[D] For those of you who don't own a GPU, how do you run your experiments or train your models?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • lithops

    A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁️🚀

  • At work for non-ML/non-GPU stuff I've been using Lithops for running code on dynamically-provisioned cloud resources (serverless or VM). It pickles your code & runtime variables, sends them to cloud storage, runs the code & downloads the results, all relatively transparently. You're just calling Python functions with Python objects on your local computer and not having to worry about deploying your code, packaging your data, etc. Better still, you can scale up for things like hyperparameter sweeps by just dispatching more calls in parallel, and it will provision more resources.

  • 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.

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