# nvidia_gpu_exporter

**Repository Path**: py-service/nvidia_gpu_exporter

## Basic Information

- **Project Name**: nvidia_gpu_exporter
- **Description**: https://github.com/utkuozdemir/nvidia_gpu_exporter
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-08-14
- **Last Updated**: 2025-08-14

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# nvidia_gpu_exporter

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Nvidia GPU exporter for prometheus, using `nvidia-smi` binary to gather metrics.

---

> [!WARNING]
> **Maintenance Status:** I get that it can be frustrating not to hear back about the stuff you've brought up or the changes you've suggested. But honestly, for over a year now, I've hardly had any time to keep up with my personal open-source projects, including this one. I am still committed to keep this tool working and slowly move it forward, but please bear with me if I can't tackle your fixes or check out your code for a while. Thanks for your understanding.

---

## Introduction

There are many Nvidia GPU exporters out there however they have problems such as not being maintained,
not providing pre-built binaries, having a dependency to Linux and/or Docker,
targeting enterprise setups (DCGM) and so on.

This is a simple exporter that uses `nvidia-smi(.exe)` binary to collect, parse and export metrics.
This makes it possible to run it on Windows and get GPU metrics while gaming - no Docker or Linux required.

This project is based on [a0s/nvidia-smi-exporter](https://github.com/a0s/nvidia-smi-exporter).
However, this one is written in Go to produce a single, static binary.

**If you are a gamer who's into monitoring, you are in for a treat.**

## Highlights

- Will work on any system that has `nvidia-smi(.exe)?` binary - Windows, Linux, MacOS... No C bindings required
- Doesn't even need to run the monitored machine: can be configured to execute `nvidia-smi` command remotely
- No need for a Docker or Kubernetes environment
- Auto-discovery of the metric fields `nvidia-smi` can expose (future-compatible)
- Comes with its own [Grafana dashboard](https://grafana.com/grafana/dashboards/14574)

## Visualization

You can use the official [Grafana dashboard](https://grafana.com/grafana/dashboards/14574)
to see your GPU metrics in a nicely visualized way.

Here's how it looks like:
![Grafana dashboard](https://raw.githubusercontent.com/utkuozdemir/nvidia_gpu_exporter/master/grafana/dashboard.png)

## Installation

See [INSTALL.md](INSTALL.md) for details.

## Configuration

See [CONFIGURE.md](CONFIGURE.md) for details.

## Metrics

See [METRICS.md](METRICS.md) for details.

## Contributing

See [CONTRIBUTING.md](CONTRIBUTING.md) for details.

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