> ## Documentation Index
> Fetch the complete documentation index at: https://docs.gpuoutlet.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Managing instances

> Listing, filtering, stopping, restarting, and reading metering data for your pods.

## The Instances page

[gpuoutlet.ai/app/rentals](https://gpuoutlet.ai/app/rentals) is your control
panel for every pod, current and historical.

Three KPI cards at the top:

* **Active instances** — currently Running
* **Hourly burn** — combined hourly rate of every Running pod
* **Session spend** — total cents charged across this billing session

Below: a list of pod cards filterable by status (All / Running / In progress
/ Stopped / Failed).

<h2 id="stopping">
  Stopping
</h2>

Click any pod card → **Stop** button in the bottom-right.

Stop is:

* **Immediate** — terminate signal sent within 100ms
* **Permanent** — the pod is destroyed, its disk wiped
* **Settled** — your wallet is debited for the exact seconds consumed,
  rounded to nearest second

There is no "pause" — pause-the-machine isn't a meaningful concept for GPU
rentals (the GPU is the expensive resource, not the disk). If you need to
"pause" your work, save state to S3 / HuggingFace, stop the pod, and
relaunch a new one later.

## Restarting / relaunching

A stopped pod can't be restarted. To pick up where you left off:

1. Push your work to persistent storage before stopping
2. Launch a fresh pod
3. Pull your work back down

This sounds inconvenient but it's actually a feature — every pod starts
clean, so there's no "my Python env is broken from last week" problem.

## Reading the metering data

Each pod card shows:

* **Rate** — \$X.XX/hr
* **GPUs** — e.g. `1× RTX 4090`
* **Ran for** — total runtime
* **Total** — total charged

## Filtering instance history

The status filter chips above the grid let you scope. Common queries:

* **Stopped** — see your last week's runs and how much each cost
* **Failed** — see anything that didn't provision; click in for the
  error detail + auto-refund line

## Auto-stop on launch (coming)

The Create flow will soon expose **Auto-stop after N hours** so you can
guarantee a runaway script can't burn through your wallet overnight. For
now, set your wallet balance to the budget you're comfortable with — every
pod stops automatically when the wallet hits \$0.