Create a Dedicated Deployment

You can create a Dedicated Deployment in the Roboflow web interface, or in the CLI.

Dedicated Deployments are not available on Public (free) tier.

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.

Property	Description
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 Type	Whether 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.
Autoscaling	This 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.

Subcommands

Subcommand	Description	Example
`machine_type`	List available machine types (`dev-cpu`, `dev-gpu`, `prod-cpu`, `prod-gpu`)	`roboflow deployment machine_type`
`add`	Create a new deployment	`roboflow deployment add my-deployment -m prod-gpu -e you@example.com`
`get`	Get details about one deployment	`roboflow deployment get my-deployment`
`list`	List all deployments in your workspace	`roboflow deployment list`
`usage_workspace`	Usage statistics for every deployment in the workspace	`roboflow deployment usage_workspace`
`usage_deployment`	Usage statistics for one deployment	`roboflow deployment usage_deployment my-deployment`
`delete`	Delete a deployment	`roboflow deployment delete my-deployment`
`log`	View logs for a deployment	`roboflow deployment log my-deployment -t 60 -n 20`

Add --help to any subcommand for its full set of options.