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NVIDIA k8s device plugin for Kubevirt
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Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elastic quotas - Effortless optimization at its finest!
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k8s-device-plugin reviews and mentions
Nos – Open-Source to Maximize GPU Utilization in Kubernetes
3 projects | news.ycombinator.com | 9 Feb 2023
Show HN: Nos – Open-Source to Maximize GPU Utilization in Kubernetes
2 projects | news.ycombinator.com | 30 Jan 2023
Time-Slicing GPUs with Karpenter
3 projects | dev.to | 14 Dec 2022
Understanding Kubernetes Limits and Requests
9 projects | dev.to | 1 Dec 2022
This framework allows the use of external devices (e.g., NVIDIA GPUs, AMD GPUS, SR-IOV NICs) without modifying core Kubernetes components.
What is the difference between nvidia device plugin and GPU operator?
2 projects | reddit.com/r/kubernetes | 12 May 2022
GPU Operator Device plugin
Share a GPU between pods on AWS EKS
10 projects | dev.to | 4 Nov 2021
If you ever tried to use GPU-based instances with AWS ECS, or on EKS using the default Nvidia plugin, you would know that it's not possible to make a task/pod shared the same GPU on an instance. If you want to add more replicas to your service (for redundancy or load balancing), you would need one GPU for each replica.
Looking for a sanity check on a project I'm working on at home, hoping you fine people can help - Raspberry Pi Kubernetes Cluster
13 projects | reddit.com/r/homelab | 14 Apr 2021
Some notes on Plex/Emby/Kodi and transcoding. If you want true transcoding with GPU acceleration, you have to have Nvidia GPU or be a k8s device plugin genius. The whole idea of mounting elastic devices in k8s is fairly new and rather complex. In the mean time transcoding is best done on a beefy device with a proper CPU (eg i7) or specifically Nvidia GPU because there are numerous pre-made plugins. I just run Plex and Emby on an old ATX gaming machine without GPU acceleration and it works totally fine. They were barely usable for just me when running on the RPis, wouldn't recommend it unless you can figure out how to mount the correct devices in the pod using a custom raspberry pi device plugin . . . lol good luck! - Arm labs device manager: https://community.arm.com/developer/research/b/articles/posts/a-smarter-device-manager-for-kubernetes-on-the-edge - Deis labs Akri device manager: https://github.com/deislabs/akri - Nvidia GPU plugin: https://github.com/NVIDIA/k8s-device-plugin
NVIDIA GPU passthrough with k3s?
2 projects | reddit.com/r/kubernetes | 21 Feb 2021
Thanks for jumping in to help! So maybe I’m missing something - isn’t this only for Kubevirt? My setup is just a regular Ubuntu 20.04 VM with the GPU passed through. K3s from Rancher Labs (https://k3s.io/) is then running inside that VM. I’m using the NVIDIA Device Plugin Daemonset as well: https://github.com/NVIDIA/k8s-device-plugin
A note from our sponsor - SonarLint
www.sonarlint.org | 2 Jun 2023
NVIDIA/k8s-device-plugin is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of k8s-device-plugin is Go.
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