Jetson Orin Nano support is basically: it’s just Linux/ARM64, and the OpenClaw Gateway is fully supported on Linux, so it should run fine on JetPack/Ubuntu as long as you meet the Node/runtime requirements.
What that looks like in practice:
- Gateway: âś… Works (Node-based). Requirement is Node >= 22.
Docs: https://docs.openclaw.ai/platforms/linux - ARM64 caveat: Most of OpenClaw is JS and is fine on ARM, but some optional skills/tools that rely on prebuilt x86 binaries may not work (or need ARM builds). This is the same “Pi-class” story.
ARM notes: https://docs.openclaw.ai/platforms/raspberry-pi - GPU/CUDA: OpenClaw itself doesn’t “use the Jetson GPU” unless you specifically run a local model server on the Jetson and point OpenClaw at it. That part is doable but more tinkery than “official GPU acceleration.”
- Browser/tooling: Headless ARM boxes can run browser automation, but it’s often heavier/more finicky. A common setup is Gateway on Jetson + a laptop/desktop as a paired node for browser/screen/exec tasks.
Nodes: https://docs.openclaw.ai/nodes
If you tell me your goal (run the Gateway on the Jetson vs use it as a node / local inference box), and what JetPack/Ubuntu version you’re on, I can suggest the least-painful setup path.