On the Pods page, click the Pod you just created to open the Pod detail pane. The pane opens onto the Connect tab, where you’ll find options for connecting to your Pod so you can execute code on your GPU (after it’s done initializing).Take a minute to explore the other tabs:
Details: This lists details about your Pod, such as hardware specs, pricing, and storage.
Telemetry: Realtime utilization data for your Pod’s CPU, memory, and storage.
Logs: Logs streamed from your container (including stdout from any applications inside) and the Pod management system.
Template Readme: Details about the template your Pod is running. Your Pod is configured with the latest official Runpod PyTorch template.
To avoid incurring unnecessary charges, follow these steps to clean up your Pod resources:
Return to the Pods page and click your running Pod.
Click the Stop button (pause icon) to stop your Pod.
Click Stop Pod in the modal that opens to confirm.
You’ll still be charged a small amount for storage on stopped Pods ($0.20 per GB per month). If you don’t need to retain any data on your Pod, you should terminate it completely.To terminate your Pod:
Click the Terminate button (trash icon).
Click Terminate Pod to confirm.
Terminating a Pod permanently deletes all data that isn’t stored in a network volume. Be sure that you’ve saved any data you might need to access again.To learn more about how storage works, see the Pod storage overview.