Profiling vLLM Inference Server with GPU acceleration on RHEL

This blog post is a comprehensive guide on profiling a vLLM inference server running on a Red Hat Enterprise Linux (RHEL) system with NVIDIA GPU acceleration. It covers environment setup, basic profiling using PyTorch profiler, and advanced profiling with NVIDIA Nsight Systems. Steps include installing NVIDIA drivers and container toolkit, configuring GPU access, and analyzing performance metrics using various profiling tools. The article provides practical insights for developers looking to optimize the performance of large language models in production environments.