A Guide to AI Inference Engineering

Inference engineering optimizes running trained AI models in production. Two GPU operations, prompt processing and token generation, have opposite bottlenecks: compute-bound and memory-bound. The discipline spans GPU code, serving frameworks, and cloud infrastructure, balancing latency, throughput, cost, and quality for serious AI workloads.