# Deployment

### Overview

The deployed models page in LLM Labs provides a centralized place to manage all deployed model APIs efficiently. It serves as a hub where users can oversee their deployed models, track their status, and perform necessary maintenance operations. By offering a user-friendly interface, this feature streamlines the deployment workflow, making it simple to monitor and manage models at scale.

### Get started

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To deploy a model, you will need to create a Sandbox first. [Learn more about Sandbox](https://docs.datasaur.ai/llm-projects/sandbox).
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1. After creating and configuring your model on the Sandbox page, click the **Deploy** button.

   <figure><img src="https://448889121-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MbjY0HseEqu7LtYAt4d%2Fuploads%2Fgit-blob-fba2ddc3adb5a01617b1733a09041cf81ee2e0f2%2FSandbox%20-%20Highlight%20deploy.png?alt=media" alt=""><figcaption></figcaption></figure>
2. A dialog box will appear, allowing you to review and name your model before deployment. Once you have reviewed the details and are ready to proceed, click the **Deploy model** button.

   <figure><img src="https://448889121-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MbjY0HseEqu7LtYAt4d%2Fuploads%2Fgit-blob-daaca78bce032263ef067a7541d78011e4c112a3%2FSandbox%20-%20Deploy%20dialog.png?alt=media" alt=""><figcaption></figcaption></figure>
3. Once you’ve deployed the model, you will be redirected to the deployment details page. Here you can:

   1. **Create API Key**: Generate an API key for use when calling the API endpoint.
   2. **Suspend**: Temporarily pause the API endpoint. Systems using these suspended endpoints may not function until it is resumed.
   3. **Delete**: Delete the deployment. Deleting a deployment permanently removes its configurations and active endpoints. Any systems using these endpoints will stop functioning properly.
   4. **Use in Sandbox**: Choose the sandbox environment where you want to create a copy of the deployed model for iteration. After making changes, you can redeploy it to the same deployment.
   5. Review the statistics of the deployment.

   <figure><img src="https://448889121-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MbjY0HseEqu7LtYAt4d%2Fuploads%2Fgit-blob-585d195701c6a1379922d2d06e8d6ae65308ab76%2FDeployed%20application%20page.png?alt=media" alt=""><figcaption></figcaption></figure>
4. You can also manage your list of previously created deployments on the **Deployed models** page.

   <figure><img src="https://448889121-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MbjY0HseEqu7LtYAt4d%2Fuploads%2Fgit-blob-b76e3f42091a91f843d99c8ec619b91601cc298e%2FDeployed%20applications%20-%20main%20page.png?alt=media" alt=""><figcaption></figcaption></figure>

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To learn more about how to use our Deployment API, please refer to this [Deployment API](https://docs.datasaur.ai/llm-projects/deployment/deployment-api) page.
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