OpenClaw hårdvarukrav (2026)

Vad behöver du för att köra OpenClaw?

Från 4GB-minimum till den rekommenderade 67-TOPS-uppsättningen — de specifikationer OpenClaw faktiskt behöver, och den förkonfigurerade boxen där du slipper installationen.

📅 Updated March 2026

With OpenClaw v2026.3.14 and NemoClaw from NVIDIA, hardware requirements have evolved. The minimum specs remain 4GB RAM and Node.js 20+, but for the best experience with browser automation, multi-agent workflows, and voice pipelines, we now recommend dedicated hardware with NVIDIA CUDA support. The Jetson Orin Nano remains the sweet spot — 67 TOPS of AI compute at just 15W, enough for simultaneous LLM inference, browser automation, and voice processing.

Need the recommendation, not just the specs?

This page explains minimum and recommended specs. If you want the final buying answer, read our guide to the best OpenClaw hardware, where we compare ClawBox, Raspberry Pi, Mac Mini, and other always-on AI setups. For the 2026 buying decision — mini PC vs Jetson vs Mac mini vs ClawBox, with real power costs and setup times — see our full comparison guide. Prefer measured numbers over spec-sheet claims? See the real local-LLM benchmark from a production ClawBox — 22–45 tokens/sec at under 20 watts. And if you're still wondering what OpenClaw actually is, our explainer covers the assistant itself before you pick hardware for it.

ClawBox specifikationer

Allt du behöver veta om ClawBox hårdvara

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AI-prestanda

67 TOPS

NVIDIA Jetson Orin Nano Super with dedicated AI accelerator

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GPU

1024-core Ampere GPU

625 MHz base clock, 40.96 GB/s memory bandwidth

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Minne

8GB LPDDR5

102.4 GB/s bandwidth, unified CPU/GPU memory

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Lagring

512GB NVMe SSD

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

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Effekt

7-25W

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

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Anslutning

WiFi 5 + Bluetooth 5.0

Dual-band 802.11ac, Gigabit Ethernet port

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Portar

USB-A, USB-C, HDMI, Ethernet

microSD slot, 40-pin GPIO header

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Storlek

100 × 79 × 31mm

Compact carbon color case, 260g total weight

AI-modellprestanda

Vad du kan köra på ClawBox

Modell	Hastighet	Kvalitet
Llama 3.2 1B (Q4)	~45 tok/s	Fast
Gemma 2 2B (Q4)	~26 tok/s	Good
Qwen2.5 3B (Q4)	~23 tok/s	Excellent
Phi-3 Mini 3.8B (Q4)	~22 tok/s	Excellent
7–8B class (Q4)	~10 tok/s	Tight fit

För större modeller, använd BYOK med moln-API:er (Claude, GPT, Gemini).

Vad ingår

Hårdvara

✓ NVIDIA Jetson Orin Nano Super
✓ 512GB NVMe SSD (förinställd)
✓ Kolfärg-hölje
✓ 20W USB-C strömförsörjning
✓ Ethernet och WiFi-klar

Programvara

✓ Ubuntu 22.04 LTS
✓ Förinställd OpenClaw
✓ Redo för webbläsarautomation
✓ Röstpipeline konfigurerad
✓ Gratis programuppdateringar

Effektkrav

7W viloläge

15W typisk

15W

25W max

25W

Den medföljande 20W USB-C strömförsörjningen är allt du behöver.

OpenClaw serverkrav

Vad en headless, alltid-på OpenClaw-installation faktiskt behöver

Att köra OpenClaw som server — ingen skärm, bara en alltid-på-maskin du når via Telegram eller WhatsApp — är så de flesta faktiskt använder det. Kraven är blygsamma, men de är verkliga: agenten håller en webbläsare, en Node.js-runtime och ofta en lokal modell varma dygnet runt.

Komponent	Minimum	Rekommenderat
RAM	4GB	8GB gemensamt minne (för lokala AI-modeller)
CPU	2 kärnor (x86_64 eller ARM64)	4+ kärnor, eller Jetson med CUDA
Lagring	20GB ledigt	50GB+ NVMe SSD
OS & runtime	Linux med Node.js 20+	Headless Ubuntu LTS, Node.js 20+

En billig VPS klarar minimikraven på pappret, men delade vCPU:er och burstbar RAM räcker inte i praktiken: webbläsarautomation får CPU:n att spika, lokala modeller kräver riktig minnesbandbredd, och drift dygnet runt på hyrd infrastruktur betyder att din agent — och dess data — bor i någon annans moln.

Det förkonfigurerade alternativet: ClawBox är en 67-TOPS Jetson-server med OpenClaw redan installerat, trimmad för exakt den här arbetslasten på 15W. Se vad ClawBox gör →

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.
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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.
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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

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Downtime when you close your laptop — OpenClaw stops when your computer sleeps, restarts, or runs out of battery.
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Resource contention — browser tabs, Slack, VS Code all compete with OpenClaw for RAM and CPU. Performance degrades unpredictably.
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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.
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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 color case, and OpenClaw pre-installed — ready in 5 minutes.

Frequently Asked Questions

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.

What hardware do I need to run OpenClaw?▼

You need a machine with at least 4GB RAM, a modern dual-core x86_64 or ARM64 CPU, 20GB of free storage, Node.js 20+, and an always-on internet connection. Any mini PC, home server, or NVIDIA Jetson meets this. For local AI models, step up to 8GB RAM and a CUDA-capable GPU — or get ClawBox, which ships pre-configured with 67 TOPS at 15W for €549.

What are the OpenClaw server requirements?▼

For a headless OpenClaw server install: 4GB RAM minimum (8GB recommended), 2+ CPU cores, 20GB storage (50GB+ NVMe recommended for local models), and Linux with Node.js 20+. A small VPS can run the basics, but browser automation and local AI inference quickly exhaust shared vCPUs and burstable RAM — dedicated hardware like ClawBox avoids those limits at 15W.

What do I need to run OpenClaw?▼

To run OpenClaw you need: 4GB+ RAM (8GB for local AI models), a modern x86_64 or ARM64 CPU, Node.js 20+, and an always-on internet connection. For local AI inference you also want a GPU or NPU with CUDA support. The simplest option is ClawBox — a €549 NVIDIA Jetson box that ships with everything pre-installed and runs OpenClaw 24/7 in 5 minutes, no setup.

How big is OpenClaw / the ClawBox?▼

OpenClaw itself is lightweight software (a few hundred MB) that runs on small hardware. The ClawBox device is compact — about the size of a paperback book — based on the NVIDIA Jetson Orin Nano, fanless, drawing just 7-15W, so it sits quietly on a desk or shelf and runs OpenClaw around the clock.

Best OpenClaw Hardware →Best Hardware Comparison →ClawBox vs Mac Mini →OpenClaw on Raspberry Pi →OpenClaw on Windows →OpenClaw Tutorial →Setup Guide →Pricing Breakdown →

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ClawBox comes with everything you need — pre-installed, pre-configured, ready in 5 minutes.

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