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+# **Setting Up Azure Environment for Azure GenAI Cloud Lab**
+****
+##### **Skill Level: Beginner**
+This guide will help you set up your Azure environment to complete the activities in the [GenAI](https://github.com/STRIDES/NIHCloudLabAzure/tree/main/notebooks/GenAI) directory of the NIH Cloud Lab. The purpose of this guide is to walk you through a deployment of the resources needed to carry out these activities.
+### Prerequisites
+*****
+- An active Azure subscription
+- ### Resources and Pricing
+*****
+
+Provided is a list of resources that will be deployed along with the estimated cost breakdown for each resource. Please find the resources that will be deployed below.
+#### Resources deployed
+
+1. ##### **Azure Storage Account**
+ - **Resource Type:** Storage Account (Standard_LRS)
+ - **Purpose:** This resource is used to store and manage files.
+ - **Estimated Cost:** $0.018 per GB / $18.40 per 1000 GB per month
+2. ##### **Azure OpenAI**
+ - **Resource Type:** Cognitive Services (Standard)
+ - **Purpose:** This resource provides access to OpenAI models, including GPT and embeddings for AI processing.
+ - **Models Deployed.**
+ - **Model:** gpt-5.4-nano
+ - **Version:** 2024-07-18
+ - **Cost per 1M Tokens:** $0.15 input / $0.60 output
+ - **Model:** text-embedding-3-small
+ - **Version:** 1
+ - **Cost per 1K Tokens:** $0.00002
+ - **Estimated Cost:** Varies based on model usage and API calls. Please refer to [Azure OpenAI Service Pricing](https://azure.microsoft.com/en-us/pricing/details/azure-openai/?msockid=3df6a53ac4916aa73e41b1e3c5c36bd4) for more details.
+
+Please refer to the [Azure Pricing Calculator](https://azure.microsoft.com/en-us/pricing/calculator/) for a more detailed and personalized estimate based on your specific usage patterns and region.
+#### Get Started
+****
+### Azure OpenAI Setup Steps
+****
+1. Navigate to Azure OpenAI by searching at the top of the page.
+
+
+2. Click **Create** and then select **Azure OpenAI**
+
+
+
+3. In the **Create Azure OpenAI window:**
+ - Select your Azure subscription
+ - Click **Create new** for resource group
+
+
+
+ - Select Region **East US 2**
+ - Enter Name for your Azure OpenAI
+ - Select Pricing tier **Standard S0**
+ - Click **Next**
+4. In the Network window:
+ - Select **All networks, including the internet, can access this resource.**
+ - Click Next.
+5. In **Reviwe+submit** window:
+ - Click **create**
+
+
+
+6. When you see **Your deployment is complete** message:
+ - Select **Go to resource**
+
+
+
+7. In your resource window:
+ - Select **Go to Foundry portal**
+ - Click **Create a project**
+
+
+
+8.In the Create project window:
+ - Give a **Project name**
+ - Select **Region**
+ - Select your **Subscription**
+ - Select **Resource group**
+ - Click **Create**
+
+
+
+9. In the Deployments section:
+ - Select **View Deployments** or **Manage Deployments**
+ - Select **Deploy a base model**
+
+
+
+
+
+10. Search for and deploy a GPT model:
+ - Type a GPT model name in the search bar
+ - Click on the selected model
+ - Select **Deploy**
+
+
+
+
+
+11. Deploy an embedding model:
+ - Type an embedding model name in the search bar
+ - Click on the selected model
+ - Select **Deploy**
+
+Azure infrastructre setup is complete.
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+
+
+
+
+
+ Setting Up Azure Environment for Azure GenAI Cloud Lab
+
+
+
+ Setting Up Azure Environment for Azure GenAI Cloud Lab
+
+
+ Skill Level: Beginner
+
+
+ This guide will help you set up your Azure environment to complete the activities in the GenAI directory of the NIH Cloud Lab.
+
+
+
+ Prerequisites
+
+
+
+ - An active Azure subscription
+
+
+
+ Resources and Pricing
+
+ Provided is a list of resources that will be deployed along with the estimated cost breakdown for each resource. Please find the resources that will be deployed below.
+
+ Resources Deployed
+
+
+
Azure Storage Account
+
Resource Type: Storage Account (Standard_LRS)
+
Purpose: This resource is used to store and manage files.
+
+ Estimated Cost:
+ $0.018 per GB
+ $18.40 per 1000 GB per month
+
+
+
Azure OpenAI
+
Resource Type: Cognitive Services (Standard)
+
Purpose: This resource provides access to OpenAI models, including GPT and embeddings for AI processing.
+
+
Models Deployed:
+
+
+
Model: gpt-5.4-nano
+
Version: 2024-07-18
+
Cost per 1M Tokens: $0.15 input / $0.60 output
+
+
+
+
Model: text-embedding-3-small
+
Version: 1
+
Cost per 1K Tokens: $0.00002
+
+
+
+
+
💡 Tip: Please refer to the
Azure Pricing Calculator for a more detailed and personalized estimate based on your specific usage patterns and region.
+
+
+ Get Started
+
+ Azure OpenAI Setup
+
+
+
Step 1: Navigate to Azure OpenAI
+
Navigate to Azure OpenAI. The easiest way is to search at the top of the page.
+
🖼️ Screenshot: AZ_OpenAI_setup_1.jpg
+
+
Step 2: Create Azure OpenAI Resource
+
Click Create and then select Azure OpenAI
+
🖼️ Screenshot: AZ_OpenAI_setup_2.jpg
+
+
Step 3: Configure Resource Group
+
In the Create Azure OpenAI window, you should be able to see your Azure Subscription and click Create new for resource group.
+
🖼️ Screenshot: AZ_OpenAI_setup_3.jpg
+
+
Step 4: Set Region and Pricing Tier
+
Select:
+
+ - Region: East US 2
+ - Name: Create a name for your Azure OpenAI
+ - Pricing tier: Standard S0
+
+
Click Next
+
🖼️ Screenshot: AZ_OpenAI_setup_4.jpg
+
+
Step 5: Configure Network Settings
+
In the Network window, select:
+
+ - All networks, including the internet, can access this resource.
+
+
Click Next
+
+
Step 6: Review and Create
+
In the Review + Submit window, click Create
+
+
Step 7: Access Your Resource
+
There should be a message that Your deployment is complete. Then select Go to resource
+
🖼️ Screenshot: AZ_OpenAI_setup_5.jpg
+
+
Step 8: Go to Foundry Portal
+
In your resource window, select Go to Foundry portal then click Create a project
+
🖼️ Screenshot: AZ_OpenAI_setup_6.jpg
+
+
Step 9: Create a Project
+
Give a Project name, select Region, confirm your Subscription, select Resource group, and click Create
+
🖼️ Screenshot: AZ_OpenAI_setup_7.jpg
+
+
Step 10: Deploy a Base Model
+
Select View Deployments or Manage Deployments. Then select Deploy a base model
+
🖼️ Screenshots: AZ_OpenAI_setup_8.jpg, AZ_OpenAI_setup_9.jpg
+
+
Step 11: Deploy GPT Model
+
In the search bar, type a GPT model that you would like to deploy. Click on the selected model and then select Deploy
+
🖼️ Screenshots: AZ_OpenAI_setup_10.jpg, AZ_OpenAI_setup_11.jpg
+
+
Step 12: Deploy Embedding Model
+
In a similar way, in the search bar type an embedding model that you would like to deploy. Click on the selected model and then select Deploy
+
+ ✅ Azure Infrastructure Setup is Complete!
+
+
+
+
+
+
+
+
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