Explore the power of AI at scale with TensorFlow Serving in this third installment of the MLOps on Google Cloud Platform Series. Learn about deploying an image segmentation model and handling high-traffic production environments. The article delves into the benefits of choosing the right deployment strategy, potentially saving millions on server costs for large AI applications. It also explains how TensorFlow Serving scales horizontally based on incoming traffic, ensuring efficient handling of concurrent requests.
Read more at Medium…