booster VS aws-virtual-gpu-device-plugin

Compare booster vs aws-virtual-gpu-device-plugin and see what are their differences.

booster

Fast and secure initramfs generator (by anatol)

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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booster aws-virtual-gpu-device-plugin
27 3
452 132
- -
6.3 0.0
24 days ago over 1 year ago
Go 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.
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.

booster

Posts with mentions or reviews of booster. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-18.

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

u-root - A fully Go userland with Linux bootloaders! u-root can create a one-binary root file system (initramfs) containing a busybox-like set of tools written in Go.

kserve - Standardized Serverless ML Inference Platform on Kubernetes

tang - Tang binding daemon

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

yubikey-full-disk-encryption - Use YubiKey to unlock a LUKS partition

k8s-device-plugin - NVIDIA device plugin for Kubernetes

void-packages - The Void source packages collection

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.

sslmgr - A layer of abstraction the around acme/autocert certificate manager (Golang)

terraform-provider-kubernetes - Terraform Kubernetes provider

zip - Fork of Go's archive/zip to add reading/writing of password protected zip files.

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.