Run language models, voice recognition, and text-to-speech entirely on local hardware. No cloud. No subscriptions. No data leaving your building. Ever.
✓ 30-day money-back guarantee · Free EU shipping · 5-min setup
Cloud AI sends every prompt to remote servers. An offline AI device keeps everything on hardware you physically control.
An offline AI device is a self-contained computer that runs artificial intelligence models entirely on local hardware, with no internet connection required. Unlike cloud-based AI services like ChatGPT or Claude that send your data to remote servers for processing, an offline AI device performs all computation on its own GPU and memory. The result is an AI assistant that works in complete isolation from the internet.
This matters more than most people realize. Every time you type a prompt into a cloud AI service, that text travels across the internet to a data center, gets processed on shared infrastructure, and the response travels back. Your prompts, documents, and conversations are stored on servers you don't control. For personal use, that trade-off might be acceptable. For businesses handling sensitive data, medical records, legal documents, or classified information, it's a non-starter.
ClawBox is an offline AI device built on the NVIDIA Jetson Orin Nano platform. It ships pre-configured with OpenClaw and a full stack of AI models that run without any network connection:
ClawBox runs the full AI stack locally: Llama 3.1 8B for text generation and reasoning, Whisper for speech-to-text transcription, Kokoro for natural-sounding text-to-speech, and Stable Diffusion for image generation. All models are pre-loaded on the 512GB NVMe SSD. The NVIDIA Jetson Orin Nano's 67 TOPS of AI compute handles inference at 15 tokens per second — responsive enough for real-time conversation.
Setup takes five minutes. Plug in power, open your browser to clawbox.local, and scan a QR code to connect via Telegram, WhatsApp, or Discord. If you want true air-gap operation, skip the messaging integration entirely and use the local web interface. The device draws just 15 watts — less than a standard LED light bulb — making it viable for continuous operation on solar panels or battery backup systems.
The key difference between ClawBox and a DIY offline setup: ClawBox works out of the box. Building your own offline AI device from a Jetson board means hours of driver installation, model optimization, quantization tuning, and service configuration. ClawBox ships with everything pre-configured and tested, so you get a working offline AI device in the time it takes to unbox it.
Built on NVIDIA Jetson Orin Nano Super — designed for edge AI at the lowest power envelope.
No Linux knowledge required. No Docker. No terminal. Just plug in and go.
Connect power and ethernet (or WiFi). The offline AI device boots automatically in under 30 seconds.
Navigate to clawbox.local in your browser. No IP address hunting — mDNS handles discovery.
Connect via Telegram, WhatsApp, or Discord. Or use the local web UI for full air-gap operation.
All AI models are pre-loaded. Ask questions, transcribe audio, generate text — fully offline from moment one.
See how an offline AI device stacks up against cloud services and DIY builds.
| Feature | ClawBox | Cloud AI (ChatGPT+) | DIY Jetson Build |
|---|---|---|---|
| Price | €549 one-time | €20-50/month forever | €400-900 + 10-20h labor |
| Offline capable | ✓ 100% offline | ✗ Internet required | ✓ With effort |
| Data privacy | ✓ Air-gapped | ✗ Data on their servers | ✓ If configured right |
| Setup time | 5 minutes | Instant (but online) | 10-20 hours |
| 24/7 always-on | ✓ 15W idle | ✗ Manual sessions | Depends on build |
| Voice AI offline | ✓ Whisper + Kokoro | ✗ Cloud only | Manual setup |
| Support included | ✓ Email + community | ✓ Limited | ✗ You're alone |
€549 one-time. No subscriptions. No cloud. 30-day money-back guarantee. Ships in 1-3 business days.
Order ClawBox Now →Questions? Email yanko@idrobots.com
See setup steps, internal FAQs, buyer questions, and practical advice for offline ai device before you commit to a local AI hardware stack.
Open the Offline AI Device guide