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Cut ML training costs by up to 90%

SpotML is a command-line tool that lets you train machine learning models on spot instances, easily & automatically.

Train entirely on spot instances to maximize savings or mix with on-demand instances to meet your deadlines.

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How SpotML works

Add config file to the root directory

Run commands to auto-start a remote server that will stop once training is complete

Why SpotML?

We make spot instances suitable for ML training. Spot instances are 70% cheaper than on-demand instances but are prone to interruptions.
We mitigate the downsides with persistence features, including optional fallback to on-demand instances.

Train on Cloud Easily

Iterate faster by training on cloud as easily as with a local machine.

Cut Training Costs

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

Instance Auto-Recovery

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

Develop with Docker

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

Pricing

Open Source

Free

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

Business

$9.99/month

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