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Modern AI inference is no longer a side task tacked on to training pipelines. It is a distinct engineering discipline with its own performance constraints, reliability requirements, cost dynamics and failure modes. This book explains how production inference systems are designed, optimized, deployed and operated. It is written for software engineers, ML engineers, platform engineers and technical leads who need to build inference platforms that are fast, reliable, cost-efficient and understandable. You will learn not only what inference engineering techniques exist but why they work, how they work internally, when to use them, what trade-offs they introduce and how to measure their impact. The book progresses from first principles through sophisticated production-grade systems, always grounding guidance in quantitative reasoning, reproducible measurement and trade-off analysis rather than marketing claims or prescriptive recipes.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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