> For the complete documentation index, see [llms.txt](https://docs.augelab.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.augelab.com/function-blocks/blocks-reference/input-output/outputs-exports/gpu-statistics.md).

# GPU Statistics

This function block provides a quick visual overview of the GPU currently available on the machine. It shows driver version, memory usage, temperature and usage values in a compact textual form inside the block UI.

## 📥 Inputs <a href="#inputs" id="inputs"></a>

`No input sockets`

## 📤 Outputs <a href="#outputs" id="outputs"></a>

`No output sockets`

## 🕹️ Controls <a href="#controls" id="controls"></a>

`GPU Info` A read-only text area that displays the current GPU information (name, driver, memory free/used/total, RAM utilization, temperature and usage).

## 🎨 Features <a href="#features" id="features"></a>

* Real-time textual summary of GPU state shown inside the block UI.
* Helpful for quick health checks when running compute-heavy workflows.
* Simple, distraction-free presentation suitable for monitoring while the scenario runs.

## 📝 Usage Instructions <a href="#usage" id="usage"></a>

1. Place the block into your scenario canvas.
2. Run the scenario — the block will update the `GPU Info` text with the latest GPU status.
3. Inspect the block regularly to check temperature, memory usage and overall GPU load.

## 📊 Evaluation <a href="#evaluation" id="evaluation"></a>

On each evaluation step the block refreshes the displayed GPU information so you always see the latest status in the block UI.

## 💡 Tips and Tricks <a href="#tips-and-tricks" id="tips-and-tricks"></a>

* To keep a historical log of GPU status, use `CSV Export` to save readings periodically (combine with a timer or logger flow).
* If you want visual trends, route numeric values into `Scope` (use intermediary blocks that extract numeric values from the textual summary if needed).
* Create simple alarms: combine `Number Input` to set thresholds and `Greater` to compare a numeric reading (temperature or usage) and trigger `Send Mail` or `Stop` to alert or halt a scenario when limits are exceeded.
* Use alongside `GPU Statistics` as a monitoring companion when running heavy workloads such as model inference (for example when using `Object Detection (D-FINE)` or `Depth Estimation (DepthAny. V2)`), to watch resource usage and avoid out-of-memory issues.

## 🛠️ Troubleshooting <a href="#troubleshooting" id="troubleshooting"></a>

* If the block shows placeholders (e.g., "-") verify that a GPU is installed and drivers are available on the system.
* If reported values look inconsistent, double-check your system GPU drivers and restart the application to refresh hardware queries.