Ollama LXC Setup with GPU Acceleration and Web Interface

This guide covers setting up Ollama (Open Large Language Model) in a Proxmox LXC container with GPU passthrough and creating a simple web interface for easy interaction. Overview We’ll deploy Ollama in a resource-constrained LXC environment with: Intel UHD Graphics GPU acceleration llama3.2:1b model (~1.3GB) Lightweight Python web interface Auto-starting services Prerequisites Proxmox VE host Intel integrated graphics (UHD Graphics) At least 4GB RAM allocated to LXC 40GB+ storage for container Step 1: Container Setup Check Available GPU Resources First, verify GPU availability on the Proxmox host: ...

August 11, 2025 · 8 min · 1502 words · Dmitry Konovalov