An Open Field Guide to Inference Engineering · Modelplane Docs

This open field guide outlines the role and practices of inference engineering for platform engineers transitioning to run AI models in production. It covers the technical layers of the inference stack, memory management for model weights and KV caches, performance metrics like time to first token and throughput, and production operational strategies such as autoscaling, monitoring, and routing. Open article →