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专用 AI 与 DIY

ClawBox vs 树莓派 5 用于 AI 工作负载

树莓派是一款出色的通用主板。但对于需要 24/7 运行的 AI 本地推理,ClawBox 提供了 33 倍的 AI 计算能力 — 专门为此而设计,而不是拼凑而成。

ClawBox vs Raspberry Pi 5

性能差距

AI 计算能力以 TOPS(每秒兆亿次运算)为单位测量

🦞 ClawBox (Jetson Orin Nano Super)67 TOPS
67 TOPS — 1024-core NVIDIA Ampere
🍓 Raspberry Pi 52 TOPS
~2 TOPS
33×更高的 AI 计算能力
由 NVIDIA 驱动

ClawBox — Llama 3.1 8B

~5 tok/s

可用对话速度

Raspberry Pi 5 — Llama 3.1 8B

~0.5 tok/s

极其缓慢 (仅限 CPU)

DIY 的隐藏成本

树莓派 "成本 €80" 但这仅仅是主板...

🍓 树莓派 5 购物清单

树莓派 5 (8GB)€80
NVMe HAT + SSD (256GB)€35
外壳 + 散热器/风扇€15
电源 (27W USB-C)€12
microSD 卡 (用于启动)€8
小计 (硬件)~€150
+ 您的周六 (安装时间)3-5 hours

仍然没有 CUDA、没有 GPU 加速、塑料外壳

ALL-IN-ONE

🦞 ClawBox — 一应俱全

NVIDIA Jetson Orin Nano Super (67 TOPS)
512GB NVMe SSD (预先安装)
碳色外壳
电源 (20W)
预先配置的 OpenClaw
浏览器自动化就绪
5 分钟设置
Total€549

碳色、NVIDIA CUDA、5 分钟内就绪

您的周六值 €249 吗?

完整对比

Feature
ClawBox
🍓 RPi 5
🧠AI 性能67 TOPS约 2 TOPS (仅 CPU)
🎮GPU1024核心 NVIDIA AmpereVideoCore VII (无 CUDA)
💾内存8GB LPDDR5 (统一内存)8GB LPDDR4X
📀存储包含 512GB NVMe SSDmicroSD (需另行购买)
🤖运行 7B LLM约每秒5个标记约每秒0.5个标记
⚙️CUDA 支持完整的 CUDA 工具包
功耗15-25W5-12W
💰总价€549 (全套)约 €150+ (主板 + 其他配件)
📦预先配置是的,即开即用需手动设置
💬消息传递Telegram · WhatsApp · Discord手动设置
🌐浏览器自动化全速运行缓慢/受限
🎙️设备上的语音管道Whisper 语音转文字 + Kokoro 文字转语音 (在张量核心上运行)太慢无法实时运行
📡连接性双频 WiFi + 蓝牙 5.0WiFi + 蓝牙(需要帽子才能使用某些功能)
🏗️外壳包含碳色外壳需单独购买(塑料外壳)

选择 ClawBox

专业级 AI 助手

  • 您需要一个 24/7 运行的专用 AI 助手
  • 您需要本地 LLM 推理(注重隐私)
  • 您需要即插即用,不需要花费大量时间进行配置
  • 您需要 CUDA 来运行 ML/AI 工作负载
  • 您需要真正的 GPU 加速 AI,而不是 CPU 推理

选择树莓派

通用目的服务器

  • 预算是最高优先事项
  • 您只需要基于云的AI(API调用)
  • 您需要一台通用服务器(Pi-hole、Home Assistant)
  • 最低功耗是最重要的

Compare Raspberry Pi against the full OpenClaw hardware field

Raspberry Pi is only one end of the spectrum. For the full picture, including ClawBox, Mac Mini, cloud VPS setups, and what counts as the best OpenClaw hardware for different budgets, continue to the main hardware guide.

See the best hardware for OpenClaw

Frequently Asked Questions

How much faster is ClawBox than a Raspberry Pi 5 for local AI?

ClawBox is built on the NVIDIA Jetson Orin Nano Super, which delivers about 67 TOPS of AI compute from a 1024-core Ampere GPU. The Raspberry Pi 5 has no AI accelerator and manages roughly 2 TOPS on its CPU — so ClawBox has about 33× more AI compute. In practice, running Llama 3.1 8B, ClawBox produces around 5 tokens/sec versus roughly 0.5 tokens/sec on a Pi 5, which is the difference between a usable assistant and an unusably slow one.

What AI models can a Raspberry Pi 5 run, and what can ClawBox run?

A Raspberry Pi 5 can technically load small quantized models (1B–3B parameters like Gemma 2B or Phi-3 Mini) but only at painfully slow speeds, and 7B–8B models are effectively impractical. ClawBox runs Llama 3.1 8B, Mistral 7B, Phi-3, and Gemma at usable speeds on its GPU, plus Whisper Large v3 for speech-to-text and Kokoro TTS for voice — all on-device with CUDA acceleration.

Does the Raspberry Pi 5 have CUDA or GPU acceleration for AI?

No. The Raspberry Pi 5 uses a VideoCore VII GPU that is designed for display and basic graphics, not AI inference, and it does not support CUDA. That means most AI frameworks fall back to CPU-only inference on a Pi. ClawBox's NVIDIA Jetson GPU supports CUDA, so Ollama and other tooling can offload model inference to 1024 GPU cores for dramatically faster, more efficient results.

What is the real total cost of a Raspberry Pi 5 AI build vs ClawBox?

A Raspberry Pi 5 AI setup is not just the €80 board. By the time you add an NVMe drive (~€35), a case (~€15), a power supply (~€12), and an SD card (~€8) you are around €150 — plus 3–5 hours of assembly, flashing, and configuration, and you still end up with only ~2 TOPS of CPU compute. ClawBox is €549 fully assembled and pre-configured with the GPU, models, and software ready to use out of the box.

When does a Raspberry Pi 5 make more sense than ClawBox?

The Raspberry Pi 5 is the better choice when AI is not the goal: lightweight tinkering, GPIO/electronics projects, retro gaming, a low-power home server, or learning Linux on a tight budget. Its low price and minimal power draw are genuine advantages. But if you specifically want to run a capable local AI assistant — chat, coding help, voice, and browser automation at usable speeds — the Pi's ~2 TOPS simply cannot keep up, and ClawBox's 67 TOPS GPU is the right tool.

准备好切换了吗?

不再比较,开始构建。 ClawBox 是即插即用的 AI 硬件 - 5 分钟内就准备就绪。

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