Compute Hub
Last updated
Last updated
The Compute Hub provides a user-friendly interface to manage compute instances for AI workloads. Users can view, create, and manage instances, as well as deploy models with ease.
Displays all running, stopped, or terminated instances.
Running: Green.
Stopped: Red.
Each instance card shows:
Instance Name
Compute Provider
Model used for Endpoint
Machine type
Price/Token
View Details: Click the eye icon to access detailed information.
Start/Stop: Toggle an instance's operational state.
Delete: Permanently remove an instance.
Click the Create Endpoint button to configure a new instance that provides a general use model endpoint.
Workflow
Navigation: Use the search bar or filters (status, provider, model) to locate specific instances quickly.
Quick Actions: Start, stop, or delete instances directly from the instance list.
When an instance is selected, the user is directed to a detailed page with the following tabs:
Instance Name
Compute Provider
Model used for Endpoint
Machine type
Price/Token
Edit Instance: Modify instance parameters.
Stop Instance: Shut down the instance.
Delete Instance: Remove the instance permanently.
CPU Usage: Current usage in percentage.
Memory Usage: Real-time memory utilization.
GPU Usage: GPU processing load percentage.
Timestamped logs of instance activity (e.g., initialization, model loading, errors).
Enables debugging and instance health monitoring.
Lists all models deployed on the instance.
Model name.
Deployment date.
Model status (e.g., running or stopped).
View model details or stop/start specific models.
Steps
Initiate: click the New Endpoint button on the Compute Hub home page.
Configuration
Fill out the form with the following details:
Select Provider: Select Provider from list (Lepton, Predibase, Sagemaker, Bedrock, OpenAI)
Select Model: Opens a popup and allows users to select from available models on platform. Search and press “Select” when you have chosen a model.
Name: Assign a unique name to the instance.
Review and Create:
Review the configuration.
Click Create Instance to launch the instance.
1. Viewing Instance Metrics
Navigate to the Compute Hub home page.
Select an instance and click the Metrics Tab to monitor performance.
2. Deploying a Model
From the Deployed Models Tab, click Deploy Model.
Follow the prompts to configure the deployment.
3. Deleting an Instance
Locate the instance in the Compute Hub.
Click the trash icon to delete it.
Confirm the deletion in the pop-up dialog.
Regularly monitor metrics to optimize instance usage.
Use the Logs Tab for quick troubleshooting.
Organize instances with meaningful names for easier navigation.
Always confirm configurations during instance creation to avoid unnecessary costs.