Deploy base model

After creating a project, deploy a base model to start building your AI solution. Azure AI Foundry supports multiple pre-trained models such as GPT-4o that you can customize and integrate with other applications.

A deployed base model provides an endpoint and key that enable external systems, such as PLM, to communicate with Azure AI Foundry for real-time data analysis.

Steps

1. From the left menu, select Models + endpoints under My assets. You will go to the Model deployments page.
   

2. Click + Deploy model, and then select Deploy base model. A Select a model window opens.

   

3. In the Select a model window, choose a model from the list.

   Note

   The GPT-4o model is recommended for better accuracy.

   

4. Click Confirm. The model page opens and displays the Endpoint section, which contains the Target URL and Authentication Key.

   

5. Copy the Target URL and Key for integration.