Users can deploy a personal LLM server on home hardware using Ollama. Recommended system requirements include a CPU with 8 cores, 32 GB of RAM, and a GPU with 12 GB of VRAM for optimal performance with 7–8B parameter models.
The setup process involves installing the Ollama runtime and pulling a model like llama3.1:8b. To enable network access, the Ollama service must be configured to listen on all network interfaces by modifying the OLLAMA_HOST environment variable to 0.0.0.0:11434.
For remote access without port forwarding, the author suggests using a tunneling service like nozi.io. This provides a consistent address for connections from mobile devices or external networks, bypassing NAT and private IP limitations.
To ensure stability, the tunnel can be managed via a systemd service that automatically restarts the connection if it drops. The author emphasizes the necessity of implementing authentication, such as token-based header verification, to prevent unauthorized access to the exposed API.
