#autoscaling-tensorflow-model-deployments-with-tf-serving-and-kubernetes

Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes - GSP777

Overview Serving deep learning models can be especially challenging. The models are often large, requiring gigabytes of memory. They are also very compute intensive - a small number of concurrent requests can fully utilize a CPU or GPU. Automatic hor...