aws-virtual-gpu-device-plugin VS cdk-appsync-project

Compare aws-virtual-gpu-device-plugin vs cdk-appsync-project 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)

cdk-appsync-project

Projen managed AppSync Transformer project (by kcwinner)
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aws-virtual-gpu-device-plugin cdk-appsync-project
3 1
132 12
- -
0.0 0.0
over 1 year ago about 1 year ago
Jupyter Notebook TypeScript
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.

cdk-appsync-project

Posts with mentions or reviews of cdk-appsync-project. 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
    Using projen to deploy AWS AppSync with AWS CDK Ken Winner shares a very brief post on how you can use projen, a tool I mentioned a few issues ago from Elad Ben-Israel, to scaffold out everything you need when setting up your projects. In this case Ken has created cdk-appsync-project to demonstrate how you would do this for a sample AWS AppSync application integrated with AWS Cognito. As Ken points out, projen helps you address some of the things that AWS CDK does not. This is a two minute read, so head over and check this out.

What are some alternatives?

When comparing aws-virtual-gpu-device-plugin and cdk-appsync-project you can also consider the following projects:

kserve - Standardized Serverless ML Inference Platform on Kubernetes

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

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.

Lambda-Extension-Secrets-Wrapper-Python - Repository with my AWS Lambda Wrapper for reading parameters from SSM

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.

kube-secret-syncer - A Kubernetes operator to sync secrets from AWS Secrets Manager