What are the minimum hardware requirements for OpenClaw?

OpenClaw requires at least 4GB RAM, a modern CPU (x86_64 or ARM64), Node.js 20+, and an always-on internet connection. It runs on Linux, macOS, and Windows.

What is the best hardware for OpenClaw?

ClawBox is the recommended hardware — NVIDIA Jetson Orin Nano 8GB with 512GB NVMe SSD, delivering 67 TOPS of AI performance at just 7-15W. It comes with OpenClaw pre-installed for €549.

Can I run OpenClaw on a Raspberry Pi?

Yes, OpenClaw runs on Raspberry Pi 4 (4GB+) and Pi 5. However, for AI workloads like local LLMs, a more powerful device like ClawBox with its 67 TOPS GPU is recommended.

Does OpenClaw require a GPU?

No, OpenClaw works without a GPU for basic assistant features. For local AI model inference, a GPU or NPU significantly improves performance. ClawBox includes a 67 TOPS NVIDIA GPU.

What is the best device for OpenClaw?

ClawBox is the best dedicated device for OpenClaw. It features an NVIDIA Jetson Orin Nano 8GB with 67 TOPS AI performance, 512GB NVMe SSD, and comes with OpenClaw pre-installed for €549. It runs 24/7 at just 7-15W. Alternatives include Mac Mini (more expensive, no GPU acceleration) or a Linux PC with an NVIDIA GPU.

What are the OpenClaw system requirements for local AI models?

For running local AI models with OpenClaw, you need at least 8GB RAM, an NVIDIA GPU with 4GB+ VRAM (or Jetson with unified memory), and 50GB+ storage. ClawBox meets all these requirements out of the box with its 8GB unified GPU memory, 67 TOPS performance, and 512GB NVMe SSD.

Can I build my own computer for OpenClaw instead of buying ClawBox?

Yes, OpenClaw runs on any Linux, macOS, or Windows machine with Node.js 20+. However, building a comparable always-on AI setup typically costs more: a mini PC ($300-500) plus GPU ($200-400) plus SSD plus power costs ($15-30/month). ClawBox at €549 includes everything pre-configured and runs at just 15W (~€3/month electricity).

What is the best mini PC for OpenClaw?

For a mini PC setup, the NVIDIA Jetson Orin Nano is the best choice due to its 67 TOPS GPU acceleration at only 7-15W. The Mac Mini M4 works but costs more ($599+) and lacks dedicated AI acceleration. Intel NUCs and AMD mini PCs work for basic features but can't run local AI models efficiently without a discrete GPU.

ClawBox Spécifications

Qu'y a-t-il à l'intérieur de la boîte ?

NVIDIA Jetson Orin Nano Super avec 67 TOPS de performances IA, 8 Go de mémoire et 512 Go de stockage.

Spécifications complètes

Tout ce que vous devez savoir sur le matériel ClawBox

🧠

Performance IA

67 TOPS

NVIDIA Jetson Orin Nano Super with dedicated AI accelerator

🎮

GPU

1024-core Ampere GPU

625 MHz base clock, 40.96 GB/s memory bandwidth

💾

Mémoire

8GB LPDDR5

102.4 GB/s bandwidth, unified CPU/GPU memory

📀

Stockage

512GB NVMe SSD

PCIe Gen3 x4, 2,100 MB/s read speed, pre-installed

⚡

Alimentation

7-25W

15W typical operation, 20W USB-C PD adapter included

📡

Connectivité

WiFi 6 + Bluetooth 5.0

Dual-band 802.11ax, Gigabit Ethernet port

🔌

Ports

USB-A, USB-C, HDMI, Ethernet

microSD slot, 40-pin GPIO header

📏

Taille

100 × 79 × 31mm

Compact carbon fiber case, 260g total weight

Performances du modèle d'IA

Ce que vous pouvez exécuter sur ClawBox

Modèle	Vitesse	Qualité
Llama 3.1 8B (Q4)	~3.5 tok/s	Excellent
Mistral 7B (Q4)	~4.2 tok/s	Excellent
Phi-3 Mini (Q4)	~6.8 tok/s	Good
Gemma 2B (Q4)	~9.1 tok/s	Fast
TinyLlama 1B (Q4)	~15.3 tok/s	Basic
Qwen2.5 7B (Q4)	~4.0 tok/s	Excellent

Pour les modèles plus grands, utilisez BYOK avec les cloud API (Claude, GPT, Gemini).

Ce qui est inclus

Matériel

✓ NVIDIA Jetson Orin Nano Super
✓ 512GB NVMe SSD (préinstallé)
✓ Boîtier fibre de carbone
✓ Alimentation USB-C 20W
✓ Ethernet & WiFi prêts

Logiciel

✓ Ubuntu 22.04 LTS
✓ OpenClaw préinstallé
✓ Automatisation navigateur
✓ Pipeline vocal configuré
✓ Mises à jour gratuites

Exigences d'alimentation

7W au repos

15W typique

15W

25W maximum

25W

L'alimentation 20 W USB-C incluse est tout ce dont vous avez besoin.

Why Dedicated Hardware for OpenClaw?

Running OpenClaw on dedicated hardware vs shared VPS or your daily-use computer

✓ Dedicated Hardware

✓
24/7 uptime — your AI assistant never sleeps. Heartbeat checks, scheduled tasks, and proactive monitoring run around the clock without interruption.
✓
No resource competition — CPU, GPU, and RAM are 100% dedicated to OpenClaw. No other apps fighting for memory or causing unexpected slowdowns.
✓
Consistent performance — predictable response times for AI inference, voice processing, and browser automation. No “noisy neighbor” problems.
✓
Lower long-term cost — ClawBox at €549 one-time vs VPS at €20-40/month (€720-1,440 over 3 years). The hardware pays for itself in under 2 years.
✓
True privacy — your data stays on your physical hardware, on your network. No cloud provider has access to your conversations, files, or automations.

✗ Shared VPS / Your Laptop

✗
Downtime when you close your laptop — OpenClaw stops when your computer sleeps, restarts, or runs out of battery.
✗
Resource contention — browser tabs, Slack, VS Code all compete with OpenClaw for RAM and CPU. Performance degrades unpredictably.
✗
VPS costs add up — a GPU-capable VPS costs €40-80/month. Over 3 years that's €1,440-2,880 — far more than dedicated hardware.
✗
No local AI inference — most VPS providers don't offer GPU access. You're stuck with cloud API calls only.

The ideal dedicated hardware for OpenClaw: NVIDIA Jetson Orin Nano at just 15W.

67 TOPS of AI performance, fanless operation, always-on by design. ClawBox packages this with a 512GB NVMe SSD, carbon fiber case, and OpenClaw pre-installed — ready in 5 minutes.