how to create a compute instance

Author: brown9804

README.md

@@ -209,7 +209,6 @@ Read more about [Endpoints for inference in production](https://learn.microsoft.
 
 ## Manage
 
-
 <details>
   <summary><strong>Compute</strong></summary>
 
@@ -229,6 +228,17 @@ Read more about [Endpoints for inference in production](https://learn.microsoft.
 | **Attached Compute** | External compute resources manually connected to Azure ML. | Leverage existing infrastructure. | Using Azure VMs, Databricks, or on-prem compute. | Flexibility, hybrid cloud support, reuse of existing resources. |
 | **Serverless Instances** | Lightweight, on-demand compute (e.g., Azure Container Instances). | Quick testing and low-scale inference. | Temporary model deployment, dev/test environments. | No infrastructure management, fast startup, cost-effective. |
 
+> How to create a Compute Instance: 
+ 
+1. **Go to Azure Machine Learning Studio**: Navigate to [ml.azure.com](https://ml.azure.com/) and select your workspace.
+2. **Select `Compute` from the left menu**  Choose the **`Compute instances`** tab.
+3. **Click `New`**  
+   - Enter a name for your compute instance.
+   - Choose a virtual machine size (e.g., `Standard_DS3_v2`).
+   - Optionally, enable SSH access or assign a user.
+4. **Click `Create`**: Azure will provision the compute instance, which may take a few minutes.
+
+    https://github.com/user-attachments/assets/bd5f3ce6-7082-4741-8827-8b344cd249a4
 
 </details>