Extreme

Next-Gen AI Workstation

The fastest single GPU, built around the new RTX 5090

$3,843

8 components Β· 32 GB VRAM Β· 6 compatible models

VRAM

32 GB

TDP

700W

Noise

~35dB

Models

6

Tier

Extreme

The Heart of This Build

NVIDIA GeForce RTX 5090 32GB

$2,199

32GB VRAM, Blackwell architecture. Top consumer GPU for AI inference and training.

Buy used: save ~$770
Parts

8 components, $3,843 total

Estimated prices. Actual retail may vary by region. Some links may earn a small affiliate commission.

The Rest of the Build

cpu

AMD Ryzen 9 9950X

16-core Zen 5. Handles preprocessing, multi-model workflows, and heavy compilation.

$549
Where to buy
motherboard

ASUS ProArt X870E-Creator WiFi

ProArt platform for creators. PCIe 5.0, robust power delivery, dual M.2.

$449
Where to buy
ram

64GB DDR5-6000 (2x32GB)

64GB for large model loading and multi-tasking.

$129
Where to buy
storage

2TB Samsung 990 Pro NVMe

Fast PCIe 4.0 NVMe. 2TB holds many models and datasets.

$159
Where to buy
psu

Corsair HX1200i 1200W 80+ Platinum

1200W for RTX 5090 headroom. Platinum efficiency, digital monitoring.

$249
Where to buy
case

Fractal Design Torrent

Exceptional airflow. Fits large GPUs and coolers.

$189
Where to buy
cooler

Noctua NH-D15 chromax.black

Dual-tower air cooler. Quiet, reliable, no AIO maintenance.

$109
Where to buy
Runs
Compatibility

What This Build Can Run

6 AI models benchmarked on this exact hardware configuration.

Fastest Model
120tok/s

Fast

3Fast (40+ tok/s)
1Usable (12–24 tok/s)
2Slow (<12 tok/s)
Next Step

Upgrade Path

This is the current consumer peak. Multi-GPU via a second RTX 5090 requires a different motherboard and PSU.

Built For

Target Use Cases

ChatCodingAI codingAI buildingImage genReasoningMulti-purpose

Want to tweak this build?

Open it in the configurator to swap components, check compatibility, and see what models you can run.

Customize This Build

Prices are estimates and may vary by retailer and region.