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Copy file name to clipboardExpand all lines: content/en/docs/control-center/genai-resources-self-service.md
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## Introduction
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The GenAI Resources section provides a detailed overview of all Mendix GenAI resources available within your company. This feature enables users to seamlessly provision and deprovision GenAI Resources as needed. With this feature, company admins can efficiently manage all GenAI Resources directly within the Control Center through a self-service capability, ensuring streamlined operations and improved governance. For more information, see Accessing GenAI Resources(link).
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The GenAI Resources section provides a detailed overview of all Mendix GenAI resources available within your company. This feature enables users to seamlessly provision and deprovision GenAI resources as needed. With this feature, company admins can efficiently manage all GenAI resources directly within the [Control Center](https://controlcenter.mendix.com/index.html) through a self-service capability, ensuring streamlined operations and improved governance. For more information, see [Accessing GenAI Resources](link).
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## Prerequisites
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Self-service provisioning of GenAI Resources using Mendix Cloud tokens is available only to users who meet the following conditions:
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Self-service provisioning of GenAI resources using Mendix Cloud tokens is available only to users who meet the following conditions:
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1. Sufficient token entitlements: The user should have an adequate number of available Mendix Cloud token entitlements to allocate for GenAI resource provisioning.
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2. Valid subscription plan: The user's Mendix subscription must be based on the FY21 or newer price list. Older subscription plans are not eligible for provisioning.
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## Overview of Deployed Resources
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The overview page provides a centralized view of all deployed GenAI resources, including Text Generation Resources, Embeddings Generation Resources, and knowledge base resources. From this page, you can easily review the status, basic information, and usage details of each deployed resource. The list below shows detailed information about your GenAI resource.
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The overview page provides a centralized view of all deployed GenAI resources, including text generation resources, embeddings generation resources, and knowledge base resources. From this page, you can easily review the status, basic information, and usage details of each deployed resource. The list below shows detailed information about your GenAI resource.
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Status: shows the current status of the resource
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Name: indicates the name of the resource
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Status: shows the current status of the resource.
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Name: indicates the name of the resource.
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Model: indicates which model is used, for example, Anthropic Claude Sonnet 4.0.
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Plan: indicates the subscription plan used for resources (for example, small, medium, or large).
You can provision any GenAI resources directly within the Control Center using self-service capability.
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To do so, select the appropriate resource type and click Provision Resource.
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To do so, select the appropriate resource type and click **Provision Resource**.
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{{% alert color="info" %}}
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Ensure that you are in the correct resource tab before provisioning. For example, to create a new Text Generation resource, first select the Text Generation Resources section.
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Ensure that you are in the correct resource tab before provisioning. For example, to create a new text generation resource, first select the **Text Generation Resources** section.
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{{% /alert %}}
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When provisioning a new resource, enter the following information:
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Display Name: indicates the name of the resource.
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Environment: Specifies the environment for which the resource is created, such as test, acceptance, or production.
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Environment: specifies the environment for which the resource is created, such as test, acceptance, or production.
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Mendix Cloud Region: indicates the cloud region where the resource will be hosted.
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Cross Region inference: specifies whether the selected model supports cross-region inference. For more information, see, Cross-Region Inference (CRI) section of Navigate through the Mendix Cloud GenAI Portal.
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Available Text Generation Modes: lists the supported models you can choose from, for example, Anthropic Claude Sonnet V4
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Size: indicates the subscription plan with the tokens used for resources
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User: The name of the user for whom the provisioning was initially created
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Email: The email address of the user
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Cross-region inference: specifies whether the selected model supports cross-region inference. For more information, see the [Settings](/appstore/modules/genai/mx-cloud-genai/Navigate-MxGenAI/#settings) section of *Navigate through the Mendix Cloud GenAI Portal*.
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Available Text Generation Modes: lists the supported models you can choose from, for example, Anthropic Claude Sonnet V4.
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Size: indicates the subscription plan with the tokens used for resources.
