
Great design with better cooling than the standard. Linux build with custom NVIDIA kernel that supports OpenWebUI / Ollama for LLM inference. Runs ComfyUI well. Extremely customizable and works well for varied inference loads with much better / larger LLMs with its ~120GB available LPDDR5 VRAMthan would run on a standard RTX GPU w/ 16 - 32GB GDDR7 VRAM. I would buy another for the right price (less than $3500)



- Easy setup - Super quiet - Simple remote connection options - Preloaded Jupyterlab is convenient - Playbooks always getting added - NVIDIA ecosystem in a small package

- Easy setup, it was ready to use immediately - Good cooling, and super quiet - Sturdy feel and design















I was debating between this GIGAIPC board and ASRock N100DC-ITX Mini-ITX. The ASRock is much faster but does not have the storage I need, plus too many bad reviews, Plus, it's a consumer grade board This mITX-6412A comes with 5 SATA and (1) M.2 SATA = 6 Storage. + Very Low TDP + 2 NIC + Silent + Mini-ITX + 2 PWM Fans + Industrial grade (made to run constantly) All these were exactly what I was looking for. I put it to work immediately, with used 8GB RAM ($17) + Coral Accelerator Cards (G650-04527-01) ($40) + (3) WD HDDs and (2) 2.5" SSD (I already had the drives) + INTEL SSDSCKKB240G8 240GB D3-S4510 M.2 2280 SSD ($25 used) running proxmox + Home Assistant + Frigate + OPNSense in a mix of VMs and containers. I know it is tight with 8GB RAM, but I'm planning to replace with 16GB later when price get less crazy than current market