From a $2,499 desktop card to a $6.5 million datacenter rack.
Pick a model, and we'll tell you exactly what to buy to run it — what it costs, what it needs in memory, and how much power it burns, in numbers you can actually feel.
Shop by tier: desktop to datacenter
Desktop Card
NVIDIA GeForce RTX 5090
The entry point: one card, one PC, real AI power on your desk.
$2,499starting price
Workstation Card
NVIDIA RTX PRO 6000 Blackwell Workstation Edition
Triple the memory of a desktop card, still fits in one machine.
$8,565starting price
Server Card (buy in multiples)
NVIDIA RTX PRO 6000 Blackwell Server Edition
The same chip, built to be racked in multiples — the "build your own cluster" option.
$13,000starting price
Integrated AI Server
NVIDIA DGX B200
Eight GPUs, one machine, wired together with real NVLink — a genuine mini data center.
$515,410starting price
Full Datacenter Rack
NVIDIA GB300 NVL72
72 GPUs, one rack, the top of the line — built to run the biggest models in the world.
$6,500,000starting price
Open-source models we can build for
Apache 2.0 · Open Source
Qwen3.5-397B-A17B
A mixture-of-experts model: 397 billion parameters live in memory, but only 17 billion "activate" per response — which is why it runs faster than its size suggests.
MIT · Open Source
GLM-5.2 (Max)
Currently the highest-ranked MIT-licensed model on the public agent leaderboard — built for multi-step, tool-using AI agents, not just chat.
MIT · Open Source
DeepSeek-V4-Pro
The biggest model in our store: 1.6 trillion parameters. Even though it only "actively thinks" with 49 billion of them per word, every one of the 1.6 trillion has to be held in memory somewhere.