https://spotml.io/

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Cut ML training costs by up to 70%

SpotML is a command-line tool that lets you train machine learning
models on cheap AWS Spot Instances or GCP Preemptible VMs, easily &
automatically.

Train your model entirely on Spot Instances, or mix with On-Demand
resources to meet your deadlines.
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Before After

How SpotML works

1. Add config file to the root directory

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2. Run command to sync folder and train

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3. Run command "spot manage run" to automatically start a remote
server. SpotML will wait for the training to complete to stop the
server.

Why SpotML?

We make Spot Instances and Preemptible VMs suitable for ML training.

Spot Instances are 70% cheaper than On-Demand instances but are
prone to interruptions. We mitigate the downside of these
interruptions through the use of persistence features, including
optional fallback to On-Demand instances. So you can optimize
workflows according to your budget and time constraints.

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Train on Cloud, Easily

Train on cloud as easily as with a local machine. We abstract away
the complexity of AWS/GCP so you can iterate faster.

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Cut Training Costs

We help you save up to 70% by using AWS Spot Instances or GCP
Preemptible VMs.

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Instance Auto-Recovery

We immediately resume training after interruptions, using the last
model checkpoint via persistent EBS volume.

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Develop with Docker

Develop your model locally using a Docker container and run it on
cloud.

Pricing

Open Source

Free

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Non-commercial use
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Commercial use for a single user per account
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Up to 200 hours of free spot training per month
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Support through GitHub

Business

$9.99/month

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Commercial use for more than 1 user per account
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Email/Phone support
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> 200 hours of spot training per month
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Priority feature requests