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

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. 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.

• 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

You can use the official Grafana dashboard to see your GPU metrics in a nicely visualized way.

Here's how it looks like:

Requirements:

• Scoop package manager
• NSSM (get the latest pre-release version)

Installation steps:

1. Open a privileged powershell prompt (right click - Run as administrator)
2. Run the following commands:

scoop bucket add nvidia_gpu_exporter https://github.com/utkuozdemir/scoop_nvidia_gpu_exporter.git
scoop install nvidia_gpu_exporter/nvidia_gpu_exporter --global
New-NetFirewallRule -DisplayName "Nvidia GPU Exporter" -Direction Inbound -Action Allow -Protocol TCP -LocalPort 9835
nssm install nvidia_gpu_exporter nvidia_gpu_exporter "C:\ProgramData\scoop\apps\nvidia_gpu_exporter\current\nvidia_gpu_exporter.exe"
Start-Service nvidia_gpu_exporter

1. Go to the releases and download the latest release archive for your platform.
2. Extract the archive.
3. Move the binary to somewhere in your PATH.

Sample steps for Linux 64-bit:

$ VERSION=0.1.2
$ wget https://github.com/utkuozdemir/nvidia_gpu_exporter/releases/download/v${VERSION}/nvidia_gpu_exporter_${VERSION}_linux_x86_64.tar.gz
$ tar -xvzf nvidia_gpu_exporter_${VERSION}_linux_x86_64.tar.gz
$ mv nvidia_gpu_exporter /usr/local/bin
$ nvidia_gpu_exporter --help

The usage of the binary is the following:

usage: nvidia_gpu_exporter [<flags>]

Flags:
  -h, --help                Show context-sensitive help (also try --help-long and --help-man).
      --web.config.file=""  [EXPERIMENTAL] Path to configuration file that can enable TLS or authentication.
      --web.listen-address=":9835"
                            Address to listen on for web interface and telemetry.
      --web.telemetry-path="/metrics"
                            Path under which to expose metrics.
      --nvidia-smi-command="nvidia-smi"
                            Path or command to be used for the nvidia-smi executable
      --query-field-names="AUTO"
                            Comma-separated list of the query fields. You can find out possible fields by running `nvidia-smi --help-query-gpus`. The value `AUTO` will
                            automatically detect the fields to query.
      --log.level=info      Only log messages with the given severity or above. One of: [debug, info, warn, error]
      --log.format=logfmt   Output format of log messages. One of: [logfmt, json]
      --version             Show application version.

The exporter can be configured to scrape metrics from a remote machine.

An example use case is running the exporter in a Raspberry Pi in your home network while scraping the metrics from your PC over SSH.

The exporter supports arbitrary commands with arguments to produce nvidia-smi-like output. Therefore, configuration is pretty straightforward.

Simply override the --nvidia-smi-command command-line argument (replace SSH_USER and SSH_HOST with SSH credentials):

nvidia_gpu_exporter --nvidia-smi-command "ssh -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null SSH_USER@SSH_HOST nvidia-smi"

See CONTRIBUTING for details.