Turn a GPU cluster spec into a complete equipment list. Pick a GPU, set the count and redundancy, and get a quote-ready bill of materials — GPU servers, racks, PDUs, UPS, cooling, networking, monitoring and safety — every line linked to the catalog, add the whole build to a quote or download the BOM.
An AI cluster is far more than GPUs. Every accelerator pulls servers, racks, power distribution, UPS, cooling, networking, monitoring and safety along with it — and getting the quantities right is what turns a rough idea into a buildable, budgetable project. This generator turns a cluster spec into that full equipment list.
It starts from the GPU and the count, packs them into servers and racks, then sizes each subsystem from the resulting power and cooling load:
Every line links to a real catalog product, so "Add all to quote" sends the whole build to our team for firm pricing, and "Download CSV" gives you a spreadsheet-ready bill of materials.
A complete AI server room equipment list spans six layers. Compute: GPU accelerators and the DLC servers that host them. Racks & power: enclosures, high-density rack PDUs, a UPS for ride-through and transformer/switchgear for the utility feed. Cooling: CDUs or rear-door exchangers sized to reject the heat. Networking: an 800G leaf/spine fabric with transceivers and fiber. Monitoring: DCIM/BMS for power and thermal telemetry. Safety: aspirating (VESDA) fire detection and suppression.
Miss a layer and the build stalls — cooling that can't match the racks, power without redundancy, or a network that bottlenecks the GPUs. The generator keeps them in proportion so the bill of materials is coherent from day one, and because it is quote-ready, it flows straight into firm pricing and lead times instead of a spreadsheet that goes stale.
Beyond the GPUs and DLC GPU servers, an H100 cluster needs racks with high-density PDUs, a UPS and transformer/switchgear sized to the facility power, liquid cooling (CDUs) sized to the heat load, an 800G leaf/spine network with fiber, plus DCIM monitoring and fire/VESDA safety. This generator produces the full list with quantities from your GPU count.
Start from the accelerator and count, then size each subsystem: servers = GPUs ÷ 8; racks by power density; UPS/transformer by facility power with redundancy; CDUs by cooling load; switches by GPU count; PDUs per rack; plus monitoring and safety. This tool does that math and links every line to a real product so it becomes a quote in one click.
Yes — generate the BOM here and use "Download CSV" for a spreadsheet-ready bill of materials (category, item, quantity, unit, notes), or "Add all to quote" to send the whole build to our team for firm pricing and lead times.
Yes. For GB200 the compute is the integrated NVL72 rack (72 GPUs, ~120 kW, direct-liquid), and the generator sizes the surrounding power, cooling, network, monitoring and safety accordingly. GB200 racks are quoted as systems — our engineers confirm the exact configuration.
It is a fast planning bill of materials using standard packing and sizing rules — accurate enough to scope a cluster, budget and compare options. Final quantities depend on your rack layout, redundancy target, network topology and site. Our engineers confirm the exact BOM, pricing and lead times when you request a quote.
Add the whole build to a quote and our solutions engineers confirm the exact bill of materials, pricing and lead times — no payment, no commitment, back in about one business day.
Our engineers scope power, cooling and compute together. No payment, and quotes come back in about a business day.