Aiza's AI Hardware Co.
Everyone wants to run the big open AI models right now, and they all need serious NVIDIA hardware. The machines are expensive and the spec sheets are written for engineers. We're the store that makes it make sense: pick a model, and we'll tell you exactly what to buy, what it costs, and how much power it burns — in numbers you can actually feel.
Featured hardware
GeForce RTX 5090
RTX PRO 6000 Blackwell Workstation Edition
NVIDIA H200 (SXM5)
NVIDIA DGX B200
NVIDIA GB200 NVL72
NVIDIA GB300 NVL72
See full specs and plain-words explanations for all hardware →
Every number, explained
This is not a normal hardware store. Anyone can list a price. Next to every spec — price, GPU memory, power draw, CPU, RAM — we tell you in plain words what it means and when it actually matters. Start with the hardware catalog if you want to browse, or jump straight to the AI models we support to see exactly what it takes to run each one.
The range we carry
From a $2,400 desktop card (GeForce RTX 5090) up to a $4,000,000 full datacenter rack (NVIDIA GB300 NVL72). Whatever you're trying to run, there's a real, honestly-priced answer somewhere in that range.
Browse all hardware →The three models we advise on
We looked at the world agent leaderboard and picked three big, genuinely open-source models (MIT / Modified MIT licensed). For each one, we show the minimum hardware needed to run it — with the memory math done in the open, right on the page.
Not sure what any of this means yet?
That's the point of the store. Read what a cluster actually is, try the interactive build tool for a scenario-by-scenario recommendation, or compare hardware and builds side by side once you've narrowed things down.