Show HN: Seamless ML training on AWS Spot instances

Take advantage of the MemVerge Fault Tolerance Service early access program to mitigate the risk of terminations which can save you a ton of heartache and money.

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What you have to do 1.Deploy a non-fault-tolerant and/or long-running workload on AWS. 2.Pay for services (AWS) not provided by MemVerge. 3.Provide on-going feedback to MemVerge about the status of the deployment and operation.

frank.berry@memverge.com

Lear more at https://bigmemorycloud.com/

SpotML is a command line tool that automatically manages ML training on AWS spot instances. It lets you handle spot interruptions by resuming training using the latest checkpoint.

Documentation link to try it out: https://docs.spotml.io/getting-started

Looking for feedback from early testers. You would be an ideal candidate if you have a side project that you're spending your own money to train.

Acknowledgement: - SpotML is built on top of existing open source library Spotty: https://github.com/spotty-cloud/spotty

Looks interesting, will try it out later this week for my pet project.