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odh-769-2 custom notebooks continued (#457)
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assemblies/creating-custom-workbench-images.adoc

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[id="creating-custom-workbench-images"]
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= Creating custom workbench images
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:upstream:
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//:preview:
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{productname-long} includes a selection of default workbench images that a data scientist can select when they create or edit a workbench.
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You have the following options for creating a custom workbench image:
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ifdef::upstream[]
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* Start from one of the default images, as described in
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link:{odhdocshome}/managing-resources/#creating-a-custom-image-from-default-image_custom-images[Creating a custom image from a default {productname-short} image]
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* Create your own image by following the guidelines for making it compatible with OpenShift AI, as described in
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link:{odhdocshome}/managing-resources/#creating-a-custom-image-from-your-own-image_custom-images[Creating a custom image from your own image]
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endif::[]
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ifndef::upstream[]
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* Start from one of the default images, as described in
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link:{rhoaidocshome}{default-format-url}/managing_resources/creating-custom-workbench-images#creating-a-custom-image-from-default-image_custom-images[Creating a custom image from a default {productname-short} image]
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* Create your own image by following the guidelines for making it compatible with OpenShift AI, as described in
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link:{rhoaidocshome}{default-format-url}/managing_resources/creating-custom-workbench-images#creating-a-custom-image-from-your-own-image_custom-images[Creating a custom image from your own image]
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endif::[]
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ifndef::upstream[]
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[IMPORTANT]
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====
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{org-name} supports adding custom workbench images to your deployment of {productname-short}, ensuring that they are available for selection when creating a workbench. However, {org-name} does not support the contents of your custom workbench image. That is, if your custom workbench image is available for selection during workbench creation, but does not create a usable workbench, {org-name} does not provide support to fix your custom workbench image.
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====
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endif::[]
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.Additional resources
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For a list of the {productname-short} default workbench images and their pre-installed packages, see link:https://access.redhat.com/articles/rhoai-supported-configs[Supported Configurations].
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end
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endif::[]
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For more information about creating images, see the following resources:
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* link:https://docs.redhat.com/en/documentation/openshift_container_platform/4.16/html/images/creating-images[Red Hat OpenShift Container Platform - Creating Images]

managing-resources.adoc

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include::assemblies/customizing-component-deployment-resources.adoc[leveloffset=+1]
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include::assemblies/creating-custom-workbench-images.adoc[leveloffset=+1]
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include::assemblies/managing-notebook-servers.adoc[leveloffset=+1]
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include::modules/backing-up-storage-data.adoc[leveloffset=+1]

modules/about-workbench-images.adoc

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The following table lists the workbench images that are installed with {productname-long} by default.
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If the pre-installed packages that are provided in these images are not sufficient for your use case, you have the following options:
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If the preinstalled packages that are provided in these images are not sufficient for your use case, you have the following options:
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* Install additional libraries after launching a default image. This option is good if you want to add libraries on an adhoc basis as you develop models. However, it can be challenging to manage the dependencies of installed libraries and your changes are not saved when the workbench restarts.
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modules/creating-a-custom-image-from-default-image.adoc

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* You know which default image you want to use as the base for your custom image.
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ifndef::upstream[]
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See link:https://access.redhat.com/articles/rhoai-supported-configs[Supported Configurations] for a list of the {productname-short} default workbench images and their pre-installed packages.
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See link:https://access.redhat.com/articles/rhoai-supported-configs[Supported Configurations] for a list of the {productname-short} default workbench images and their preinstalled packages.
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endif::[]
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* You have `cluster-admin` access to the OpenShift console for the cluster where {productname-short} is installed.

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