k8s-device-plugin
NVIDIA device plugin for Kubernetes (by NVIDIA)
kube-karp
☸ Add a floating virtual IP to Kubernetes cluster nodes for load balancing easily. (by immanuelfodor)
Our great sponsors
| k8s-device-plugin | kube-karp | |
|---|---|---|
| 11 | 4 | |
| 2,353 | 121 | |
| 4.7% | - | |
| 9.5 | 0.0 | |
| 6 days ago | almost 2 years ago | |
| Go | Shell | |
| Apache License 2.0 | MIT License |
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.
- Unlocking AI and ML Metal Performance with QBO Kubernetes Engine (QKE) Post
- Nos – Open-Source to Maximize GPU Utilization in Kubernetes
- Show HN: Nos – Open-Source to Maximize GPU Utilization in Kubernetes
-
Time-Slicing GPUs with Karpenter
K8s-device-plugin
-
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.
-
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?
-
What is the difference between nvidia device plugin and GPU operator?
GPU Operator Device plugin
-
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.
-
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
kube-karp
Posts with mentions or reviews of kube-karp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-14.
- Kube-VIP as HA Solution
- Looking for a sanity check on a project I'm working on at home, hoping you fine people can help - Raspberry Pi Kubernetes Cluster
-
Three RPI4 nodes after a week of blood, sweat, and mountain dew. I friggin did it! What do i even do now?
"GitHub - immanuelfodor/kube-karp: ☸ Add a floating virtual IP to Kubernetes cluster nodes for load balancing easily." https://github.com/immanuelfodor/kube-karp
What are some alternatives?
When comparing k8s-device-plugin and kube-karp you can also consider the following projects:
kubevirt-gpu-device-plugin - NVIDIA k8s device plugin for Kubevirt
metallb - A network load-balancer implementation for Kubernetes using standard routing protocols
harvester - Open source hyperconverged infrastructure (HCI) software
charts - TrueNAS SCALE Apps Catalogs & Charts
aws-eks-share-gpu - How to share the same GPU between pods on AWS EKS
kube-opennebula - Helm chart and OpenNebula images ready to deploy on Kubernetes
aws-virtual-gpu-device-plugin - AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
akri - A Kubernetes Resource Interface for the Edge
terraform-provider-kubernetes - Terraform Kubernetes provider
helm - The Kubernetes Package Manager
containers-roadmap - This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).
k8s-device-plugin vs kubevirt-gpu-device-plugin
kube-karp vs metallb
k8s-device-plugin vs harvester
kube-karp vs charts
k8s-device-plugin vs aws-eks-share-gpu
kube-karp vs kube-opennebula
k8s-device-plugin vs aws-virtual-gpu-device-plugin
kube-karp vs akri
k8s-device-plugin vs terraform-provider-kubernetes
kube-karp vs helm
k8s-device-plugin vs containers-roadmap
kube-karp vs harvester