In 2026, several mini PCs stand out as top choices for users interested in running artificial intelligence (AI) models locally. These include the Panther Lake mini PC Minisforum M2, the Apple Silicon Apple Mac mini M6 (2026), and the Strix Halo Framework Desktop. These compact computers are designed to serve as personal servers that run AI agents, automate tasks, and process text continuously, all while using minimal electricity. Unlike cloud-based AI systems, local AI models offer more privacy and avoid subscription fees, though they typically have fewer capabilities than those hosted online. Mini PCs for local AI are optimized for performance, cost, and size. They are particularly useful for tasks such as image generation, testing AI frameworks, and running models that require significant graphical power. The most critical components for these systems are RAM, memory bandwidth, and unified memory. RAM is essential for handling large datasets and complex models, with 16 GB being the minimum requirement, 32 GB as a comfortable option, and 64 GB or more ideal for more demanding applications. Unified memory allows both the central processing unit (CPU) and graphics processing unit (GPU) to access the same pool of memory, improving efficiency and performance. Several chipsets are favored for their fast unified memory and efficient GPU allocation. Apple Silicon chips, such as the M4 and M5, and the AMD Ryzen AI Max (used in the Strix Halo Framework Desktop) are particularly noted for their speed and flexibility. Intel's Panther Lake generation, especially the Core Ultra 7 356H, is highlighted for its energy efficiency, making it well-suited for systems that operate continuously. The Minisforum M2, powered by Panther Lake, offers a very small size, modern connectivity, and is suitable for AI-assisted development and running large language models (LLMs) locally. Other options include the Apple Mac mini M6 (2026), which delivers strong performance and a powerful Neural Engine, though it has a soldered solid-state drive (SSD) and is more expensive. The Strix Halo Framework Desktop is recommended for users running large models on Linux, thanks to its modular design and up to 128 GB of unified memory. For those with more specialized needs, the Dell Pro Max with the Nvidia GB10 chip offers pre-configured Linux support, CUDA compatibility, and the ability to link multiple units together, though it is more costly and less adaptable for everyday use. Ultimately, the best mini PC for local AI depends on the user's budget, technical requirements, and preferred operating environment.