ||
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# How to deploy? | ||
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Nvidia GPU Operator is available as part of the KKP's default application catalog. | ||
It can be deployed to the user cluster either during the cluster creation or after the cluster is ready(existing cluster) from the Applications tab via UI. | ||
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* Select the Nvidia GPU Operator application from the Application Catalog. | ||
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![Select Nvidia GPU Operator Application](/img/kubermatic/common/applications/default-apps-catalog/01-select-application-nvidia-gpu-operator-app.png) | ||
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* Under the Settings section, select and provide appropriate details and clck `-> Next` button. | ||
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![Settings for Nvidia GPU Operator Application](/img/kubermatic/common/applications/default-apps-catalog/02-settings-nvidia-gpu-operator-app.png) | ||
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* Under the Application values page section, check the default values and add values if any required to be configured explicitly. Finally click on the `+ Add Application` to deploy the Nvidia GPU Operator application to the user cluster. | ||
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To further configure the values.yaml, find more information on the [Nvidia GPU Operator Helm chart documentation](https://github.com/NVIDIA/gpu-operator/) |
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...cept/kkp-concepts/applications/default-applications-catalog/k8sgpt/_index.en.md
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...pt/kkp-concepts/applications/default-applications-catalog/kubevirt/_index.en.md
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...epts/applications/default-applications-catalog/nvidia-gpu-operator/_index.en.md
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,30 @@ | ||
+++ | ||
title = "Nvidia GPU Operator Application" | ||
linkTitle = "Nvidia GPU Operator" | ||
enterprise = true | ||
date = 2024-03-11T12:57:00+02:00 | ||
weight = 12 | ||
|
||
+++ | ||
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# What is Nvidia GPU Operator? | ||
The NVIDIA GPU Operator uses the operator framework within Kubernetes to automate the management of all NVIDIA software components needed to provision GPU. | ||
|
||
For more information on the Nvidia GPU Operator, please refer to the [official documentation](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/overview.html) | ||
|
||
# How to deploy? | ||
|
||
Nvidia GPU Operator is available as part of the KKP's default application catalog. | ||
It can be deployed to the user cluster either during the cluster creation or after the cluster is ready(existing cluster) from the Applications tab via UI. | ||
|
||
* Select the Nvidia GPU Operator application from the Application Catalog. | ||
|
||
![Select Nvidia GPU Operator Application](/img/kubermatic/common/applications/default-apps-catalog/01-select-application-nvidia-gpu-operator-app.png) | ||
|
||
* Under the Settings section, select and provide appropriate details and clck `-> Next` button. | ||
|
||
![Settings for Nvidia GPU Operator Application](/img/kubermatic/common/applications/default-apps-catalog/02-settings-nvidia-gpu-operator-app.png) | ||
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* Under the Application values page section, check the default values and add values if any required to be configured explicitly. Finally click on the `+ Add Application` to deploy the Nvidia GPU Operator application to the user cluster. | ||
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||
To further configure the values.yaml, find more information on the [Nvidia GPU Operator Helm chart documentation](https://github.com/NVIDIA/gpu-operator/) |
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