The Thinking Layer

Data center · Vendors

Who sells what, and where to read their own numbers

Each lineup below is drawn from the same dataset as the fit guide. Product names open the full record with sources; the link lists go to the vendors' own pages.

NVIDIA

The broadest range, from a 72 W inference card to 240 kW liquid-only racks. NVIDIA publishes maximum system draw and airflow for its own DGX servers, which makes those numbers the easiest to plan from; it publishes no rack power for Vera Rubin. Its software stack, CUDA, is what most AI software is written against.

AMD

Instinct accelerators match or exceed NVIDIA's memory per device at each tier, and the MI350P card gives air-cooled sites a current-generation option. AMD does not publish system power: the server figures here are power supply capacity, which overstates real draw. Its software stack is ROCm, which is open source and not CUDA-compatible without porting.

Intel

Intel's lineup is the thinnest and the most in flux. Gaudi 3 ships today in air-cooled servers at roughly half the price of comparable NVIDIA parts on 2024 figures, but Intel has archived its open-source user-space Gaudi software, and the reported successor is not expected before 2027. The Arc Pro B70 is a low-cost inference card; Crescent Island, the next data center GPU, is only sampling.

Server makers

Most accelerators reach a buyer inside another company's server, and the server maker's documents are often the only place system power and cooling are written down.

Independent references

Figures come from public vendor, server-maker and press sources, last checked on October 7, 2026. How the numbers were sourced