terraform
k8s-device-plugin
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| terraform | k8s-device-plugin | |
|---|---|---|
| 1 | 10 | |
| 3 | 1,985 | |
| - | 4.9% | |
| 10.0 | 0.0 | |
| 5 months ago | 15 days ago | |
| HCL | Go | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
terraform
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Time-Slicing GPUs with Karpenter
tarrantrom
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
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
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
asdf-awscli
containers-roadmap - This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).
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
charts - ⚠️ Deprecated : Helm charts for applications you run at home
cert-manager - Automatically provision and manage TLS certificates in Kubernetes