A research team from ETH Zürich and Microsoft presents a systematic, comparative study of distributed ML training over serverless infrastructures (FaaS) and “serverful” infrastructures (IaaS), aiming to understand the system tradeoffs of distributed ML training with serverless infrastructures.

Here is a quick read: ETH Zürich & Microsoft Study: Demystifying Serverless ML Training.

The paper Towards Demystifying Serverless Machine Learning Training is on arXiv.

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