Serverless Machine Learning: Running AI Models Without Managing Infrastructure

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: