k8s-device-plugin
aws-virtual-gpu-device-plugin
DISCONTINUED
Our great sponsors
k8s-device-plugin | aws-virtual-gpu-device-plugin | |
---|---|---|
11 | 3 | |
2,304 | 132 | |
4.6% | - | |
9.5 | 0.0 | |
5 days ago | over 1 year ago | |
Go | Jupyter Notebook | |
Apache License 2.0 | 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.
k8s-device-plugin
- 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.
-
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
-
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
aws-virtual-gpu-device-plugin
-
Share a GPU between pods on AWS EKS
This project (available here) uses the k8s device plugin described by this AWS blog post to make GPU-based nodes publish the amount of GPU resource they have available. Instead of the amount of VRAM available or some abstract metric, this plugin advertises the amount of pods/processes that can be connected to the GPU. This is controlled by what is called by NVIDIA as Multi-Process Service (MPS).
-
[D] Serverless solutions for GPU inference (if there's such a thing)
AWS has apparently already started using this type of tech as of this year (see lost below). They mention virtual gpus but this particular solution probably won't help OP unfortunately. https://aws.amazon.com/blogs/opensource/virtual-gpu-device-plugin-for-inference-workload-in-kubernetes/
-
AWS open source news and updates No.41
The post explores GPU device plugin to address how to set fractional number of GPU resource for each pod by implementing the Kubernetes device plugin and Nvidia MPS. This project has been open sourced on GitHub.
What are some alternatives?
kubevirt-gpu-device-plugin - NVIDIA k8s device plugin for Kubevirt
harvester - Open source hyperconverged infrastructure (HCI) software
kserve - Standardized Serverless ML Inference Platform on Kubernetes
aws-eks-share-gpu - How to share the same GPU between pods on AWS EKS
terraform-provider-kubernetes - Terraform Kubernetes provider
containers-roadmap - This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).
determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
asdf-awscli
csi-driver-smb - This driver allows Kubernetes to access SMB Server on both Linux and Windows nodes.
booster - Software development framework specialized in building highly scalable microservices with CQRS and Event-Sourcing. It uses the semantics of the code to build a fully working GraphQL API that supports real-time subscriptions.