vLLM Deployment Best Practices on Red Hat OpenShift

This guide provides detailed instructions for deploying the vLLM serving and benchmarking methodology on a Red Hat OpenShift cluster. It outlines the necessary steps to set up the environment, deploy the inference server, and conduct benchmarking effectively. The document begins by explaining how to log in to OpenShift and create a new project. It then details the configuration of DNS resolution and the setup of a model download folder. The guide emphasizes the importance of applying performance tuning parameters, such as enabling the topology manager and tuned operator. Additionally, it includes instructions for setting up supportive components like an image registry and persistent volumes. The document also covers granting service account access and applying kubelet configuration optimizations. Finally, it provides steps for tagging and pushing the vLLM image, monitoring model downloads, and executing benchmark tests within the vLLM server pod. Overall, this guide serves as a comprehensive resource for ensuring optimal performance during vLLM deployment.