aws-robomaker-sample-application-meirorunner
aws-virtual-gpu-device-plugin
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| aws-robomaker-sample-application-meirorunner | aws-virtual-gpu-device-plugin | |
|---|---|---|
| 1 | 3 | |
| 4 | 132 | |
| - | - | |
| 3.0 | 0.0 | |
| about 2 years ago | over 1 year ago | |
| Python | Jupyter Notebook | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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aws-robomaker-sample-application-meirorunner
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AWS open source news and updates No.41
aws-robomaker-sample-application-meirorunner this is a cool open source sample application that you can run on AWS RoboMaker and demonstrate reinforcement learning machine learning for robotics. The folks have also written a supporting blog post, Escape from the maze by training a Reinforcement Learning model on AWS RoboMaker Takuji Kawata and Tatsuya Arai provide additional information to help you run this yourself.
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?
Lambda-Extension-Secrets-Wrapper-Python - Repository with my AWS Lambda Wrapper for reading parameters from SSM
kserve - Standardized Serverless ML Inference Platform on Kubernetes
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.
aws-eks-share-gpu - How to share the same GPU between pods on AWS EKS
aws-auto-cleanup - Programmatically delete AWS resources based on an allowlist and time to live (TTL) settings
k8s-device-plugin - NVIDIA device plugin for Kubernetes
aws-sdk-js-v3 - Modularized AWS SDK for JavaScript.
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.
cdk-appsync-project - Projen managed AppSync Transformer project
terraform-provider-kubernetes - Terraform Kubernetes provider
kube-secret-syncer - A Kubernetes operator to sync secrets from AWS Secrets Manager