Real hardware · Real prices · Real power numbers

AI hardware, without the guesswork.

From a single desktop GPU to a full liquid-cooled datacenter rack — every product on this site has a verified price, a verified memory spec, and a verified power draw. No invented numbers.

The Full Line

From one card to one rack

Every tier of AI compute, in one catalog.

1 / 5

Desktop GPU

Consumer-grade cards for prototyping and light inference.

2 / 5

Workstation GPU

Pro-grade cards with datacenter-class memory in a desktop form factor.

3 / 5

Server GPU

Datacenter GPUs built for training and large-scale inference.

4 / 5

Single Server

Fully integrated multi-GPU systems in one chassis.

5 / 5

Multi-Server Rack

Multi-server, rack-scale systems wired as one giant compute pool.

Featured Hardware

What people are buying right now

Desktop GPU

NVIDIA GeForce RTX 5090

The fastest card you can put in a desktop tower.

Price$4,329
Memory32 GB GDDR7
Power575W
Server GPU

NVIDIA H200

Same Hopper compute as the H100, with far more memory.

Price$34,995
Memory141 GB HBM3e
Power700W
Single Server

NVIDIA DGX B200

NVIDIA's own turnkey 8-GPU Blackwell appliance.

Price$450,000
Memory1,440 GB total GPU memory (8 × 180 GB)
Power14300W
Multi-Server Rack

NVIDIA GB200 NVL72

A full datacenter rack, wired as one giant GPU.

Price$3,000,000
Memory13.5 TB unified memory (72 Blackwell GPUs + 36 Grace CPUs)
Power120000W
AI Models

5 open-source models, real memory math

See exactly how many gigabytes of GPU memory GLM 5.2, DeepSeek V4 Pro, Kimi K2.6, Minimax M3, and Nemotron 3 Ultra actually require — and which hardware clears the bar.

View Models →
Build Advisor

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