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规格

箱子里有什么?

搭载NVIDIA Jetson Orin Nano超级版,具有67 TOPS的AI性能,8GB内存和512GB存储空间。

完整规格

了解ClawBox硬件的全部信息

🧠

AI性能

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

💾

内存

8GB LPDDR5

102.4 GB/s bandwidth, unified CPU/GPU memory

📀

存储

512GB NVMe SSD

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

⚡

功率

7-25W

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

📡

连接性

WiFi 6 + Bluetooth 5.0

Dual-band 802.11ax, Gigabit Ethernet port

🔌

端口

USB-A, USB-C, HDMI, Ethernet

microSD slot, 40-pin GPIO header

📏

尺寸

100 × 79 × 31mm

Compact carbon fiber case, 260g total weight

AI 模型性能

您可以在 ClawBox 上运行的内容

模型	速度	质量
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

对于较大的模型, 请使用带云API的BYOK(自带密钥)(Claude, GPT, Gemini).

包含内容

硬件

✓ NVIDIA Jetson Orin Nano超级版
✓ 512GB NVMe SSD (预安装)
✓ 碳纤维外壳
✓ 20W USB-C 电源适配器
✓ 以太网和WiFi就绪

软件

✓ Ubuntu 22.04 LTS
✓ OpenClaw 预安装
✓ 浏览器自动化就绪
✓ 语音管道已配置
✓ 免费软件更新

功耗要求

7W 待机

15W 典型值

15W

25W 最大值

25W

附带的20W USB-C电源适配器即可满足您的需求。

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.