Rick W / Friday, August 7, 2026 / Categories: Artificial Intelligence Measuring Performance of Transformer Inference This chapter is divided into eight parts; they are: • Metrics for LLM Inference • Measuring a Single Request • Warmup and Synchronization • Measuring GPU Work with CUDA Events • Measuring Memory Usage • Measuring Concurrent Requests • Multiple GPUs and Multiple Machines • Cost per Token The most common inference metrics are: • Latency: How long a request takes from start to finish. Previous Article Decoding Strategies and Output Control Next Article Top 10 Skills for Claude Code and Codex CLI Print 7 Tags: LLMGPU