An Open Field Guide to Inference Engineering · Modelplane Docs

This open field guide outlines the role of inference engineering for platform teams self-hosting AI models in production. It explains the mechanics of serving engines, hardware sizing for model weights and KV caches, performance bottlenecks across prefill and decode phases, and best practices for observability, autoscaling, and rollouts. Open article →