Training infrastructure
Compute architecture, clusters, networking, storage, orchestration, and the operating constraints behind model training.
An OvZuno publication
AI infrastructure, from compute to production.
Practical explanations for the people building, operating, and evaluating the systems behind training and inference.
03defined coverage
areas
areas
A narrower field, covered with depth.
We focus on the infrastructure beneath production AI—not consumer tool roundups, prompt collections, or general AI headlines.
Coverage map
The areas this publication will explain.
Publication in development · Editorial framework onlineInference and serving
Runtime design, model APIs, deployment patterns, latency, throughput, observability, and production reliability.
GPU cloud economics
Capacity, utilization, performance tradeoffs, cost models, and the practical questions behind infrastructure selection.
Before publication
We are building the editorial foundation first.
No placeholder stories, artificial popularity signals, or empty article feeds. The publication will open for indexing only after its first three topic clusters meet our launch standard.
Read the editorial standards