Lambda-Extension-Secrets-Wrapper-Python VS aws-virtual-gpu-device-plugin

Compare Lambda-Extension-Secrets-Wrapper-Python vs aws-virtual-gpu-device-plugin and see what are their differences.

Lambda-Extension-Secrets-Wrapper-Python

Repository with my AWS Lambda Wrapper for reading parameters from SSM (by JimmyDqv)

aws-virtual-gpu-device-plugin

AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads (by awslabs)
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Lambda-Extension-Secrets-Wrapper-Python aws-virtual-gpu-device-plugin
1 3
1 132
- -
0.0 0.0
over 3 years ago over 1 year ago
Python Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Lambda-Extension-Secrets-Wrapper-Python

Posts with mentions or reviews of Lambda-Extension-Secrets-Wrapper-Python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-10-25.
  • AWS open source news and updates No.41
    13 projects | dev.to | 25 Oct 2020
    Lambda-Extension-Secrets-Wrapper-Python Jimmy Dahlqvist shares this open source project that read all parameters for an application and environment from Amazon Parameter Store and presents them as environment variables.

aws-virtual-gpu-device-plugin

Posts with mentions or reviews of aws-virtual-gpu-device-plugin. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-04.
  • Share a GPU between pods on AWS EKS
    10 projects | dev.to | 4 Nov 2021
    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).
  • [D] Serverless solutions for GPU inference (if there's such a thing)
    2 projects | /r/MachineLearning | 22 Feb 2021
    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/
  • AWS open source news and updates No.41
    13 projects | dev.to | 25 Oct 2020
    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?

When comparing Lambda-Extension-Secrets-Wrapper-Python and aws-virtual-gpu-device-plugin you can also consider the following projects:

aws-robomaker-sample-application-meirorunner - This sample application can run on AWS RoboMaker and demonstrate reinforcement learning machine learning for robotics

kserve - Standardized Serverless ML Inference Platform on Kubernetes

leapp - Leapp is the DevTool to access your cloud

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-auto-cleanup - Programmatically delete AWS resources based on an allowlist and time to live (TTL) settings

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

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.