Serverless Machine Learning: Running AI Models Without Managing Infrastructure

uttu
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Serverless machine learning refers to deploying ML inference code without provisioning or managing servers. Developers use Function-as-a-Service (FaaS) platforms (e.g., AWS Lambda, Azure Functions) to run model predictions on demand. This approach provides automatic scaling, pay-per-use billing, and low operational overhead.

Key advantages of serverless ML include:

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