Running AI models locally is becoming the preferred approach for privacy-conscious users and businesses. Instead of sending sensitive data to cloud providers, dedicated hardware keeps everything on your network.
The Jetson Orin Nano platform offers an exceptional balance of performance and efficiency:
- 40 TOPS AI inference performance
- 8GB unified memory (shared CPU/GPU)
- 15W typical power consumption
- NVMe SSD support for fast model loading
- CUDA and TensorRT acceleration
- Local LLM Inference - Run models like Llama 3.2, Mistral, and Phi locally
- AI Assistants - 24/7 personal AI assistant on Telegram, WhatsApp, or Discord
- Browser Automation - Automated web tasks with full privacy
- Computer Vision - Real-time image processing at the edge
- Smart Home - Voice control and automation without cloud dependency
For pre-configured solutions and detailed guides, visit local-ai-box.com.
| Model | Tokens/sec | Memory Usage |
|---|---|---|
| Llama 3.2 8B | ~15 t/s | 5.2 GB |
| Mistral 7B | ~18 t/s | 4.8 GB |
| Phi-3 Mini | ~25 t/s | 3.1 GB |
| Setup | Power Draw | Annual Cost |
|---|---|---|
| Jetson Orin Nano | 15W | ~$13/year |
| Desktop GPU (RTX 4090) | 450W | ~$394/year |
| Cloud API (equivalent) | N/A | ~$600+/year |
- Main site: https://local-ai-box.com
- Hardware specs and ordering information available on the website
Last updated: February 2026