k8s-device-plugin
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k8s-device-plugin | k2tf | |
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11 | 4 | |
2,304 | 1,133 | |
4.6% | - | |
9.5 | 2.7 | |
5 days ago | 4 months ago | |
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Apache License 2.0 | Mozilla Public License 2.0 |
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k8s-device-plugin
- Nos – Open-Source to Maximize GPU Utilization in Kubernetes
- Show HN: Nos – Open-Source to Maximize GPU Utilization in Kubernetes
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Time-Slicing GPUs with Karpenter
K8s-device-plugin
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Understanding Kubernetes Limits and Requests
This framework allows the use of external devices (e.g., NVIDIA GPUs, AMD GPUS, SR-IOV NICs) without modifying core Kubernetes components.
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What is the difference between nvidia device plugin and GPU operator?
GPU Operator Device plugin
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Share a GPU between pods on AWS EKS
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.
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Looking for a sanity check on a project I'm working on at home, hoping you fine people can help - Raspberry Pi Kubernetes Cluster
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
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NVIDIA GPU passthrough with k3s?
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
k2tf
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HELM vs KUSTOMIZE
... and if you're an opinionated person, like me, and you value consolidated infrastructure atomicity as a whole along side locks for everything. You'd port cherry-picked helm charts as terraform modules with k2tf, and build every docker container from scratch, with forced layer invalidation to perform security updates for every image, using the docker and kubernetes providers respectively.
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Share a GPU between pods on AWS EKS
Pro tip: If you want to convert k8s yaml files to .tf, you can use k2tf (repo) that is able to convert the resource types of the yaml top their appropriated counterparts of the k8s provider for terraform. To install it, just:
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Does anyone use terraform to manage Kubernetes objects as opposed to using plain yamls/helm charts/kustomize?
Almost all is created as manifest/helm in K8S world, too much toil to convert (tool like https://github.com/sl1pm4t/k2tf help but exists corners cases)
What are some alternatives?
kubevirt-gpu-device-plugin - NVIDIA k8s device plugin for Kubevirt
harvester - Open source hyperconverged infrastructure (HCI) software
aws-eks-share-gpu - How to share the same GPU between pods on AWS EKS
terraformer - CLI tool to generate terraform files from existing infrastructure (reverse Terraform). Infrastructure to Code
hcl - HCL is the HashiCorp configuration language.
aws-virtual-gpu-device-plugin - AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
terraform-provider-kubernetes - Terraform Kubernetes provider
containers-roadmap - This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).
asdf-awscli
csi-driver-smb - This driver allows Kubernetes to access SMB Server on both Linux and Windows nodes.
kubevirt - Kubernetes Virtualization API and runtime in order to define and manage virtual machines.
asdf-hashicorp - HashiCorp plugin for the asdf version manager