Mission control for AI infrastructure
Buy the hardware
the model actually needs.
From a single desktop card to a 72-GPU datacenter rack — Aiza's Assignment 9 Electronics Incorporated shows you the real specs, the real price, and a plain-English reason for every number, so you buy exactly enough hardware and not a dollar more.
Price range
$4,499 – $4.0M
Biggest single build draws
129 homes worth of power
Open-source models advised
3
The hardware line
Five tiers. Real specs. No guessing.
Model advisory
Three frontier open models. Real memory math.
Every recommendation starts with the same question: how much GPU memory does this model actually need? See the math on the Models page.
MIT
GLM-5.2
Z.ai · 744B parameters
Memory needed
893 GB
MIT
DeepSeek V4 (Pro)
DeepSeek · 1600B parameters
Memory needed
1,920 GB
Modified MIT
Kimi K2.7 (Code)
Moonshot · 1000B parameters
Memory needed
1,200 GB