2026 年初，"OpenClaw"现象级爆发。当所有人都在讨论 Mac Mini 的二手价格暴涨时，知名技术博 主 Reorx 发布了一篇长文，详细记录了他利用 OpenClaw 将自己的工作流从"云端租赁"彻底迁移 回"本地私有"的全过程。 作者揭示了一个正在发生的趋势： AI 正在从一个昂贵的、按次收费的云端服务，变成像电力和自来 水一样，流淌在我们本地硬件里的基础设施。 以下是 Reorx 博文的核心内容编译。 编译 | 王启隆 出品丨AI 科技大本营（ID：rgznai100） 如果你现在去 eBay 上看，会发现 Mac Mini M4 的价格曲线像比特币一样疯狂。为什么？因为对于 OpenClaw 玩家来说，这是目前 能效比（Tokens per Watt） 最高的"肉身容器"。 原文 | reorx.com/blog/openclaw-is-changing-my-life/ 一、 一张 300 美元的 SaaS 账单，和一次彻底的"数字搬家" 故事的起点很俗套：钱。 上个月，我（Reorx）在整理财务报表时，被一张 300 美元/月 的软件订阅账单刺痛了。ChatGPT Plus、Midjo ...

Core Insights - The NVIDIA DGX Spark is marketed as a personal AI supercomputer, designed for researchers, data scientists, and students, offering high-performance desktop-level AI computing capabilities [8][10][11] - It features 200 billion parameters, 128GB of memory, and a price point of 30,000 RMB, raising questions about its value compared to renting more powerful GPUs [10][11][31] - The device excels in running lightweight models and can handle large models with 120 billion parameters, but its memory bandwidth of 273 GB/s is a significant limitation [11][31] Performance Evaluation - Performance positioning indicates that DGX Spark operates between the RTX 5070 and RTX 5070 Ti levels, with strong capabilities in processing large tasks [11][29] - The device's prefill phase shows high efficiency, but its decoding phase suffers due to bandwidth limitations, resulting in slower output generation [31][19] - Comparisons with other devices, such as the Mac Mini M4 Pro, show that while DGX Spark has advantages in prefill speed, its decoding speed is less impressive [17][21] Application Scenarios - DGX Spark supports over 20 pre-configured applications, including video generation and multi-agent chatbots, showcasing its versatility [36][47] - Users have successfully utilized the device for local AI video generation and building knowledge graph systems, indicating its potential beyond just running large models [37][48] - Innovative solutions, such as pairing DGX Spark with a Mac Studio for enhanced bandwidth, have been explored to maximize its performance [32][34] Market Positioning - The pricing strategy of 30,000 RMB positions DGX Spark as a premium product, but its performance relative to rental options for more powerful GPUs raises questions about its market competitiveness [10][31] - The device's unique features, such as its large memory and desktop design, may appeal to specific user segments, including those in academia and research [36][47] - The ongoing discussions and user experiences shared on platforms like Reddit highlight a growing interest and experimentation with DGX Spark, indicating a potential niche market [53][56]