# Deploying Models

Deploying your model on PropulsionAI enables you to make it available for real-time usage, whether it's for internal tools or customer-facing applications. Follow these steps to deploy your model:

### **1. Navigate to the Deployments Section**

* Go to the **"Deployments"** section in your project dashboard.

### **2. Create a New Deployment**

* Click **"New"** to start setting up a new deployment.

### **3. Configure the Deployment**

In the deployment setup page, you will need to fill out the following details:

* **Base URL**: This is the endpoint where your model will be accessible. You can customize the suffix if needed.
* **Hardware**: Select the hardware that best suits your model’s needs. The options include:

  * **L4**
  * **V100**
  * **T4**
  * **A100**
  * **H100**

  The hardware selection will depend on the size and complexity of your model. Be mindful that different hardware configurations come with varying costs.
* **Model Version**: Choose the model version you want to deploy. This could be a fine-tuned version or a base model if no further customization is needed.
* **Replicas**:

  * **Minimum Replicas**: Set the minimum number of replicas (instances) that should always be running. Start with 0 if you're unsure, as this will save costs when the model isn’t actively in use.
  * **Maximum Replicas**: Set the maximum number of replicas to handle increased load when your model is in high demand.

  *Note: Instances take up to 120 seconds to boot up when a request is received.*
* **Record Conversations**: Toggle this option if you want to record all interactions with your model.
  * **Dataset**: If you're recording conversations, you’ll need to select or create a dataset where these interactions will be stored.\
    \
    :exclamation:Important:  Ensure you have the necessary consents if you plan to record conversations. This is especially critical for production environments, where data privacy laws may apply. Proceed with caution.

### **4. Deploy the Model**

* After configuring the deployment settings, click **"Deploy"** to launch your model.
* After the deployment shows "Running" status, you can quickly try out the model by clicking on the "Try in Playground" button.
* Your model will now be accessible through the provided API endpoint.

### **5. Monitor and Manage Your Deployment**

* Once deployed, monitor your model’s performance and resource usage. Adjust the number of replicas or switch hardware as needed to optimize costs and performance.

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With these steps, you’ve successfully deployed your model on PropulsionAI. Your model is now ready to handle real-time requests, and you can easily scale its deployment based on your specific needs.