Real-World AI Inference: Speed, Scale, and What Actually Matters

Most inference optimization content stops at the model. This series goes further — from understanding why production latency behaves differently than your GPU benchmark, to profiling distributed systems, optimizing every layer of the pipeline, and making AI products fast enough for real users. Written from real experience building and leading computer vision systems at scale. No theory without practice.