Publication
Peak Inference
Infra Economics of AI Inference
Cover TBD
Book
Peak Inference
Infra Economics of AI Inference
Many AI systems fail for reasons that are not obvious during development. Latency is acceptable, benchmarks look good, then usage grows and costs behave strangely. This book explains why inference is constrained less by compute and more by memory movement, batching behavior, and context growth.
By Kalmantic Labs
What's Inside
Topics Covered
Cost Modeling
Understanding the true cost of inference at scale — from token pricing to infrastructure overhead.
Optimization Strategies
Practical techniques for reducing inference costs without sacrificing quality or latency.
Production Deployment
Patterns for deploying and scaling AI inference in production environments.
MoE Models
Mixture of Experts architectures and their implications for inference economics.