AI/ML Infrastructure & Ops
Operational concerns of running AI/ML systems in production — 65 annotated infrastructure patterns across model serving, compute management, data pipelines, training, evaluation, deployment, observability, and security. Each includes maturity tiers (POC → Production → Scale), decision frameworks, and practical gotchas.
65 of 65 infrastructure patterns