Optimize model serving at the edge with RawDeployment mode

This blog post provides a detailed guide on optimizing model serving at the edge using the RawDeployment mode in Red Hat OpenShift AI. It discusses challenges and advantages of edge computing, step-by-step instructions to set up the environment and infrastructure, and how to train and deploy AI models with a focus on resource efficiency in constrained environments.