{"id":430,"date":"2024-07-25T10:31:17","date_gmt":"2024-07-25T00:31:17","guid":{"rendered":"https:\/\/www.cloudproinc.com.au\/?p=430"},"modified":"2025-01-22T16:43:12","modified_gmt":"2025-01-22T06:43:12","slug":"deploy-azure-openai-gpt-4o-resource-and-model-using-bicep","status":"publish","type":"post","link":"https:\/\/cloudproinc.com.au\/index.php\/2024\/07\/25\/deploy-azure-openai-gpt-4o-resource-and-model-using-bicep\/","title":{"rendered":"Deploy Azure OpenAI GPT-4o Resource and Model using Bicep"},"content":{"rendered":"\n<p>This Microsoft Azure OpenAI article will show how to deploy Azure OpenAI GPT-4o Resource and Model using Bice.<\/p>\n\n\n\n<!--more-->\n\n\n\n<p>Azure OpenAI is a Microsoft implementation of the popular OpenAI service and AI models. Using Azure OpenAI, companies can use OpenAI&#8217;s LLMs with Azure infrastructure, tools, and security and compliance services. It also offers seamless integration with other Azure services.<\/p>\n\n\n\n<p>GPT-4o is OpenAI&#8217;s latest AI Model. It offers an integrated AI model with audio, text, and visual capabilities using a single API service. <\/p>\n\n\n\n<p>At CPI, we help companies deploy, develop, and manage AI applications. One of our tasks is deploying AI Services like <a href=\"https:\/\/www.cloudproinc.com.au\/index.php\/2024\/07\/22\/extract-text-from-images-using-azure-ai-vision\/\">Vision<\/a> and GPT-4o. Since we are a Microsoft partner, our preferred infrastructure deployment method is Bicep. Bicep offers many advantages over Terraform, including access to the latest Azure API version. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-install-bicep\">Install Bicep<\/h2>\n\n\n\n<p>Before using Bicep, we need to install the tool. If you are using Azure CLI, the tool is already included with the latest Azure CLI version. If you prefer Azure PowerShell, use the following command (on Windows) to install Bicep.<\/p>\n\n\n\n<pre class=\"wp-block-code has-white-color has-black-background-color has-text-color has-background has-link-color wp-elements-c6b97bddd54b4590f038f4e834222761\"><code>winget install -e --id Microsoft.Bicep<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-connect-to-azure\">Connect to Azure <\/h2>\n\n\n\n<p>After installing Bicep, connect to Microsoft Azure using the following Azure PowerShell cmdlet.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>Connect-AzAccount -UseDeviceAuthentication<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-create-resource-group\">Create Resource Group<\/h2>\n\n\n\n<p>Since the scope of our deployment is at the Resource Group level, we need to create a resource group using the following cmdlet.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>New-AzResourceGroup -Name CPIOpenAI -Location eastus<\/code><\/pre>\n\n\n<p>[convertkit form=7595282]<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-create-bicep-template\">Create Bicep Template<\/h2>\n\n\n\n<p>The following Bicep template (main.bicep) will deploy an AI resource and a model. The model will be the latest GPT-4o model (2024-05-13).<\/p>\n\n\n\n<pre class=\"wp-block-code has-white-color has-black-background-color has-text-color has-background has-link-color wp-elements-921aa2b4be0269657326515c9894fa1c\"><code>resource openai 'Microsoft.CognitiveServices\/accounts@2023-05-01' = {\n  name: 'CPIOpenAI'\n  location: 'eastus'\n \n  sku: {\n    name: 'S0'\n  }\n  kind: 'OpenAI'\n  properties: {\n   \n  }\n \n}\n\nresource openaideployment 'Microsoft.CognitiveServices\/accounts\/deployments@2023-05-01' = {\n  name: 'gpt'\n  sku: {\n    name: 'Standard'\n    capacity: 1\n  }\n  parent: openai\n  properties: {\n    model: {\n      name: 'gpt-4o'\n      format: 'OpenAI'\n      version: '2024-05-13'\n      \n    }\n    raiPolicyName: 'Microsoft.Default'\n    versionUpgradeOption: 'OnceCurrentVersionExpired'\n \n  }\n}\n\n\n<\/code><\/pre>\n\n\n\n<p>Save the template.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-deploy-azure-openai-gpt-4o-resource-and-model-using-bicep\">Deploy Azure OpenAI GPT-4o Resource and Model using Bicep <\/h2>\n\n\n\n<p>To deploy the model, run the following Azure PowerShell cmdlet. In the cmdlet, change the resource group name to your resource group&#8217;s name.<\/p>\n\n\n\n<pre class=\"wp-block-code has-white-color has-black-background-color has-text-color has-background has-link-color wp-elements-c6524e336046968915ae856a1069a237\"><code>New-AzResourceGroupDeployment -ResourceGroupName \"CPIOpenAI\" -TemplateFile .\\main.bicep<\/code><\/pre>\n\n\n\n<p>Once the deployment is completed, you can use the Azure OpenAI studio portal to review the deployed model under the deployment section.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1014\" height=\"166\" data-src=\"\/wp-content\/uploads\/2024\/07\/image-26.png\" alt=\"\" class=\"wp-image-431 lazyload\" data-srcset=\"\/wp-content\/uploads\/2024\/07\/image-26.png 1014w, \/wp-content\/uploads\/2024\/07\/image-26-300x49.png 300w, \/wp-content\/uploads\/2024\/07\/image-26-768x126.png 768w, \/wp-content\/uploads\/2024\/07\/image-26-980x160.png 980w, \/wp-content\/uploads\/2024\/07\/image-26-480x79.png 480w\" data-sizes=\"(max-width: 1014px) 100vw, 1014px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1014px; --smush-placeholder-aspect-ratio: 1014\/166;\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-more-ai-articles\">More AI Articles<\/h2>\n\n\n\n<ul class=\"wp-block-yoast-seo-related-links yoast-seo-related-links\">\n<li><a href=\"https:\/\/www.cloudproinc.com.au\/index.php\/2024\/07\/21\/retrieving-azure-ai-services-keys-and-endpoints-using-bicep\/\">Retrieving Azure AI Services Keys and Endpoints Using Bicep<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.cloudproinc.com.au\/index.php\/2024\/03\/28\/creating-a-dynamic-device-group-for-microsoft-intune\/\">Creating a Dynamic Device Group for Microsoft Intune<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.cloudproinc.com.au\/index.php\/2024\/07\/22\/generate-an-image-caption-with-azure-ai-vision-and-net\/\">Generate an Image Caption With Azure AI Vision and .NET<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.cloudproinc.com.au\/index.php\/2024\/03\/28\/streamlining-google-chrome-updates-in-your-organization-with-intune\/\">Streamlining Google Chrome Updates in Your Organization with Intune<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.cloudproinc.com.au\/index.php\/2024\/07\/21\/integrating-azure-ai-vision-for-image-analysis-in-c-applications\/\">Integrating Azure AI Vision for Image Analysis in C# Applications<\/a><\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This Microsoft Azure OpenAI article will show how to deploy Azure OpenAI GPT-4o Resource and Model using Bice.<\/p>\n","protected":false},"author":1,"featured_media":433,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_focuskw":"Deploy Azure OpenAI GPT-4o Resource and Model using Bicep","_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"Learn how to deploy Azure OpenAI GPT-4o Resource and Model using Bicep. 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