An AI Box represents a compact, desktop-friendly device capable of executing large-scale AI models boasting hundreds of billions of parameters, all without relying on an internet connection. At present, tech behemoths like Apple, NVIDIA, AMD, Microsoft, and Intel are all forging ahead in this innovative realm. In contrast to cloud-based AI solutions, AI Boxes deployed locally harness open-source, cost-free models. This approach eradicates the necessity for token-based fees subsequent to the initial hardware investment and guarantees that data remains securely within the organization's purview. Consequently, these devices are perfectly suited for trial-and-error endeavors, such as preliminary research and validation phases. Each manufacturer's AI Box offering is imbued with unique characteristics: Apple's M-series chips, renowned for their unified memory architecture, adeptly fulfill the computational demands of large models; NVIDIA has unveiled products like the DGX Spark, which come equipped with software stacks mirroring those found in data centers; Microsoft has introduced the Surface RTX Spark Dev Box, specifically designed to seamlessly integrate with the Windows ecosystem; whereas AMD and Intel concentrate on ensuring compatibility and catering to specific B2B scenarios. Presently, AI Boxes have been successfully integrated into various settings, including higher vocational education institutions and law firms, where they have significantly boosted efficiency and fortified data security measures. Nevertheless, the device is not without its challenges, encompassing difficulties in calculating return on investment (ROI), ambiguous rights and responsibilities, a scarcity of mature application scenarios, and inconveniences associated with hardware expansion. The AI Box is not envisioned as a replacement for cloud-based AI but rather as a tailored solution to meet specific needs, such as repetitive research and development tasks, heightened data sensitivity, and the provision of fixed computing power for small teams. Its essence lies in democratizing access to computing power and generating tangible value.