aws-ami-gpu-monitoring
aws-virtual-gpu-device-plugin
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| aws-ami-gpu-monitoring | aws-virtual-gpu-device-plugin | |
|---|---|---|
| 1 | 3 | |
| 3 | 132 | |
| - | - | |
| 3.2 | 0.0 | |
| over 2 years ago | over 1 year ago | |
| HCL | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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aws-ami-gpu-monitoring
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Share a GPU between pods on AWS EKS
From that repo, the only thing changed is the base AMI, which in this case an AMI tailored for accelerated hardware on EKS was used. The list of compatible AMIs for EKS can be obtained in this link updated regularly by AWS. Also, the AMI from AWS comes with SSM agent in it, so no need to change anything regarding that.
aws-virtual-gpu-device-plugin
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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).
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[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/
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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?
aws-eks-share-gpu - How to share the same GPU between pods on AWS EKS
kserve - Standardized Serverless ML Inference Platform on Kubernetes
k8s-device-plugin - NVIDIA device plugin for Kubernetes
asdf-tflint - An asdf plugin for installing terraform-linters/tflint.
k2tf - Kubernetes YAML to Terraform HCL converter
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.
containers-roadmap - This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).
terraform-provider-kubernetes - Terraform Kubernetes provider
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.