First Serious Leap into GPU-Accelerated Local AI
Affordable dedicated GPU power — 3–5× faster inference than CPU-only systems.
Excellent balance of price, performance and open-source AI compatibility.
Price
$2,000
Sweet spot for: developers • AI hobbyists • researchers • small teams • anyone wanting real speed without NVIDIA pricing
Key Advantages
- 3–5× faster model inference vs CPU-only
- Runs 7B–70B models comfortably with shared 32 GB RAM
- Linux (recommended) or Windows – developer friendly
- Very power efficient (65–125 W under load)
- Great open-source AI tool support (better than AMD in many cases)
Technical Overview
| Processor | Intel Core Ultra (14-core) |
|---|---|
| GPU | Integrated Intel Arc Graphics (8 Xe-cores) |
| RAM | 32 GB DDR5 |
| Storage | 1 TB NVMe SSD |
| Models supported | All open-source (7B–70B comfortable) |
| Image generation | ~8–15 seconds per image |
| Power consumption | 65–125 W under load |
| OS options | Linux (Ubuntu pre-configured) or Windows 11 |