aws-virtual-gpu-device-plugin VS kube-secret-syncer

Compare aws-virtual-gpu-device-plugin vs kube-secret-syncer and see what are their differences.

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)

kube-secret-syncer

A Kubernetes operator to sync secrets from AWS Secrets Manager (by contentful-labs)
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aws-virtual-gpu-device-plugin kube-secret-syncer
3 2
132 194
- 0.0%
0.0 6.2
over 1 year ago 5 days ago
Jupyter Notebook Go
Apache License 2.0 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

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.

kube-secret-syncer

Posts with mentions or reviews of kube-secret-syncer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-23.
  • Secrets... can I get it from aws secret manager?
    2 projects | /r/kubernetes | 23 Apr 2021
    I’ve used this in the past, and it’s reliable.
  • AWS open source news and updates No.41
    13 projects | dev.to | 25 Oct 2020
    kube-secret-syncer is an open source project that provides a Kubernetes operator to sync secrets from AWS Secrets Manager. View the README to find out why this might work better for you if you are already using something like Kubernetes external Secrets or AWS secret operator. Yann Hamon over at Contentful has helpfully put together an intro post Open-sourcing kube-secret-syncer: A Kubernetes operator to sync secrets from AWS Secrets Manager which you should also check out.

What are some alternatives?

When comparing aws-virtual-gpu-device-plugin and kube-secret-syncer you can also consider the following projects:

kserve - Standardized Serverless ML Inference Platform on Kubernetes

kubernetes-external-secrets - Integrate external secret management systems with Kubernetes [Moved to: https://github.com/external-secrets/kubernetes-external-secrets]

aws-eks-share-gpu - How to share the same GPU between pods on AWS EKS

cfn-diagram - CLI tool to visualise CloudFormation/SAM/CDK stacks as visjs networks, draw.io or ascii-art diagrams.

k8s-device-plugin - NVIDIA device plugin for Kubernetes

aws-oidc - AWS OIDC Federation

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.

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.

terraform-provider-kubernetes - Terraform Kubernetes provider

aws-sdk-js-v3 - Modularized AWS SDK for JavaScript.

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