Dedicated Endpoint

Dedicated Endpoints provide a customizable environment for deploying AI models tailored to specific requirements.

Console flow

URL: https://console.gmicloud.ai/user-console/ie/deployments The Deployments page is where you provision and manage dedicated endpoints.

Create Deployment (top-right): launches the wizard for selecting a model, region, GPU type, and scaling.
Once running, the page lists each endpoint with its status, model, region, replica count, and per-deployment actions.

Empty state:

You haven’t deployed any models yet Deploy an open source model from the Model Library.

Featured shortcut cards offer one-click starts for popular models like Gemini 3.5 Flash, MiMo-V2.5-Pro, GPT-5.5, and DeepSeek-V4-Pro. The Explore more link jumps to the full model catalog. For per-model API docs, see the Text catalog.

Create your Dedicated Inference Endpoint

Deploy a dedicated inference model

Select a model from the list. Click the “Dedicated” button to start deployment:

Alternatively, you can also click on the model card and then click the “Deploy” button on the top right:

Review Configurations

Confirm your GPU type, deployment name, auto-scaling policy, and other system configurations:

Then click “Deploy”.

View Deployment Status

To view your deployment status click the “Deployment” tab on the top right.

Status	Description
Queued	The deployment task has been added to the queue. It will start once all higher-priority tasks have been processed.
Deploying	The system is allocating hardware resources and initializing the model endpoint.
Running	Deployment is complete, and the endpoint is active and ready for production use.
Stopped	The deployment has been manually stopped by the user. It can be restarted at any time.
Archived	The deployment has been terminated permanently. It cannot be restarted, but historical records are retained for reference.

You will only be billed for the period of time in “Running” status.

Invoke API Endpoint

Once deployment is in “Running” status, click the ”<>” symol to access endpoint URL:

You can then use this URL to send API requests. An example is provided. Remember to replace “API_KEY” with your real API key.

Getting Started

API Reference

Marketplace

Console

Resources

Billing

Console Release Notes

Console flow