cstor-operators
k8s-device-plugin
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| cstor-operators | k8s-device-plugin | |
|---|---|---|
| 4 | 11 | |
| 93 | 2,393 | |
| - | 6.3% | |
| 5.1 | 9.5 | |
| 4 months ago | 5 days ago | |
| Go | Go | |
| 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.
cstor-operators
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Why OpenEBS 3.0 for Kubernetes and Storage?
OpenEBS CStor (declared stable), has added support for a CSI Driver and also improved customer resources and operators for managing the lifecycle of CStor Pools. This 3.0 version of the CStor includes:
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32 Node KBN-I/5200 Kubernetes cluster running Debian 10/K8s 1.17/Intel Core i7/8GB RAM each. Used the standoffs and mounted each 8 stack to empty trays. Disks are 64GB USB3 sticks.
It's a little complicated at first but there's also OpenEBS and Longhorn. Longhorn is probably the most easiest to get going with, but I chose rook-ceph because it's very stable.
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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
- SMB CSI: https://github.com/kubernetes-csi/csi-driver-smb - OpenEBS if you got the hardware for it: https://openebs.io/
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Best Open-Source Distributed Parallel Storage Option for an AI/ML Cluster?
Tried OpenEBS? These two have replication HA features. https://github.com/openebs/Mayastor https://github.com/openebs/cstor-operators
k8s-device-plugin
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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
What are some alternatives?
Mayastor - Dynamically provision Stateful Persistent Replicated Cluster-wide Fabric Volumes & Filesystems for Kubernetes that is provisioned from an optimized NVME SPDK backend data storage stack.
kubevirt-gpu-device-plugin - NVIDIA k8s device plugin for Kubevirt
jiva-operator - Kubernetes Operator for managing Jiva Volumes via custom resource.
harvester - Open source hyperconverged infrastructure (HCI) software
openebs - Most popular & widely deployed Open Source Container Native Storage platform for Stateful Persistent Applications on Kubernetes.
aws-eks-share-gpu - How to share the same GPU between pods on AWS EKS
longhorn - Cloud-Native distributed storage built on and for Kubernetes
aws-virtual-gpu-device-plugin - AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
zfs-localpv - Dynamically provision Stateful Persistent Node-Local Volumes & Filesystems for Kubernetes that is integrated with a backend ZFS data storage stack.
terraform-provider-kubernetes - Terraform Kubernetes provider
dynamic-nfs-provisioner - Operator for dynamically provisioning an NFS server on any Kubernetes Persistent Volume. Also creates an NFS volume on the dynamically provisioned server for enabling Kubernetes RWX volumes.
containers-roadmap - This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).