aws-virtual-gpu-device-plugin
aws-auto-cleanup
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aws-virtual-gpu-device-plugin | aws-auto-cleanup | |
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3 | 5 | |
132 | 490 | |
- | 0.0% | |
0.0 | 0.0 | |
over 1 year ago | about 1 year ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | MIT License |
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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.
aws-auto-cleanup
- AWS Auto Cleanup
- Programmatically delete AWS resources based on allowlist and (TTL)
- servian/aws-auto-cleanup: Programmatically delete AWS resources based on an allowlist and time to live (TTL) settings
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Show HN: AWS Auto Cleanup – Automatically cleanup your AWS account
I launched AWS Auto Cleanup (https://github.com/servian/aws-auto-cleanup) in April 2019. The goal of the project was to create a tool that would delete unused or abandoned AWS resources.
Each supported resource has a maximum time-to-live (TTL) which can be extended by allowlisting your resources in a simple web UI.
I've been slowly added support for more commonly used/expensive AWS resources over time.
Feedback, comments, suggestions and more always welcome.
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AWS open source news and updates No.41
aws-auto-cleanup an open source application from Servian to programmatically clean your AWS resources based on a whitelist and time to live (TTL) settings. Auto Cleanup is comprised of three modules, APP, API, and WEB. Click through to learn more and follow the steps to deploy the modules to your environment.
What are some alternatives?
kserve - Standardized Serverless ML Inference Platform on Kubernetes
ActionServerless - Use GitHub Actions to create a Serverless service.
aws-eks-share-gpu - How to share the same GPU between pods on AWS EKS
aws-sdk-js-v3 - Modularized AWS SDK for JavaScript.
k8s-device-plugin - NVIDIA device plugin for Kubernetes
aws-robomaker-sample-application-meirorunner - This sample application can run on AWS RoboMaker and demonstrate reinforcement learning machine learning for robotics
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.
paco - Paco: Prescribed automation for cloud orchestration
terraform-provider-kubernetes - Terraform Kubernetes provider
aws-lambda-scheduler - aws-lambda-scheduler is EventBridge Rule manager that lets you call any existing AWS Lambda Function you have in a set future time with pre-set parameters. Allows more rule creation than AWS limit.
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.