Loading...
23 devices found
Tiny and cheap. Runs lightweight forks only.
Request a device to be added to the directory. We'll benchmark it and add compatibility verdicts.
Early 64-bit ARM SBC. 2GB RAM and slow storage limit it to PicoClaw and Nanobot. Cheap but dated.
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.
Budget ARM SBC from Pine64. 4GB RAM is enough for lightweight forks. Decent community support.
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.
The sweet spot for OpenClaw. Genuine headroom for multi-channel messaging and automation.
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.
High-end ARM SBC with RK3588. 16GB RAM and NVMe support make it a serious OpenClaw contender. NPU useful for local inference.
Powerful ARM SBC with 16GB RAM and 6 TOPS NPU. Near-desktop performance for AI workloads.
Google's Edge TPU board for ML inference. 4GB RAM handles lightweight forks. TPU accelerates specific model architectures.
Premium SBC with NPU for AI acceleration. 8GB RAM and fast I/O make it good for OpenClaw with local inference.
Industrial AI SBC with 8 TOPS of neural network acceleration. 4GB RAM supports mid-tier forks. Serious edge AI platform.
x86 SBC with Intel N5105. Full Windows/Linux compatibility. 8GB RAM runs OpenClaw natively without ARM quirks.
AI powerhouse SBC. Can run local models alongside OpenClaw. 22 tokens/sec on 7B models.
Tiny RISC-V SBC. Can run PicoClaw.