Your company, in The Serving Desk
The Serving Desk publishes sponsored and authored articles from companies with something useful to tell its readers. Every piece is reviewed by our editors before it runs, and advertising is declined.
Placements are booked through Dayside Media at dayside.media.
What we cover
The layer nobody demos: models, serving stacks and GPU economics, with cost per token treated as a first-class metric — and the reliability work that decides what an outage actually costs.
Claims are tested where testing is possible and read against the release notes where it is not, and the desk says which of the two a number came from. Benchmarks carry the conditions they were measured under, because a throughput figure without its batch size is decoration.
That standard is why the page is worth being on. Readers are choosing infrastructure they will live with for years and they discount marketing automatically — but an article with real numbers in it gets cited, linked and quoted back inside procurement long after it runs.
Numbers are what get quoted. An article here that publishes real figures — cost per token at a stated batch size, latency under a described load, what a migration actually saved — gets cited by readers arguing internally for a decision, and that citation carries further than the article itself. It also keeps running: infrastructure questions repeat every time a workload grows, so the page is still arriving from search when the next team hits the same wall. The bar is high and the reward matches it: the readership includes the people who decide what whole engineering organisations run on, and a placement read by the right people here is worth more than a campaign aimed at the wrong ones.
Where your article runs
Costs
Infrastructure Startups
Startups building the layer under the AI stack
Models
Serving
The readership
Anyone following AI seriously. The engineers running it in production are the core, and around them are founders deciding what to build on, investors and analysts watching chip and model costs, and readers who simply want AI news with real numbers in it.
What they come here looking for
- which LLM is cheapest to serve at our volume
- best observability stack for a small platform team
- how do we evaluate a model before shipping it
- how do we cut our cloud bill without a migration
- vector database for a small engineering team
- who can run a security review before our SOC 2
- who does AI integration for mid-market companies
- managed Postgres for a growing SaaS
- how much does inference actually cost per user
Two formats
Both are written for The Serving Desk's readers, reviewed by its editors before they run, and stay on theservingdesk.com permanently. The difference is how the page is labelled.
Sponsored
- Carries a sponsored label, at the top of the page
- Declined and refunded if it reads as advertising
Authored
- No paid label: it runs as editorial, in the section that fits
- Held to the same bar as the desk’s own work, or it does not run
Why place here
A page that stays
2 indexed pages on theservingdesk.com — one per language, each a permanent URL in the archive and the feed.
In the section that fits
Your article runs in Costs, Infrastructure Startups, Models or Serving, beside the newsroom’s own work on the same subject and in the same format.
Reviewed before it runs
The Serving Desk editors check the claims and decline anything that reads as advertising — refunded in full. That review is what makes a placement here worth citing.
Get your company into The Serving Desk
Placements are booked through Dayside Media at dayside.media.