The Serving Desk Puts a Price Tag on the AI Stack

Field notes

The publication organizes its coverage into Costs, Infrastructure, Startups, Models, and Serving, with most visible pieces designed as three- or four-minute reads. Its subject matter stays close to operational decisions: comparing GPU-hour and per-token pricing, sizing local inference, evaluating vector databases by recall and latency, and translating model changes into serving budgets. The homepage reports 34 articles, four sections, 111 minutes of reading, and two languages.