k8s-device-plugin
containers-roadmap
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k8s-device-plugin | containers-roadmap | |
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11 | 80 | |
2,353 | 5,137 | |
4.7% | 0.6% | |
9.5 | 2.0 | |
4 days ago | 9 months ago | |
Go | Shell | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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
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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
containers-roadmap
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General Availability of the AWS SDK for Rust
Thanks for showing up and answering questions. Congratulations on the release.
What kind of plans for support of Rust's evolving async ecosystem?
Any particular reason why the public roadmap does not show the columns similar to "Researching", "We're Working On It" like the other similar public AWS Roadmaps? See example for Containers: https://github.com/aws/containers-roadmap/projects/1
Would be nice to have fully working examples on Github, for most common scenarios across most AWS services. This is something that historically
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Architecting for Resilience: Crafting Opinionated EKS Clusters with Karpenter & Cilium Cluster Mesh — Part 1
Second, We will only rely on one managed node group, but we will leverage Karpenter; however, karpenter needs to be deployed on a node. (This may change soon once the Karpenter is available on the EKS Control Plane.) [EKS] Karpenter inside control plane · Issue #1792 · aws/containers-roadmap
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Kubernetes SidecarContainers feature is merged
Deploying Fargate with CDK has to have been the most pleasant developer experience I have ever had with any product so far.
If image caching becomes a reality with Fargate I can't imagine a need to ever use anything else
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Announcing pull through cache for registry.k8s.io in Amazon Elastic Container Registry
Authenticated registry PTC is on the roadmap and we'd appreciate a +1 vote if you want support in ECR https://github.com/aws/containers-roadmap/issues/1584
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EKS/Spot vs EKS Fargate/Spot?
Eks Fargate doesn't support spot yet https://github.com/aws/containers-roadmap/issues/622
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How to use Podman inside of a container
Until podman could be used with AWS ECR/ECS it's pretty much moot in my case: https://github.com/aws/containers-roadmap/issues/626
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Anybody using spot instances for worker nodes?
Avoid managed node groups for now if you like saving money with spot, but leave a thumbs up at https://github.com/aws/containers-roadmap/issues/1903
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An Introduction to AWS Batch
Note: the platform flag is important if we are using a MacBook M1, since AWS Batch does not support ARM/Graviton yet.
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ECR - Api request throttling woes
You might try creating an issue at either https://github.com/aws/containers-roadmap or https://github.com/aws-cloudformation/cloudformation-coverage-roadmap
What are some alternatives?
kubevirt-gpu-device-plugin - NVIDIA k8s device plugin for Kubevirt
harvester - Open source hyperconverged infrastructure (HCI) software
eks-nvme-ssd-provisioner - EKS NVMe SSD provisioner for Amazon EC2 Instance Stores
aws-eks-share-gpu - How to share the same GPU between pods on AWS EKS
kube-fledged - A kubernetes operator for creating and managing a cache of container images directly on the cluster worker nodes, so application pods start almost instantly
netshoot - a Docker + Kubernetes network trouble-shooting swiss-army container
kraken - P2P Docker registry capable of distributing TBs of data in seconds
juicefs - JuiceFS is a distributed POSIX file system built on top of Redis and S3.
aws-virtual-gpu-device-plugin - AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
copilot-cli - The AWS Copilot CLI is a tool for developers to build, release and operate production ready containerized applications on AWS App Runner or Amazon ECS on AWS Fargate.
piku - The tiniest PaaS you've ever seen. Piku allows you to do git push deployments to your own servers.
terraform-provider-kubernetes - Terraform Kubernetes provider