k8s-device-plugin
NVIDIA device plugin for Kubernetes (by NVIDIA)
harvester
Open source hyperconverged infrastructure (HCI) software (by rancher)
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| k8s-device-plugin | harvester | |
|---|---|---|
| 11 | 62 | |
| 2,393 | 3,517 | |
| 6.3% | 3.4% | |
| 9.5 | 9.4 | |
| 3 days ago | 6 days ago | |
| Go | Go | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
k8s-device-plugin
Posts with mentions or reviews of k8s-device-plugin.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-09.
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Unlocking AI and ML Metal Performance with QBO Kubernetes Engine (QKE) Post
https://github.com/NVIDIA/k8s-device-plugin/issues/332#issue...
- 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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Nvidia GPU Plugin: Am I really limited to one pod per GPU?
Not talking about MIG. NVIDIA device plugin. https://github.com/NVIDIA/k8s-device-plugin
- Nvidia Kubernetes plugin install option that does not require Helm?
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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
harvester
Posts with mentions or reviews of harvester.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-28.
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TrueNAS virtualization using Harvester and Kubevirt
At Harvester v1.1.2, it seems virtual machines on some AMD platforms cannot detect nested virtualization. This might relate to Harvester issue #3900, but that issue is categorized as a user interface bug only. Besides, I can run virtual machines on my Ryzen 5600G node normally (with SVM, IOMMU, and SR-IOV enabled, while /sys/module/kvm_amd/parameters/nested returns 1).
- Are there any dedicated linux distros that come out of the box with k8s?
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🔧I tried out Harvester HCI for the homelab, and it is an interesting solution
With this being nowhere documented, I dived into GitHub issues and found #1479. I learned the bootstrap password is admin, which then allowed me to log in.
- Self hosting our Startup, where do we begin?
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proxmox in docker or vagrant
Or with Hyper-converged infrastructure https://harvesterhci.io/
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Any easy to use gui to create/deploy/monitor k8s for a devops newbie?
Have a look at Harvester if you have a unused pc. It can create a k3s cluster in vms automatically. TechnoTim has done a video about it, looks really easy. Also combines with rancher and longhorn for managing cluster a storage.
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Has anyone used Harvester?
Im currently using proxmox and I want to what the community's feelings towards Suse Harvester. What are your experiences and is it worth trying out?
- Can you do infrastructure as code on non-cloud assets?
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3 node kubernetes cluster - All masters?
This seems like the route, thank you for your response. u/happyColoradoDave pointed me towards harvester which should make VM management easier. Going to go with that to run VMs now.
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Is anyone using kubevirt, oVirt or some "kubernetes VM" solution to fire up Windows (not linux) VM's in any reasonable number?
I assume you mean https://harvesterhci.io/
What are some alternatives?
When comparing k8s-device-plugin and harvester you can also consider the following projects:
kubevirt-gpu-device-plugin - NVIDIA k8s device plugin for Kubevirt
homelab - Modern self-hosting framework, fully automated from empty disk to operating services with a single command.
aws-eks-share-gpu - How to share the same GPU between pods on AWS EKS
kubevirt - Kubernetes Virtualization API and runtime in order to define and manage virtual machines.
aws-virtual-gpu-device-plugin - AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
rancher - Complete container management platform
terraform-provider-kubernetes - Terraform Kubernetes provider
longhorn - Cloud-Native distributed storage built on and for Kubernetes
containers-roadmap - This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).
slim - Build and run tiny vms from Dockerfiles. Small and sleek.
asdf-awscli
Flatcar - Flatcar project repository for issue tracking, project documentation, etc.
k8s-device-plugin vs kubevirt-gpu-device-plugin
harvester vs homelab
k8s-device-plugin vs aws-eks-share-gpu
harvester vs kubevirt
k8s-device-plugin vs aws-virtual-gpu-device-plugin
harvester vs rancher
k8s-device-plugin vs terraform-provider-kubernetes
harvester vs longhorn
k8s-device-plugin vs containers-roadmap
harvester vs slim
k8s-device-plugin vs asdf-awscli
harvester vs Flatcar