LLM Inference Benchmarking - Measure What Matters

Production-grade LLM inference requires benchmarking across three pillars: end-to-end model performance, micro-benchmarking of isolated components, and a structured improvement process. The prefill phase is compute-bound, while the decode phase is memory-bound. Hardware variability across NVIDIA and AMD GPUs makes optimal performance dependent on software maximizing FLOPs and bandwidth efficiency.