37 open-source models · benchmarked on every build

Stop renting. Start training.inferring.rendering.creating.

Multi-brand AI workstations — from 128 GB unified-memory cubes to 8×H100 liquid-cooled monsters. Every unit ships with the open-source model stack preinstalled: Llama, DeepSeek, FLUX and Wan run on day one. And we'll show you the month your machine pays itself off against RunPod.

FIG. 01  BIZON G3000 G24× RTX 5090 · 128 GB
0
Machines · configured
0
Max VRAM config
0
Brands · curated
0
Models verified
02 — What can I actually run?

The VRAM ladder

Drag the slider. Watch which open-source models fit — and which of our machines carry them. Numbers are real: quantized weights (Q4) for LLMs, FP16 for image/video.

48 GB

4 GB24 GB80 GB192 GB1.2 TB

LLMs · Q4 quantized

Image generation · FP16

Video generation · FP16

Machines that qualify
03 — Own vs rent

When does your machine pay for itself?

Same GPUs, same workloads — the only difference is who owns the silicon. Compare against live RunPod rates and see your break-even date.

Include my electricity cost
Use RunPod Community Cloud (cheaper, ephemeral)
Break-even in
—

—

Renting costs
—
You keep
—
3-year net vs rent
—

Cumulative cost · 36 months

Own Rent on RunPod

Rent = RunPod on-demand hourly rate × GPUs × your usage hours. Own = purchase price + electricity at your rate. RunPod rates updated Oct 2026 from runpod.io/pricing; adjust the sliders to your real workload. Taxes & shipping excluded.

Get the machine →
04 — Why AI Desk Store

A workstation is a relationship, not a parcel

Ships model-ready

CUDA/ROCm drivers, llama.cpp, vLLM, ComfyUI and Ollama preinstalled — plus one-click launchers for all 22 benchmarked models. Unbox to first token in 15 minutes.

Multi-brand, zero lock-in

Corsair, Bizon, ASUS and iBUYPOWER side-by-side, spec-for-spec. We recommend by workload, not by margin — and publish the numbers to prove it.

3-year warranty

Every build carries a 3-year parts & labor warranty with advance replacement on workstations. Liquid loops serviced by certified techs.

Payback, quantified

The break-even calculator on this page uses real RunPod rates. We'll tell you the month your rig pays for itself — before you spend a cent.

05 — Questions

Everything people actually ask

Which machine should I buy to run 70B-class LLMs?
Llama 3.3 70B at Q4 needs ~42 GB of VRAM. That means the Corsair AI Workstation 300 (96 GB allocatable) as the entry point, an RTX 5090 build like the Element 9 Pro (32 GB, runs the 8B–32B class beautifully), or the Bizon G3000 with 4× RTX 5090 for FP16 speed. The Model Matrix lists exact requirements per model.
How accurate is the break-even calculator?
We use RunPod's published on-demand rates (Oct 2026) for Secure and Community Cloud, multiplied by your GPU count and usage hours, minus your electricity at your own $/kWh rate. It's an honest planning tool, not marketing math — taxes, shipping and idle days are excluded, so treat the result as a conservative midpoint.
Do I need a 30 A circuit for the big Bizon rigs?
The ZX5500 draws up to 2.2 kW and the ZX9000 up to 2.8 kW under full training load — a dedicated 20 A/230 V or 30 A/120 V circuit is recommended. The liquid-cooled chassis are surprisingly quiet (~45 dBA), but plan your outlet before the crate arrives. Everything from the Corsair 300 to the iBUYPOWER towers runs on a normal wall socket.
What's the return policy?
30-day no-questions returns on unopened units; 14 days on opened configurations with a 10% restock fee, minus any damage. Custom Bizon multi-GPU builds are final sale once the liquid loop is assembled — that's why we make you confirm the config twice. Full terms are on the legal page.
Can you add a GPU later?
Yes on air-cooled towers — the iBUYPOWER Threadripper PRO and Bizon G3000 leave slots, PSU headroom and PCIe lanes for a second (or third) card. The Corsair and ASUS cubes use soldered unified memory and cannot be expanded; that's the trade for the size and silence. Water-cooled ZX builds are expandable only at the factory.
How do payments and shipping work?
Checkout is handled by Stripe with 3-D Secure; we never see your card. Free insured freight in the continental US on everything, double-boxed with GPU braces. Worldwide shipping quoted at checkout for the cubes and towers; multi-GPU Bizon rigs ship via freight forwarder of your choice. Tracking within 24 h of dispatch.

Your GPU hours are compounding either way

In someone else's datacenter, or on your desk. One of those builds equity.

Pick your machine →