Loading...
Loading...
58 devices found
Cheapest cloud option. 2GB RAM is tight for OpenClaw. Better suited for Nanobot or PicoClaw.
ARM-based cloud instance. Graviton3 is fast and cheap. OpenClaw runs but tight at 4GB. Good for lightweight forks.
Tiny and cheap. Runs lightweight forks only.
Budget ARM SBC from Pine64. 4GB RAM is enough for lightweight forks. Decent community support.
Comfortable cloud instance. OpenClaw runs well with room for services. No local models but all cloud APIs work.
Affordable RISC-V SBC with 8GB RAM. PicoClaw runs natively on RISC-V. OpenClaw works but slower than ARM equivalents.
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.
Budget GPU cloud instance. T4 handles 7B models at ~15 tokens/sec. Good balance of price and capability.
The sweet spot for OpenClaw. Genuine headroom for multi-channel messaging and automation.
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.
Refurbished business desktop repurposed as a server. 8GB RAM runs OpenClaw via cloud APIs. Best bang-for-buck dedicated box.
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.
Classic used ThinkPad. Runs OpenClaw fine as a background service. Great value.
Premium SBC with NPU for AI acceleration. 8GB RAM and fast I/O make it good for OpenClaw with local inference.
Ultra-low-power N100 mini PC. 16GB RAM at $170 is incredible value. Perfect silent always-on OpenClaw server.
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.
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.
Budget x86 mini PC with 12th-gen Intel. 16GB RAM is comfortable for OpenClaw. Good bang for the buck.
Enterprise-grade tiny desktop. ThinkCentre reliability. 16GB RAM and Ryzen 5600GE make it a solid always-on AI host.
Affordable mini PC with desktop-class Ryzen. Great value for a dedicated OpenClaw box.
The original Apple Silicon Mac Mini. Still excellent for OpenClaw. SwiftClaw runs natively. Great used value.
ASUS mini PC with Zen 3+ and RDNA 2 iGPU. Compact and efficient. 16GB RAM handles OpenClaw plus services.
Budget desktop build. No dGPU but 16GB RAM runs OpenClaw via cloud APIs perfectly. Low power for always-on use.
4-bay NAS with x86 power. 8GB RAM and N5095 run Docker containers easily. Good dual-purpose NAS + OpenClaw host.
Powerful mini PC with 12th-gen i7. 32GB RAM and fast NVMe. Can handle multiple agents and services concurrently.
x86 SBC/mini PC hybrid. Dual Ethernet, multiple M.2 slots. Versatile platform for OpenClaw with expansion options.
Top-tier mini PC with Ryzen 7840HS. 32GB RAM and iGPU handle everything including local models. Whisper-quiet.
Upgraded Steam Deck with OLED screen and faster storage. Same APU but better thermals. OpenClaw in desktop mode is smooth.
Ultra-compact x86 mini PC. Silent operation. Perfect always-on OpenClaw server.
OpenClaw runs beautifully. 45 tokens/sec on 7B models. Near-instant responses.
Ultra-small form factor enterprise desktop. 13th-gen i5 with 14 cores. Silent and reliable for always-on operation.
Windows gaming handheld with Zen 4 power. 16GB RAM and RDNA 3 iGPU. Runs OpenClaw natively on Windows or Linux.
Flagship Android with 16GB RAM. Termux + proot-distro gives full Linux. Enough RAM for vanilla OpenClaw in Termux.
Pocket PC with 32GB RAM and Ryzen 6800U. The most capable handheld for AI workloads. Can run local 7B models.
Mid-range gaming/AI PC. RTX 3060 12GB handles 7B models at 30+ tokens/sec. Great value for local AI workloads.
Linux-first ultrabook. Coreboot firmware. 16GB RAM runs OpenClaw natively on Pop!_OS. Great battery life.
Fanless ultrabook with Apple Silicon. 16GB unified memory runs OpenClaw and local 7B models simultaneously. SwiftClaw native.
Workstation-class mini desktop. ISV-certified. 32GB RAM and optional dGPU. Enterprise-grade reliability for production deployments.
Enterprise AMD laptop with Zen 4 and RDNA 3 iGPU. 16GB RAM handles OpenClaw well. Good Linux support.
Premium business ultrabook. 16GB RAM and fast SSD. Runs OpenClaw as a background service while you work. Enterprise-grade build.
Enterprise-grade NAS with Xeon D and ECC RAM. 32GB handles OpenClaw plus ZFS without breaking a sweat.
Entry tower server with Xeon E. 32GB ECC RAM. Reliable 24/7 operation. Good for production OpenClaw deployments.
Premium laptop with discrete GPU. RTX 4060 handles 7B models at 35+ tokens/sec. 32GB RAM is plenty for everything.
Compact server with embedded Xeon D. 64GB ECC in Mini-ITX form factor. Low power for a server. Perfect homelab AI host.
Pro laptop with M3 Pro. 18GB RAM handles 7B models at 50+ tokens/sec. Battery lasts all day even running agents.
Pro desktop powerhouse. 32GB unified memory runs 13B+ models locally. 60+ tokens/sec. Multiple concurrent agents easy.
Cutting-edge GPU cloud. H100 runs 70B models at 100+ tokens/sec. Enterprise-scale AI agent deployment.
Enterprise 2U rackmount server. 64GB RAM handles ClawLixir with thousands of concurrent users. Built for data center ops.
Absurd overkill for OpenClaw. 192GB unified memory can run 70B+ models locally. Runs dozens of concurrent agents without breaking a sweat.
Multi-GPU research cluster. 640GB total VRAM. Runs any model at absurd speeds. Way beyond what OpenClaw needs.
Request a device to be added to the directory. We'll benchmark it and add compatibility verdicts.
Request a Device