aws-oidc VS aws-virtual-gpu-device-plugin

Compare aws-oidc vs aws-virtual-gpu-device-plugin 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)
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aws-oidc aws-virtual-gpu-device-plugin
1 3
14 132
- -
9.6 0.0
8 days ago over 1 year ago
Go Jupyter Notebook
MIT License Apache License 2.0
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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-oidc

Posts with mentions or reviews of aws-oidc. 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
    aws-oidc is an open source command-line utility tool for generating temporary AWS STS credentials. The current project contains sample configurations and currently requires Okta as the identity provider. Annie Ku has put together a post to help you get started, in Federated AWS Access

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 aws-oidc and aws-virtual-gpu-device-plugin you can also consider the following projects:

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

kserve - Standardized Serverless ML Inference Platform on Kubernetes

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

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

axis-aws-rekognition - This project is a POC of using AWS Rekognition service over persistent and secure MQTT using client certificate with axis cameras (Requires firmware version 10+). Secure MQTT is used instead of HTTPS to get less overhead with connection setup

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