{"id":797,"date":"2024-10-16T13:00:13","date_gmt":"2024-10-16T03:00:13","guid":{"rendered":"https:\/\/www.cloudproinc.com.au\/?p=797"},"modified":"2024-10-16T13:00:15","modified_gmt":"2024-10-16T03:00:15","slug":"how-to-deploy-azure-openai-resource-and-model-with-terraform","status":"publish","type":"post","link":"https:\/\/cloudproinc.azurewebsites.net\/index.php\/2024\/10\/16\/how-to-deploy-azure-openai-resource-and-model-with-terraform\/","title":{"rendered":"How to Deploy Azure OpenAI Resource and Model with Terraform"},"content":{"rendered":"\n

In this\u00a0\u00a0Azure\u00a0and Terraform blog post, we\u2019ll show how to Deploy Azure OpenAI Resource and Model with Terraform.<\/p>\n\n\n\n\n\n\n\n

Terraform is an open-source infrastructure as a code software tool that enables you to safely and predictably create, change, and improve infrastructure.<\/p>\n\n\n\n

Below is the Terraform code needed to achieve this. We\u2019ll create a resource group, an Azure OpenAI resource, and deploy a model.<\/p>\n\n\n\n

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  1. Install Terraform<\/strong>: Before you begin, ensure you have Terraform installed on your machine.<\/li>\n\n\n\n
  2. Provider Configuration<\/strong>: The first step in the Terraform script is to configure the Azure provider. This allows Terraform to interact with your Azure subscription.<\/li>\n\n\n\n
  3. Create a Resource Group<\/strong>: Resource groups in Azure are logical containers where Azure resources are deployed and managed.<\/li>\n\n\n\n
  4. Create an Azure OpenAI Resource<\/strong>: This resource represents the Azure Cognitive Service\u2019s OpenAI instance.<\/li>\n\n\n\n
  5. Deploy a Model<\/strong>: Finally, we\u2019ll deploy the GPT-4 model on the Azure OpenAI resource. Here, you specify the model and the scale settings.<\/li>\n<\/ol>\n\n\n\n

    How to Deploy Azure OpenAI Resource and Model with Terraform<\/h2>\n\n\n\n

    Use the code below to deploy the resource and model.<\/p>\n\n\n\n

    provider \"azurerm\" {\n    features {}\n}\n\nresource \"azurerm_resource_group\" \"example\" {\n    name     = \"rg-terraform-ai\"\n    location = \"east US\"\n}\n\nresource \"azurerm_cognitive_account\" \"example\" {\n    name                = \"aoi-terraform-ai\"\n    resource_group_name = azurerm_resource_group.example.name\n    location            = azurerm_resource_group.example.location\n    sku_name            = \"S0\"\n    kind                = \"OpenAI\"\n}\n\nresource \"azurerm_cognitive_deployment\" \"example\" {\n    name                 = \"gpt4\"\n    cognitive_account_id = azurerm_cognitive_account.example.id\n    model {\n        format  = \"OpenAI\"\n        name    = \"gpt-4\"\n        #version = \"0613\" # you can set a model version or remove for default\n    }\n\n    scale {\n        type = \"Standard\"\n    }\n}<\/code><\/pre>\n\n\n\n
    Applying the Configuration<\/h2>\n\n\n\n
    To apply this Terraform configuration, follow these steps:<\/p>\n\n\n\n
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    1. Initialize Terraform<\/strong>: Run\u00a0terraform init<\/code>\u00a0to initialize your working directory containing the Terraform configuration files. This step is required to download the provider specified in the configuration.\u00a0erraform init<\/code><\/li>\n\n\n\n
    2. Plan the Deployment<\/strong>: Run\u00a0terraform plan<\/code>\u00a0to create an execution plan. This command helps you see the changes that Terraform will make to your infrastructure.\u00a0terraform plan<\/code><\/li>\n\n\n\n
    3. Apply the Configuration<\/strong>: Finally, run\u00a0terraform apply<\/code>\u00a0to create the resources defined in your configuration.\u00a0terraform apply<\/code>\u00a0Confirm the operation by typing\u00a0yes<\/code>\u00a0when prompted.<\/li>\n<\/ol>\n\n\n\n