Managing Instances
The Instances dashboard gives you a real-time overview of all your GPU instances and tools to manage them.Dashboard View
The instances list shows the following for each instance:| Column | Description |
|---|---|
| Name | Instance name (auto-generated or custom). |
| Status | Current lifecycle state (creating, deployed, stopped, terminated, etc.). |
| GPU | GPU type and count (e.g., 1x RTX 4090). |
| Network | Upload and download speed. |
| Hourly Rate | Cost per hour for this instance. |
| Created | Date and time the instance was deployed. |
Instance Detail Page
Click on any instance to view its full details:- Specs — GPU model, GPU count, CPU cores, RAM, and disk size.
- Network — Public IP address, SSH port, and bandwidth.
- Region — The region where the instance is running.
- SSH Details — Connection command ready to copy.
- Mounted Storage — Any attached storage volumes.
- Cost — Hourly rate and total spend for this instance.
Monitoring
After connecting via SSH, use these commands to monitor your instance:GPU Usage
CPU and Memory
Disk Usage
Terminating an Instance
Steps to Terminate
- Go to Dashboard > Instances.
- Click on the instance you want to terminate.
- Click the Terminate button.
- Confirm the termination in the dialog.
terminated state.
Best Practices
Use Storage Volumes
Attach persistent storage to keep datasets and model weights safe across instance lifecycles.
Enable Auto-Recharge
Prevent unexpected instance termination by enabling auto-recharge in your Billing settings.
Monitor Costs
Check the Billing page regularly to track your spend and set up usage alerts.
Save Work Before Terminating
Always download important files or push to a remote repository before terminating an instance.