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K8s-device-plugin Alternatives
Similar projects and alternatives to k8s-device-plugin
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kubevirt-gpu-device-plugin
NVIDIA k8s device plugin for Kubevirt
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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containers-roadmap
This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).
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terraform-provider-kubernetes
Terraform Kubernetes provider
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aws-virtual-gpu-device-plugin
AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
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csi-driver-smb
This driver allows Kubernetes to access SMB Server on both Linux and Windows nodes.
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SonarLint
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nos
Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elastic quotas - Effortless optimization at its finest!
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kubevirt
Kubernetes Virtualization API and runtime in order to define and manage virtual machines.
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kube-karp
☸ Add a floating virtual IP to Kubernetes cluster nodes for load balancing easily.
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cert-manager
Automatically provision and manage TLS certificates in Kubernetes
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external-dns
Configure external DNS servers (AWS Route53, Google CloudDNS and others) for Kubernetes Ingresses and Services
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metallb
A network load-balancer implementation for Kubernetes using standard routing protocols
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charts
⚠️ Deprecated : Helm charts for applications you run at home (by k8s-at-home)
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better k8s-device-plugin alternative or higher similarity.
k8s-device-plugin reviews and mentions
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.
- 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
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A note from our sponsor - SonarLint
www.sonarlint.org | 2 Jun 2023
Stats
Basic k8s-device-plugin repo stats
10
1,795
7.3
8 days ago
NVIDIA/k8s-device-plugin is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of k8s-device-plugin is Go.
Popular Comparisons
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