Deploying a model with an API in docker

This page summarizes the projects mentioned and recommended in the original post on /r/mlops
model-serving Deep Learning Machine Learning nerual-network Mlops

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured

  • mosec

    A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

    • You could first create the image with the framework you like (e.g. bentoml or https://github.com/mosecorg/mosec for light weight).

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • Python Machine Learning Service Can Run Way More Faster

    1 project | news.ycombinator.com | 6 Oct 2022

  • [P] Mosec: deploy your machine learning model in an easy and efficient way

    2 projects | /r/MachineLearning | 14 Oct 2021

  • Mosec: deploy your machine learning model in an easy and efficient way

    1 project | /r/MachineLearning | 14 Oct 2021

  • Launching ModelZ Beta!

    3 projects | dev.to | 20 Jun 2023

  • [D] Open Source ML Organisations to contribute to?

    3 projects | /r/MachineLearning | 9 Sep 2022