Serving Machine Learning Models

Rishiraj Acharya
3 min readJan 5, 2023

As machine learning models become more prevalent in a variety of industries, the need to serve these models in production environments has become increasingly important. Serving a machine learning model means making it available for prediction or inference, either to serve real-time predictions to users or to batch prediction for offline use. There are several ways to serve a machine learning model, and which one is the best for your use case depends on the specific requirements of your application. In this blog post, we will explore the various options for serving machine learning models and their…

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Rishiraj Acharya

GDE in ML (Gen AI, Keras) | GSoC '22 at TensorFlow | TFUG Kolkata Organizer | Hugging Face Fellow | Kaggle Master | MLE at Tensorlake, Past - Dynopii, Celebal