dcgm-exporter | NVIDIA GPU metrics exporter for Prometheus leveraging DCGM | GPU library

by NVIDIA Go Version: 3.1.8-3.1.5 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | dcgm-exporter Summary

dcgm-exporter is a Go library typically used in Hardware, GPU, Prometheus applications. dcgm-exporter has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This repository contains the DCGM-Exporter project. It exposes GPU metrics exporter for Prometheus leveraging NVIDIA DCGM.

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Support

dcgm-exporter has a low active ecosystem.

It has 341 star(s) with 79 fork(s). There are 14 watchers for this library.

It had no major release in the last 12 months.

There are 60 open issues and 38 have been closed. On average issues are closed in 12 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dcgm-exporter is 3.1.8-3.1.5

Quality

dcgm-exporter has 0 bugs and 0 code smells.

Security

dcgm-exporter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dcgm-exporter code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dcgm-exporter is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

dcgm-exporter releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed dcgm-exporter and discovered the below as its top functions. This is intended to give you an instant insight into dcgm-exporter implemented functionality, and help decide if they suit your requirements.

main is the main entrypoint .
Run executes the dcgm command
InitializeSystemInfo initializes the system information .
parseDeviceOptions parses DOSA device options
parseDeviceOptionsToken parses device options
extractCounters extracts the counters from a list of records .
ToString converts a FieldValue to a string
ToDeviceToPod converts a ListResourcesResponse to a PodInfo map
ToMetric converts a field value to metrics . Metric .
SetupDcgmFieldsWatch creates a set of watchers for the given devices .

Get all kandi verified functions for this library.

dcgm-exporter Key Features

No Key Features are available at this moment for dcgm-exporter.

dcgm-exporter Examples and Code Snippets

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Community Discussions

Trending Discussions on dcgm-exporter

On GKE, dcgm-exporter pod fails to run if the nvidia.com/gpu resource is not allocated

QUESTION

On GKE, dcgm-exporter pod fails to run if the nvidia.com/gpu resource is not allocated

Asked 2020-Nov-23 at 03:40

I am trying to query GPU usage metrics of GKE pods.

Here is what I've done for test:

Created GKE cluster with two node pools, one of them has two cpu-only nodes and the other has one node with NVIDIA Tesla T4 GPU. All nodes are running Container-Optimized OS.
As written in https://cloud.google.com/kubernetes-engine/docs/how-to/gpus#installing_drivers, I ran kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml.
kubectl create -f dcgm-exporter.yaml

...

ANSWER

Answered 2020-Nov-23 at 03:40

It worked with these:

Set privileged: true to securityContext.
Add volume mount "nvidia-install-dir-host".

Source https://stackoverflow.com/questions/64940013

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install dcgm-exporter

To gather metrics on a GPU node, simply start the dcgm-exporter container:.
Note: Consider using the NVIDIA GPU Operator rather than DCGM-Exporter directly. Ensure you have already setup your cluster with the default runtime as NVIDIA.