gpu-operator
k8s-device-plugin
gpu-operator | k8s-device-plugin | |
---|---|---|
3 | 11 | |
1,173 | 2,422 | |
3.7% | 4.2% | |
9.4 | 9.6 | |
6 days ago | 4 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.
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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.
gpu-operator
- using GPU's with rancher
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Is being extremely frustrated with Nivida Kubernetes plugin normal?
Yeah the docs kinda suck and there is so much information. You could use a the operator instead? https://github.com/NVIDIA/gpu-operator
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What is the difference between nvidia device plugin and GPU operator?
GPU Operator Device plugin
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?
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!
kubevirt-gpu-device-plugin - NVIDIA k8s device plugin for Kubevirt
nvitop - An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
harvester - Open source hyperconverged infrastructure (HCI) software
metagpu - K8s device plugin for GPU sharing
aws-eks-share-gpu - How to share the same GPU between pods on AWS EKS
Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
aws-virtual-gpu-device-plugin - AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
terraform-provider-kubernetes - Terraform Kubernetes provider
containers-roadmap - This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).
asdf-awscli
csi-driver-smb - This driver allows Kubernetes to access SMB Server on both Linux and Windows nodes.