OpenClaw Hardware Requirements 2026: Minimum, Recommended, and Production tiers — what you need to run OpenClaw locally
Last updated: May 2026.
OpenClaw hardware requirements are simpler than most people expect — but the difference between "will it run" and "will it run well 24/7" is the reason we wrote this. This is a focused buyer's guide: what the OpenClaw runtime actually needs on the hardware side, where most DIY builds fail, and what the official OpenClaw hardware — ClawBox — ships with out of the box.
The lowest spec where OpenClaw boots, accepts a chat, and responds without crashing.
- CPU: 4-core ARM or x86, 2.0 GHz+
- RAM: 4 GB unified or system memory
- AI acceleration: Optional (CPU-only inference possible with small models)
- Storage: 64 GB, any medium (microSD tolerable for learning)
- Network: 100 Mbps Ethernet or Wi-Fi
- Power envelope: <10 W
- Example: Raspberry Pi 5 (4 GB), Intel N100 mini PC
Realistic experience: 3B-parameter quantized model, 4–8 s first-token latency, single user, no concurrent browser automation. Fine for "I want to see what OpenClaw is."
Where OpenClaw starts to feel like the product it is — responsive, multi-modal, reliable.
- CPU: 6-core ARM or x86, 2.0 GHz+
- RAM: 8 GB unified memory (unified matters — PCIe traffic kills latency)
- AI acceleration: 20+ TOPS dedicated (Hailo-8L, NPU, or integrated Jetson GPU)
- Storage: 256 GB NVMe (not microSD)
- Network: 1 Gbps Ethernet
- Power envelope: 15–25 W
- Example: Jetson Orin Nano 8 GB (DIY), ClawBox
Realistic experience: 7B-parameter quantized model (Llama 3 8B, Qwen 2.5 7B), 0.5–1 s first-token latency, concurrent browser automation, voice transcription in the background. This is the sweet spot for home or single-operator office.
Where OpenClaw can carry a whole team or household without degrading.
- CPU: 8+ core, 3.0 GHz+
- RAM: 16 GB+ unified
- AI acceleration: 60+ TOPS dedicated (Jetson Orin Nano 8 GB Super, Mac Mini M3 Neural Engine)
- Storage: 512 GB NVMe minimum
- Network: 1 Gbps Ethernet (wired is worth it here)
- Power envelope: 15–40 W
- Example: ClawBox (official OpenClaw hardware appliance, €549), Mac Mini M3, DIY Jetson Orin Nano 8 GB Super
Realistic experience: 7B-parameter models with long context, 3–5 concurrent users, simultaneous browser automation + transcription + chat, 24/7 uptime on 15 W.
After shipping hundreds of OpenClaw appliances, we see the same four failure modes in DIY hardware builds:
MicroSD wears out. It also bottlenecks inference when the model weights stream off disk. Use NVMe. Every ClawBox ships with a 512 GB NVMe — and the single most common upgrade a DIY Jetson owner performs is "add NVMe."
Jetson Orin Nano needs a solid 5 V / 4 A or USB-C PD supply. A phone charger works until the GPU spikes during inference, then the whole system resets. ClawBox ships with a matched PSU. DIY builds need one that can deliver 25 W sustained.
Passive cooling is fine at idle. Under sustained inference, an un-sinked Jetson Orin Nano thermal-throttles to half speed within 90 seconds. Either buy a proper heatsink+fan assembly or accept the throttling. ClawBox uses a tuned passive heatsink sized for the 15 W envelope so it stays silent without throttling.
OpenClaw speaks MCP, runs webhooks, and does browser automation. Wi-Fi latency jitter turns cleanly into user-visible lag. Use wired Ethernet for anything production.
| Setup | Meets minimum? | Meets recommended? | Meets production? | Notes |
|---|---|---|---|---|
| Raspberry Pi 5 (4 GB, microSD) | ✅ | ❌ | ❌ | Learning only |
| Pi 5 (8 GB) + Hailo-8L HAT + NVMe | ✅ | ✅ (tight) | ❌ | 13 TOPS ceiling |
| Intel N100 mini PC | ✅ | ❌ | ❌ | No AI accelerator |
| Intel NUC 13 + discrete GPU | ✅ | ✅ | ✅ (power-hungry) | 45 W+ idle |
| Mac Mini M3 (16 GB) | ✅ | ✅ | ✅ | €1,000+, ARM/macOS |
| DIY Jetson Orin Nano 8 GB | ✅ | ✅ | ✅ (with NVMe + PSU) | 8–12 h setup |
| ClawBox (Jetson Orin Nano 8 GB Super) | ✅ | ✅ | ✅ | 5-min setup, €549 |
If you want something that meets the production tier with zero integration effort:
- Silicon: NVIDIA Jetson Orin Nano 8 GB Super (67 TOPS, 1024-core Ampere GPU)
- RAM: 8 GB LPDDR5 unified
- Storage: 512 GB NVMe SSD pre-installed
- Power: 15 W peak, 5–8 W idle
- Network: 1 Gbps Ethernet + Wi-Fi 6
- OS: Ubuntu 22.04 (aarch64) with NVIDIA JetPack, CUDA, TensorRT pre-configured
- Software: OpenClaw pre-installed and tuned to this silicon
- Setup time: 5 minutes (QR code → chat app → done)
- Warranty: 2 years
- Ships to: 108 countries (free EU shipping via DHL Express)
- Price: €549 one-time
Order ClawBox — the official OpenClaw hardware →
Print this and tick boxes before you commit to a build.
- ≥ 8 GB unified RAM (not system + discrete-GPU split)
- ≥ 20 TOPS dedicated AI acceleration
- NVMe SSD for OS and model weights
- Power supply rated for sustained peak (not just idle)
- Cooling tested under 15-minute inference load without throttle
- Wired Ethernet available
- Power envelope ≤ 25 W if running 24/7 (keeps electricity cost sane)
- CUDA 12+ (for Jetson-based) or Metal (for Mac) or OpenVINO (Intel)
- A backup plan for when microSD dies (if you're using one)
If you can't tick most of these, either drop down to the "minimum" tier or skip the DIY route — the official OpenClaw hardware ships with every line already ticked.
Yes — a Pi 5 with 8 GB RAM meets the minimum tier. Add a Hailo-8L AI HAT and NVMe M.2 HAT and you reach the recommended tier, but with a 13-TOPS ceiling. For production OpenClaw usage, pick Jetson Orin Nano 8 GB or ClawBox.
No, but you want dedicated AI acceleration. Integrated NPUs (Jetson, Apple Neural Engine) beat discrete desktop GPUs on power efficiency for edge inference. An RTX 3060 will run OpenClaw fine but pulls 170 W — 11× the ClawBox envelope.
Works if it has 16 GB+ RAM and a reasonably modern CPU. Expect 40–80 W idle, which adds up on 24/7 deployments. The TCO math almost always favors purpose-built edge hardware over a repurposed tower.
Probably yes — as OpenClaw ships larger local models, the 8 GB unified memory bar will feel tight. Buy for the recommended or production tier if you want 3+ years of headroom.
Guide maintained by the team behind ClawBox — the official OpenClaw hardware. Updated roughly every 60 days as silicon and OpenClaw versions evolve.
Read the full guide on ClawBox: OpenClaw hardware requirements — full guide →