Model Serving

Model serving is the process of making a trained machine learning model available so it can be used to make predictions or decisions in real-time applications. Once a model is developed, it’s hosted on a server or cloud platform where it can receive input data—like images, text, or numbers—and quickly provide an output, such as classifications or forecasts. This enables businesses and systems to utilize AI insights seamlessly in everyday operations, ensuring fast, reliable, and scalable responses without needing to retrain or manually run the model each time.