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User: the name of the user for whom the provisioning was initially created.
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Email: the email address of the user.
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After completing the required fields, you can review all entered details in the Resource Specification. To learn more, see Mendix Cloud GenAI Resource Packs.
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After completing the required fields, you can review all entered details in the **Resource Specification**. To learn more, see [Mendix Cloud GenAI Resource Packs](/appstore/modules/genai/mx-cloud-genai/resource-packs/).
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Click Provision Resource to finalize the process. You will return to the GenAI Resources page, where the newly created resource will appear in the list.
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Selecting the newly provisioned resource will open its details directly in the Mendix Cloud GenAI Portal in a new tab.
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Click **Provision Resource** to finalize the process. You will return to the **GenAI Resources** page, where the newly created resource will appear in the list. Selecting the newly provisioned resource will open its details directly in the Mendix Cloud GenAI Portal in a new tab.
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## Deprovisioning GenAI Resources
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If you want to deprovision the resource, click the three dots ({{% icon name="three-dots-menu-horizontal" %}}) icon next to the selected resource and select Deprovision Resource.
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If you want to deprovision the resource, click the three dots ({{% icon name="three-dots-menu-horizontal" %}}) icon next to the selected resource and select **Deprovision Resource**.
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A confirmation pop-up will appear displaying a message and the details of the selected resource, as shown in the example below.
Click Deprovision to proceed. After confirmation, the resource status will update on the GenAI Resource page to reflect that deprovisioning is scheduled.
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Click **Deprovision** to proceed. After confirmation, the resource status will update on the **GenAI Resource** page to reflect that deprovisioning is scheduled.
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{{% alert color="info" %}}
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Your subscription plan operates on a monthly bundle cycle. When you deprovision a resource, the actual deprovisioning will occur at the end of the current subscription month. Until that date, you can still use the resource, and the scheduled deprovisioning date will appear in the resourceStatus.
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Your subscription plan operates on a monthly bundle cycle. When you deprovision a resource, the actual deprovisioning will occur at the end of the current subscription month. Until that date, you can still use the resource, and the scheduled deprovisioning date will appear in the resource's **Status**.
Copy file name to clipboardExpand all lines: content/en/docs/marketplace/genai/mendix-cloud-genai/navigate_mxgenai.md
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***Display Name**: indicates the name of the resource.
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***ID**: indicates the resource ID.
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***Region(s)**: the region where the resource is hosted.
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***Cross Region Inference (CRI)**: shows if the model supports cross-region inference*.
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***Cross Region Inference (CRI)**: shows if the model supports cross-region inference ¹.
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***Cloud Provider**: indicates the cloud provider, for example, AWS.
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***Type**: this is the type of resource, for example, Text Generation, Embedding, Knowledge Base, etc.
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***Model**: indicates which model is used, for example, Anthropic Claude Sonnet 3.5.
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***Plan**: indicates the subscription plan used for compute resources (for example, embedding or text generation resources).
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***Environment**: shows which environment is used, for example, test, acceptance, or production.
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\* Cross-region inference (CRI) allows a model to redirect requests to another region, helping to distribute the load across multiple regions within the same area. So, EU requests always stay within EU regions. Connecting to a cross-region inference profile does not change how the request is sent; the redirection happens on the server side, determining the region to handle the request to get the fastest response. For more information, see [Increase throughput with cross-Region inference](https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference.html). If applicable, CRI profiles are selected during provisioning of a model resource.
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¹ Cross-region inference (CRI) allows a model to redirect requests to another region, helping to distribute the load across multiple regions within the same area. So, EU requests always stay within EU regions. Connecting to a cross-region inference profile does not change how the request is sent; the redirection happens on the server side, determining the region to handle the request to get the fastest response. For more information, see [Increase throughput with cross-Region inference](https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference.html). If applicable, CRI profiles are selected during provisioning of a model resource.
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#### Additional Details for Knowledge Base Resources
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