https://kazuf3.nicheapplab.com/tags/security/ Recent content in Security on Blog https://kazuf3.nicheapplab.com/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E https://kazuf3.nicheapplab.com/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E Hugo en-us Mon, 01 Jun 2026 12:00:00 -0700 https://kazuf3.nicheapplab.com/posts/blog/ollama-on-mini-pc/ Mon, 01 Jun 2026 12:00:00 -0700 https://kazuf3.nicheapplab.com/posts/blog/ollama-on-mini-pc/ <p>Deploying Large Language Models (LLMs) locally usually requires heavy, expensive desktop graphics cards. However, if you have an AMD-powered mini PC lying around—like the Minisforum UM690 featuring a Ryzen 9 6900HX and integrated Radeon 680M graphics—you can convert it into a quiet, efficient, dedicated AI server for your local network.</p> <p>Many developers try to host local models on an entry-level or older gaming laptop equipped with a dedicated NVIDIA card (like an RTX 3050 or 1650). However, these laptops are often crippled by a restrictive <strong>4GB VRAM limit</strong>, which forces the LLM to overflow into system RAM, slowing generation speeds to an unusable crawl. By contrast, an AMD Mini PC utilizes a Unified Memory Architecture (UMA). By adjusting a simple BIOS setting, you can allocate <strong>8GB or more</strong> of your system RAM directly to the integrated Radeon 680M iGPU. This provides a significantly larger, unified canvas capable of holding modern 3B and 8B models entirely in graphics memory without hitting local VRAM ceilings.</p>