Real NVIDIA Hardware · Real Prices · No Upsell

Emil Ostafiiciuc's
Store

From a $2,400 desktop card to a $6.5 million datacenter rack.
We guide you to the right build — and teach you what you're buying.

$2,399 Starting price
10 Hardware tiers
3 Open models supported
22.5 TB Max GPU memory

Hardware for every scale

Every product in our catalog is real NVIDIA hardware with real specs and real prices. We don't upsell. We don't hide costs. The number you see is what you pay.

💻

Desktop

RTX 4090 · RTX 6000 Ada
$2,399 – $6,800

See desktop cards →
🖥

Data Center GPUs

L40S · H100 · H200
$22,000 – $45,000 per card

See data center GPUs →

DGX Systems

DGX H100 · DGX H200
$300,000 – $450,000

See DGX systems →
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Full Racks

SuperPOD · MGX Full Rack
$3.5M – $6.5M

See full racks →

Know before you buy

For each model we show the minimum hardware required to run it. The math is simple and visible: parameters in billions × 1 GB, plus 20% working room.

GLM 5.1
Z.ai · MIT · SiliconFlow
9B
params

A capable, compact general-purpose chat and reasoning model. Fast to serve, cheap to run. Ideal for embedded applications, internal tools, and cost-sensitive production.

Memory Math
Base (9B × 1 GB) 9 GB
Working room (+20%) + 2 GB
Minimum VRAM needed 11 GB
Full model details →
GLM 5.2 (MAX)
Z.ai · MIT · SiliconFlow
130B
params

The full-power GLM 5.2. Competitive on benchmarks with leading proprietary models. Strong multilingual reasoning, advanced coding, enterprise automation.

Memory Math
Base (130B × 1 GB) 130 GB
Working room (+20%) + 26 GB
Minimum VRAM needed 156 GB
Full model details →
Kimi K2.7 Code
Moonshot · Modified MIT · Fireworks
671B
params

A massive Mixture-of-Experts coding model. State-of-the-art on code generation and agentic tasks. This is where serious infrastructure investment pays off.

Memory Math
Base (671B × 1 GB) 671 GB
Working room (+20%) + 135 GB
Minimum VRAM needed 806 GB
Full model details →

Help Me Choose

Answer a few questions about your situation. We'll walk you to the right build with the total price, power consumption, and everything you need to know.

🚀

I'm a Startup

You want to run one big open model for your product as cheaply as it can honestly be run. We'll get you there without overselling.

  • ✓ Minimum viable hardware
  • ✓ True running costs
  • ✓ No datacenter needed (for the right model)
Startup Path →
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We're Growing Fast

More users, more traffic. You need serious capacity and room to scale. We'll walk you through builds that grow with you.

  • ✓ Production-grade redundancy
  • ✓ Cluster-ready from the start
  • ✓ Power and facility planning
Mid-size Path →

What the numbers actually mean

Every build on this site shows watts. Here's what those watts mean in everyday terms — because a 10,200-watt DGX H200 shouldn't surprise you on your first electric bill.

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1,200 W
An average home, always on
🚘
90 kWh
A typical electric-car battery
💻
450 W
RTX 4090 — 0.4 homes
🖥
700 W
H200 — 0.6 homes per card
10,200 W
DGX H200 — 8.5 homes
🏢
204,000 W
Full rack — 170 homes

From desktop to datacenter

Entry
NVIDIA GeForce RTX 4090
24 GB GDDR6X
450 W
$2,399
Request Quote
Pro
NVIDIA RTX 6000 Ada
48 GB GDDR6 ECC
300 W
$6,800
Request Quote
Inference
NVIDIA L40S
48 GB GDDR6 ECC
350 W
$22,000
Request Quote
Data Center
NVIDIA H100 PCIe 80 GB
80 GB HBM3
350 W
$30,000
Request Quote
SXM High-BW
NVIDIA H100 SXM5 80 GB
80 GB HBM3e
700 W
$40,000
Request Quote
Flagship
NVIDIA H200 SXM5 141 GB
141 GB HBM3e
700 W
$45,000
Request Quote

Ready to move forward?

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