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chore: update the DA overview text and feature section (#77)
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ibm_catalog.json

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],
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"provider_name": "IBM",
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"short_description": "Deploys IBM Watsonx services to a Red Hat OpenShift cluster",
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"long_description": "Solution that deploys Watsonx services (watsonx.ai, watsonx.data, Watson Assistant, Watson Discovery) on an existing Red Hat OpenShift cluster.\n\n## Prerequisites\n- Red Hat OpenShift on IBM Cloud version 4.18 or higher\n- [Cloud Pak for Data entitlement key](https://myibm.ibm.com/products-services/containerlibrary)\n- GPU worker nodes that meet [IBM Cloud Pak for Data](https://www.ibm.com/docs/en/software-hub/5.1.x?topic=requirements-hardware) requirements for watsonx software\n- [OpenShift AI in Red Hat OpenShift](https://cloud.ibm.com/docs/openshift?topic=openshift-ai-addon-about) installed\n- [OpenShift Data Foundation](https://cloud.ibm.com/docs/openshift?topic=openshift-ocs-storage-prep) installed. You can install this via the deployable architecture",
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"long_description": "Solution that deploys Watsonx services (watsonx.ai, watsonx.data, Watson Assistant, Watson Discovery) on an existing Red Hat OpenShift cluster. \n\nLeverage [Terraform IBM Modules](https://github.com/terraform-ibm-modules) to shape and scale your solutions. You can integrate Terraform IBM Modules (TIM) to extend functionality and design a solution tailored to your environment and operations needs. These modules offer reusable, customizable elements that follow IBM Cloud's recommended practices. You can access the [source code and documentation](https://github.com/terraform-ibm-modules/terraform-ibm-watsonx-self-managed-ocp) and use it to extend your current architecture or create new solutions.\n\n## Prerequisites\n- Red Hat OpenShift on IBM Cloud version 4.18 or higher\n- [Cloud Pak for Data entitlement key](https://myibm.ibm.com/products-services/containerlibrary)\n- GPU worker nodes that meet [IBM Cloud Pak for Data](https://www.ibm.com/docs/en/software-hub/5.1.x?topic=requirements-hardware) requirements for watsonx software\n- [OpenShift AI in Red Hat OpenShift](https://cloud.ibm.com/docs/openshift?topic=openshift-ai-addon-about) installed\n- [OpenShift Data Foundation](https://cloud.ibm.com/docs/openshift?topic=openshift-ocs-storage-prep) installed. You can install this via the deployable architecture",
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"offering_docs_url": "https://github.com/terraform-ibm-modules/terraform-ibm-watsonx-self-managed-ocp/blob/main/solutions/fully-configurable/README.md",
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"offering_icon_url": "https://raw.githubusercontent.com/terraform-ibm-modules/terraform-ibm-watsonx-self-managed-ocp/main/images/watsonx-self-managed-ocp.svg",
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"support_details": "This product is in the community registry, as such support is handled through the originated repo. If you experience issues please open an issue in the following [issues repository](https://github.com/terraform-ibm-modules/terraform-ibm-watsonx-self-managed-ocp/issues). Please note this product is not supported via the IBM Cloud Support Center.",
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{
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"title": "Customizable Resource Configuration",
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"description": "Allows customization of machine types, worker pools, and storage options to fit workload requirements."
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},
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{
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"title": "Composable and Extensible Architecture",
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"description": "This architecture illustrates how Terraform IBM Modules(TIM) can be integrated to deliver a complete solution on IBM Cloud. Each module is a reusable, and validated component for security, compliance, and operational IBM best practices. You can deploy this architecture as-is or configure it as code by leveraging the underlying modules to fit your specific requirements. Explore the [source code and documentation](https://github.com/terraform-ibm-modules/terraform-ibm-watsonx-self-managed-ocp) to adapt, extend, or create entirely new solutions using these building blocks."
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}
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],
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"flavors": [

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