What is TensorFlow's role in deploying machine learning models to production environments?

TensorFlow provides powerful tools for deploying machine learning models into production systems. TensorFlow Serving delivers fast, flexible model deployment for real-time use. TensorFlow Lite lets you run and optimise models on mobile and embedded devices, while TensorFlow.js puts models directly in the browser. TensorFlow Extended provides a complete workflow for training, validating, and consistently serving models at scale. This makes TensorFlow flexible for building, launching, and managing models in the cloud, on devices, or online.