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Pluo

Suppose you are a Data Scientist or Machine Learning Engineer (or another role
name of this kind). You took your time to analyze your dataset, clean it, and
prepare it to train your model. You then prepared many model candidates using
the most recent techniques and took your time to fine-tune them. After all this
extensive work, you finally created a model to be proud of. You finally finished
your job. Well, unfortunately, not. If your model never goes live and is
actively used, delivering value

The path to putting your ML model in production

Serverless

Serverless computing is a cloud computing execution model in which the cloud provider allocates machine resources on demand, taking care of the servers on behalf of their customers.