Samvel's AI Hardware Co.
You want to run one of the world's biggest open-source AI models. We tell you exactly what to buy, what it costs, and how much power it will burn — in numbers a human can actually feel. Every spec on this site comes with a plain-English explanation.
Help Me Choose a Build See the Models We SupportModels we advise on
GLM 5.2 Max
Z.AI · 744 billion parameters
A frontier-scale open-weight reasoning and agent model from Z.AI, released under the permissive MIT license.
Cheapest working build: 12x NVIDIA H100 SXM — $384,000
See the memory math →DeepSeek V4 Pro
DeepSeek · 1,600 billion parameters
DeepSeek's largest open-weight model, built for top-tier agentic and coding performance, released under the permissive MIT license.
Cheapest working build: 24x NVIDIA H100 SXM — $768,000
See the memory math →Nemotron 3 Ultra
NVIDIA · 550 billion parameters
NVIDIA's flagship open-weight model, tuned for enterprise agent workloads, released under NVIDIA's Open Model Development Warranty license.
Cheapest working build: 9x NVIDIA H100 SXM — $288,000
See the memory math →Who we sell to
Running one big model, as cheaply as possible
Pick your model, we hand you the smallest real cluster that can actually hold it.
Start hereSerious capacity, room to grow
One NVIDIA GB200 NVL72 Rack handles any model we sell today, with headroom for tomorrow's traffic — $3,000,000.
See the buildThe Owner
Samvel
USTA Certified Chair Umpire → Tech Student
I am Samvel, a USTA certified Chair Umpire turned tech student based in Southern California. I built this store while learning cloud engineering at 312 School. I picked these three models because they represent the cutting edge of open source AI — the kind of technology I want to help companies run on real hardware. Every number on this page was verified by hand.