Deploying 🤗 ViT on Kubernetes with TF Serving

The article discusses the deployment of the Vision Transformer (ViT) model using TensorFlow Serving on a Kubernetes cluster. It covers the steps for containerizing the model, configuring the serving API, and managing resource allocation in Kubernetes. This approach enables scalable and efficient deployment of ViT for image classification tasks, providing practitioners with a robust framework for serving AI models in production environments.