Model Service¶

Overview¶

Model Service on TurboAI Cloud allows users to deploy machine learning models as API services. This service enables easy deployment, API access, auto-scaling, and monitoring of model performance.

Deploying a Model¶

Step 1: Access Model Service¶

Log in to the TurboAI Cloud platform and navigate to the Model Service section.

Step 2: Create a New Model Service¶

Click on the "New Model Service" button to start the deployment process.

Step 3: Configure Model Service¶

• Name: Enter a name for your model service.
• Model: Choose between an official or private model. Select the model from the dropdown menu.
• Workers: Specify the number of workers needed for your service.
• Resources: Select the appropriate resources for your model service, including CPU, memory, and GPU options.

Step 4: Confirm Deployment¶

Review your selections and click "Confirm" to deploy the model service.

Managing Model Services¶

Viewing Model Services¶

You can view all your deployed model services in the Model Services list. Here you can see the service status, resource usage, and creation time.

Deleting a Model Service¶

To delete a model service, click the "Delete" button next to the service you wish to remove.

Updating a Model Service¶

If you need to update the configuration of a model service, click the "Detail" button to access the service settings and make necessary changes.

Step 5: Model Operations¶

Once the model is deployed, you can perform operations such as viewing API documentation, model fine-tuning, model evaluation, and online experience.

Next Steps¶

After deploying your model service, you may want to explore Training Services to further develop and train your models, enhancing their performance and capabilities.

We wish you a successful experience with Model Service on TurboAI Cloud!