Notes on ‘AI Engineering’ chapter 9: Inference Optimisation
Read OriginalThis article provides detailed notes on inference optimization for AI systems, based on Chapter 9 of Chip Huyen's 'AI Engineering' book. It covers core concepts like compute-bound and memory bandwidth-bound bottlenecks, inference APIs (online vs. batch), key performance metrics (latency, throughput), and the critical business importance of reducing inference costs, which can constitute up to 90% of ML expenses.
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