ClawBox

Name: ClawBox
Brand: ClawBox

ClawBox

A dedicated 20W AI appliance that runs a local agent continuously, with no discrete GPU.

Product image / ClawBox

Design score

9.2/10

Scoring method ↗

Evidence statusSpecs not independently verifiedclawbox.com

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GPU: NVIDIA Ampere
RAM: 8GB LPDDR5 unified memory
SoC: NVIDIA Jetson Orin Nano 8GB
TDP: 7–15W

The decision

Where it wins

Around 20W continuous draw makes always-on genuinely practical
Dedicated appliance, no general-purpose OS to maintain
Runs entirely locally — nothing leaves the house

Where it doesn't

Locked to its own model rather than anything you want to load
Requires real networking competence to integrate
Nowhere near the capability of a local-inference workstation

Ideal forHome Assistant and local-automation usersSelf-hosting householdsAnyone who wants persistence more than peak capability

02 / Technical record

Specifications

Structured product data, grouped by system.

Core hardware04

GPU	NVIDIA Ampere
Processor	NVIDIA Jetson Orin Nano
Clock Speed	Up to 1.5 GHz
Architecture	64-bit ARMv8.2

Memory & compute04

RAM	8GB LPDDR5 unified memory
Memory & Storage	8GB LPDDR5, 512GB NVMe SSD
Memory Bandwidth	68 GB/s
Performance Benchmarks / Memory Usage	~4GB typical AI model memory footprint

AI & acceleration02

CPU Cores	6-core ARM Cortex-A78AE
CUDA Cores	1024

Power & thermal03

TDP	7–15W
Power	7-15W, 20W power adapter (included), 90%+ efficient
Performance Benchmarks / Power Draw	12W avg under normal AI workload

Physical & connectivity01

Connectivity	Gigabit Ethernet, Wi-Fi 5 (802.11ac), Bluetooth 5.0, 4x USB 3.0, 1x USB-C

Other specifications08

SoC	NVIDIA Jetson Orin Nano 8GB
Storage	512GB NVMe SSD
Precision	FP16, INT8, INT4
Monthly Cost	~€2-3 electricity
AI Performance	67 TOPS (INT8)
Compatible With	+ Llama, Mistral, and other LLMs, + Home Assistant integration, + MQTT for IoT devices, + REST APIs and webhooks, + Custom Python skills
Performance Benchmarks / Boot Time	<60s from power on to ready
Performance Benchmarks / AI Inference	<100ms response latency for typical queries

Evidence / qualification

Read the record

Specs not independently verifiedclawbox.com

Source on record: clawbox.com

Editorial context

ClawBox effectively opened a category: the AI appliance. The premise is that the interesting thing about a home agent is not raw capability but persistence — something that listens and acts around the clock without you thinking about it. Twenty watts makes that economically sensible in a way an always-on workstation never is, and running a dedicated appliance rather than a general-purpose OS removes an entire class of maintenance. The honest limits are scope and setup: it runs its model, not whatever you feel like loading this week, and getting it usefully wired into a home requires real networking competence. This is not a replacement for a local-inference workstation — it is the opposite trade, capability given up in exchange for something you can actually leave running.

ClawBox effectively opened a category: the AI appliance. The premise is that the valuable thing about a home agent is not peak capability but persistence — something that listens and acts around the clock without you managing it. At around 20W continuous draw, that is economically sensible in a way an always-on workstation never is.

What the design choice buys

Running a dedicated appliance instead of a general-purpose OS removes an entire class of maintenance — no updates to babysit, no drift, no "why did it stop." Everything runs locally, so nothing leaves the house.

The honest limits

Scope. It runs its model, not whatever you feel like loading this week.
Setup. Wiring it usefully into a home network takes real competence — this is not plug-and-play for most households.
Capability. It is nowhere near a local-inference workstation, and it is not trying to be.

This is the opposite trade from a GPU box: you give up capability in exchange for something you can actually leave running and forget.

Who should buy

Home Assistant and local-automation users, self-hosting households, and anyone who values a persistent local agent more than raw model quality. If you want to experiment with different models, buy a workstation instead.

Frequently Asked Questions

Who is ClawBox for?↓

ClawBox is a fit for home Assistant and local-automation users, Self-hosting households and Anyone who wants persistence more than peak capability.

What are the drawbacks of ClawBox?↓

The trade-offs we record are: Locked to its own model rather than anything you want to load, Requires real networking competence to integrate and Nowhere near the capability of a local-inference workstation.

What does ClawBox do well?↓

Around 20W continuous draw makes always-on genuinely practical, Dedicated appliance, no general-purpose OS to maintain and Runs entirely locally — nothing leaves the house.

What is the Fathom Layer design score for ClawBox?↓

ClawBox scores 9.2 out of 10. The score is assigned by a human against published criteria and placement is never sold — see the methodology page for how it is built.

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