# Create a Dedicated Deployment {% hint style="warning" %} Dedicated Deployments are not available on Public (free) tier. {% endhint %} ### Create a Deployment in the Web Interface Open your workspace dashboard page, click **Deployments** on the left panel:
Click the **New Deployment** button, it brings up the **Create a Dedicated Deployment** dialog as shown below:

Configure properties for your dedicated deployment.

Each of the properties in the dialog are described in the table below. Fill the dialog and click on the **Create Dedicated Deployment** button. It may take anywhere from a few seconds to a few minutes to provision your deployment.
PropertyDescription
Name

Choose a unique name (5-15 characters) to identify your Dedicated Deployment. This name will also become the subdomain for your deployment endpoint (e.g., dev-testing.roboflow.cloud).

  • Easy to Remember: Pick a name that clearly reflects your deployment's purpose (e.g., "prod-inference", "dev-testing").
  • Unique within Workspace: If your chosen name is already taken, a short random code will be added to create a unique subdomain.

Tips:

  • Use lowercase letters, numbers, and hyphens (-) for your name.
  • Avoid special characters or spaces.
Machine TypeWhether a CPU-only or a GPU dedicated deployment is needed.
Deployment Type

Development: ideal for development or experimental purpose, automatically expires in 3 hours.

Production: ideal for serving production requests, permanent until manually deleted.

AutoscalingThis feature is only for prod-cpu and prod-gpu.
### Create a Dedicated Deployment with the CLI The `roboflow deployment` command provides a set of subcommands to manage your Roboflow Dedicated Deployments. Before you proceed, please ensure you have the `roboflow` CLI installed and configured with your API key, as documented [here.](https://docs.roboflow.com/roboflow-cli/roboflow-cli-documentation) #### **Subcommands** * **`machine_type`**: List available machine types for your Dedicated Deployments. Currently, we support `dev-cpu, dev-gpu, prod-cpu, prod-gpu`. * **`add`**: Create a new Dedicated Deployment. * **`get`**: Get detailed information about a specific Dedicated Deployment. * **`list`**: List all Dedicated Deployments in your workspace. * **`usage_workspace`**: Get usage statistics for all Dedicated Deployments in your workspace. * **`usage_deployment`**: Get usage statistics for a specific Dedicated Deployment. * **`delete`**: Delete a Dedicated Deployment. * **`log`**: View logs for a specific Dedicated Deployment. #### **Subcommand Examples** * **Create a new deployment** ``` roboflow deployment add my-deployment -m prod-gpu -e YOUR_EMAIL@aaa.com ``` * **Get deployment information** ``` roboflow deployment get my-deployment ``` * **List all deployments** ``` roboflow deployment list ``` Use code with caution. * **Get workspace usage** ``` roboflow deployment usage_workspace ``` * **Get deployment usage** ``` roboflow deployment usage_deployment my-deployment ``` * **Delete a deployment** ``` roboflow deployment delete my-deployment ``` * **View deployment logs** ``` roboflow deployment log my-deployment -t 60 -n 20 ``` #### **Additional Notes** * For more detailed information and options for each subcommand, use the `--help` flag. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.roboflow.com/deploy/dedicated-deployments/create-a-dedicated-deployment.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.