Create a Dedicated Deployment

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

Create a Deployment in the Web Interface

Open your workspace dashboard page, click Deployments on the left panel:

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

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

• 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 [email protected]

• 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.