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41 devices found
Cheapest cloud option. 2GB RAM is tight for OpenClaw. Better suited for Nanobot or PicoClaw.
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Tiny and cheap. Runs lightweight forks only.
ARM-based cloud instance. Graviton3 is fast and cheap. OpenClaw runs but tight at 4GB. Good for lightweight forks.
Early 64-bit ARM SBC. 2GB RAM and slow storage limit it to PicoClaw and Nanobot. Cheap but dated.
Budget ARM SBC from Pine64. 4GB RAM is enough for lightweight forks. Decent community support.
The classic Pi. 1GB RAM is very tight. Only lightweight forks like PicoClaw and Nanobot are practical.
Raspberry Pi 3B form-factor alternative. 2GB RAM. Budget SBC for lightweight forks.
Affordable RISC-V SBC with 8GB RAM. PicoClaw runs natively on RISC-V. OpenClaw works but slower than ARM equivalents.
Industrial-grade SBC with real-time PRU co-processors. Only 512MB RAM limits it to lightweight forks.
The baseline for running vanilla OpenClaw. Tight but workable.
StarFive's flagship RISC-V SBC. NVMe support is a nice touch. 8GB RAM is enough for OpenClaw if you're patient with RISC-V performance.
Pi 4 in a keyboard form factor. 4GB RAM handles mid-tier forks. Neat self-contained package for a desk setup.
Pine64's RISC-V board with 8GB RAM. Good PicoClaw target. OpenClaw works but RISC-V software ecosystem is still maturing.
Hardkernel's fastest Amlogic SBC. 4GB RAM handles lightweight forks well. Rock-solid stability and mainline Linux support.
Powerful ARM SBC with RK3588S. Better CPU performance than Raspberry Pi 5. NPU for AI inference.
ASUS-quality SBC with RK3399. 4GB RAM and good I/O. Reliable but older chip compared to RK3588 boards.
Budget used Pixel. 6GB RAM runs Nanobot in Termux. Great value dedicated AI phone for $100.
Purpose-built home automation hub with CM4. 4GB RAM can run lightweight forks alongside Home Assistant.
Google's Edge TPU board for ML inference. 4GB RAM handles lightweight forks. TPU accelerates specific model architectures.
Industrial AI SBC with 8 TOPS of neural network acceleration. 4GB RAM supports mid-tier forks. Serious edge AI platform.
Open-source ARM laptop. 4GB RAM limits it to lighter forks. Slow eMMC storage. Great for tinkering.
Popular 2-bay NAS. Runs Docker containers. Can host lightweight forks alongside file storage.
Affordable 2-bay NAS with N5105. 4GB RAM is tight but supports Docker. Good value for combined NAS + lightweight AI hosting.
ARM Chromebook with Linux container support. 8GB RAM runs lightweight forks in Crostini. Limited by ChromeOS sandbox.
4-bay NAS with x86 power. 8GB RAM and N5095 run Docker containers easily. Good dual-purpose NAS + OpenClaw host.
Self-hosting appliance with app store. Pre-installed NVMe. 4GB RAM can run Nanobot or PicoClaw as an Umbrel app.
Popular 4-bay NAS with AMD Ryzen embedded. 4GB RAM is tight but Docker support works. Expandable to 32GB.
Flagship Android tablet. 8GB RAM and Snapdragon 8 Gen 2. Termux runs well. DeX mode provides desktop-like experience.
Google's AI-focused phone. 8GB RAM runs Nanobot in Termux well. On-device ML via Tensor G3 is a bonus.
Flagship Android phone. Termux + proot-distro gives full Linux. Can run vanilla OpenClaw via cloud APIs.
Flagship Android with 16GB RAM. Termux + proot-distro gives full Linux. Enough RAM for vanilla OpenClaw in Termux.
Tiny RISC-V SBC. Can run PicoClaw.
Ultra-low-power microcontroller. Only runs MimiClaw natively.
Sub-$30 Walmart Android phone. Can run Termux + lightweight forks. Surprisingly capable for the price.
OpenWrt travel router. 512MB RAM is tight but Claw++ can run alongside routing. Great for portable AI on the go.
Entry-level HA appliance. Only 1GB RAM severely limits AI agent options. PicoClaw is the only realistic choice.
All-in-one network appliance. 2GB RAM mostly used by UniFi. PicoClaw could run alongside but resources are tight.
Ultra-cheap RISC-V microcontroller. 400KB SRAM. Too constrained for any fork except maybe a future PicoClaw-Lite.
Tiny WiFi-capable MCU. 264KB SRAM. No OS, no fork compatibility. Could be an I/O peripheral for a larger system.
Industrial-grade Arduino with 8MB SDRAM. Runs MicroPython. Too constrained for real AI agents but useful as a sensor gateway.
Flagship iPhone with A17 Pro. SwiftClaw runs natively. No Termux equivalent but native Swift apps work beautifully.