





Quadro RTX 5000 16 GB + Dual GeForce RTX 3060 12GB = 40GB of vram
This is my local AI Server. It runs the best local model around qwen3.8:27b via ollama. I was inspired by Digital Spaceport on YouTube to make a 8-bit style arcade suite in a html file so i can host it on my website. I used hermes for my agent and it worked great, after a few update prompts it was finished - PIXELARCADE.
Ollama question:
The system has 40GB of Vram. qwen3.8:27b uses 23gb of vram in my setup. When I run gemma4:12b while qwen3.8:27b is loaded, 9.7gb is used. but the CPU is being used with a 16%:CPU 84%:GPU split. Why dose this happen? how can i fix it? will llama.cpp solve my issues?
This server only supports 1-2 users and I would like to run qwen3.8:27b and one more smaller model.
https://sikiru-ekunsumi.xyz/Projects.html
https://digitalspaceport.com/qwen-3-8-27b-review-prompts-and-vllm-settings/