Single GPU — Serious Local AI Power
An Intel Xeon workstation paired with a dedicated Nvidia GPU — 5–15× faster inference than CPU-only, GPU-accelerated image generation, and 24/7 agent capability in a reliable server-grade chassis.
Price
$2,000
40–80
tokens / sec
Dedicated GPU
~8–15s
per image
65–125W
power draw
Sweet spot for: developers • small businesses • researchers • home power users • anyone wanting serious GPU speed on a server-grade chassis
Key Advantages
- 5–15× faster model inference vs CPU-only
- Nvidia RTX 2060 or better — 8–24 GB VRAM configurable
- Intel Xeon server-grade CPU — reliable, proven chassis
- GPU-accelerated image generation (3–10 seconds per image)
- 24/7 agent capability — always on, low idle power
Technical Overview
| CPU | Intel Xeon (multi-core · server grade) |
|---|---|
| GPU | Nvidia RTX 2060 – RTX 4090 (8–24 GB VRAM, configurable) |
| RAM | 16 GB ECC DDR4 |
| Storage | 512 GB – 1 TB NVMe SSD |
| Inference speed | ~40–80 tok/s (GPU accelerated) |
| Image generation | ~3–10 seconds per image (GPU) |
| Power consumption | 150–350 W under load |
| OS | Linux (Ubuntu pre-configured) |