utkuozdemir/nvidia_gpu_exporter

Health v2 · maintenance only

Adoption not part of the score

1569 stars · 158 forks observed · 2026-10-21

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Prometheus exporter written in Go that collects NVIDIA GPU metrics by invoking the nvidia-smi binary or reading directly from the NVML driver library. It works on Windows, Linux, and macOS without C bindings and can even run remotely from the monitored machine.

Use cases

• monitor nvidia gpu utilization memory power and temperature in prometheus
• export gpu metrics from windows machines without docker or linux
• scrape gpu stats for gaming rigs on a grafana dashboard
• monitor gpus in small kubernetes clusters or homelabs without the gpu operator
• collect gpu metrics in vgpu mig or restricted container environments
• monitor mixed fleets of old and new nvidia cards with one exporter
• scrape nvidia-smi metrics remotely over ssh

When to choose

• you have consumer or prosumer GeForce/RTX cards where nvidia-smi is the only uniform metric source
• you need GPU metrics on Windows or in restricted environments where DCGM is unavailable
• you want a lightweight exporter without C bindings or the NVIDIA GPU Operator stack
• you need one exporter that behaves consistently across old and new cards

When to avoid

• you run datacenter GPUs on Kubernetes with the GPU Operator already installed - use DCGM-exporter instead
• you need deep GPU counters or profiling metrics beyond what nvidia-smi/NVML expose
• you need a vendor-supported solution with guaranteed maintenance

Facets

service · maturity active

monitoring monitoring gpu-computing windows self-hosted prometheus-exporter nvidia-gpu nvidia-smi nvml gpu-metrics homelab devops linux macos docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="utkuozdemir/nvidia_gpu_exporter")