mindprince/ nvidia_gpu_prometheus_exporter
About the developer
136 Stars 
56 Forks 
Apache License 2.0 
15 Commits 
10 Opened issues 
Description
NVIDIA GPU Prometheus Exporter
Services available
Contributors list
NVIDIA GPU Prometheus Exporter
This is a Prometheus Exporter for exporting NVIDIA GPU metrics. It uses the Go bindings for NVIDIA Management Library (NVML) which is a C-based API that can be used for monitoring NVIDIA GPU devices. Unlike some other similar exporters, it does not call the
nvidia-smibinary.
Building
The repository includes
nvml.h, so there are no special requirements from the build environment.
go getshould be able to build the exporter binary.
go get github.com/mindprince/nvidia_gpu_prometheus_exporter
Running
The exporter requires the following: - access to NVML library (
libnvidia-ml.so.1). - access to the GPU devices.
To make sure that the exporter can access the NVML libraries, either add them to the search path for shared libraries. Or set
LD_LIBRARY_PATHto point to their location.
By default the metrics are exposed on port
9445. This can be updated using the
-web.listen-addressflag.
Running inside a container
There's a docker image available on Docker Hub at mindprince/nvidiagpuprometheus_exporter
If you are running the exporter inside a container, you will need to do the following to give the container access to NVML library:
-e LD_LIBRARY_PATH= --volume :
And you will need to do one of the following to give it access to the GPU devices: - Run with
--privileged- If you are on docker v17.04.0-ce or above, run with
--device-cgroup-rule 'c 195:* mrw'- Run with
--device /dev/nvidiactl:/dev/nvidiactl /dev/nvidia0:/dev/nvidia0 /dev/nvidia1:/dev/nvidia1
If you don't want to do the above, you can run it using nvidia-docker.
Running using nvidia-docker
nvidia-docker run -p 9445:9445 -ti mindprince/nvidia_gpu_prometheus_exporter:0.1