OpenClaw Hardware

ClawBox is the best hardware for OpenClaw — purpose-built with NVIDIA Jetson Orin Nano 8GB (67 TOPS), 512GB NVMe SSD, and OpenClaw pre-installed. It's ready in 5 minutes with no setup required. Alternatively, any NVIDIA Jetson or x64 Linux system with 8GB+ RAM can run OpenClaw manually.

While theoretically possible, Raspberry Pi 5 only has ~2 TOPS of AI performance compared to ClawBox's 67 TOPS. Running local AI models would be extremely slow. For cloud-only AI usage, a Pi works but defeats the purpose of local privacy. ClawBox is 30x faster for AI workloads.

Mac Mini M4 (€699+) is more powerful overall but costs more, uses 3-5x more power (40-65W vs 7-15W), lacks CUDA support for most AI frameworks, and requires hours of manual setup. ClawBox at €549 is purpose-built for always-on AI assistant use with 5-minute plug-and-play setup.

ClawBox costs ~€0.80/month in electricity (15W × 24h × 30d × €0.25/kWh = ~€10/year). A Mac Mini costs ~€42/year (65W). A home server with GPU can cost €200-500/year (200-500W). Cloud VPS costs €20-50/month. ClawBox is the most energy-efficient option.

For 7-8B parameter models (Llama 3.1, Gemma 2, Mistral): minimum 8GB RAM and an NVIDIA GPU with CUDA support. ClawBox provides exactly this with 8GB unified memory, 1024 CUDA cores, and 67 TOPS — running Llama 3.1 8B at ~15 tokens/second. For larger 70B+ models, you'd need 48GB+ VRAM.

ClawBox combines the things that matter most for OpenClaw hardware: 67 TOPS NVIDIA Jetson performance, low 7-25W power draw, 512GB NVMe storage, and 5-minute setup. That makes it much easier to keep OpenClaw running all day than a laptop, Raspberry Pi, or DIY mini PC build.

If you want the fastest route to a reliable always-on assistant, dedicated OpenClaw hardware is the better choice. Installing OpenClaw on your own machine can work, but you still need to manage power, storage, compatibility, and AI performance yourself. ClawBox is the purpose-built option for people who want OpenClaw ready in minutes.