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SpotML - Cut ML Training Costs by up to 70%
source link: https://www.spotml.io/
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Cut ML Training Costs by up to 70%
Open Source
Business
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.
Train your model entirely on Spot Instances, or mix with On-Demand resources to meet your deadlines.
How SpotML works
1. Add config file to the root directory
2. Run command to sync folder and train
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.
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.
Instance Auto-Recovery
We immediately resume training after interruptions, using the last model checkpoint via persistent EBS volume.
Develop with Docker
Develop your model locally using a Docker container and run it on cloud.
Pricing
Open Source
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
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