Peak Inference - Infra Economics of AI Inference

Many AI systems fail for reasons that are not obvious during development. Models improve. Benchmarks look good. Latency is acceptable. Then usage grows and costs start behaving strangely.Peak Inference, Infra Economics explains why this happens. The book shows that inference is constrained less by compute and more by memory movement, batching behavior, context growth, and sequential execution. These constraints interact in ways that make costs scale non-linearly once systems leave controlled environments.The book does not focus on specific tools or optimizations. Instead, it develops a way to reason about inference as an economic system. Readers learn how deployment patterns, architecture choices, and product requirements shape cost and performance in production. The goal is not to run models faster, but to understand which systems can survive real usage. Read more