TensorFlow Serving

TensorFlow Serving is a system that allows machine learning models to be used efficiently in real-world applications. It manages, updates, and delivers trained models so they can make predictions or analyze data on demand. Think of it like a highly skilled digital "library" for models, ensuring that when a user or application needs insights or decisions from a model, it can quickly access and use the latest version without downtime or manual intervention. This makes deploying and maintaining machine learning models scalable, reliable, and suitable for live environments.