January 13, 2026Guides

Running Private AI Models on VPS: DeepSeek & Llama Guide

Learn how to run powerful LLMs like DeepSeek-R1 and Llama 3 on your own VPS for total data privacy.

AI is transforming how we work, but using cloud-based models like ChatGPT means sharing your sensitive data with corporations. The current trend is Local AI. With high-performance VPS from Hiddence (especially our Ryzen 9 and Intel Core i9 plans), you can run your own intelligence agency in the cloud, keeping your prompts and data 100% private.

Hardware Requirements

LLMs need RAM and fast CPUs. We recommend:

Minimum: 16GB RAM for 7B/8B models (Llama 3, DeepSeek-7B)
Recommended: 32GB+ RAM for larger models or higher context
CPU: Modern AMD Ryzen 9 or Intel Core i9 for fast inference without GPU

1. Install Ollama

Ollama is the easiest way to run LLMs on Linux.

bash

curl -fsSL https://ollama.com/install.sh | sh

2. Download Your Model

For coding and general tasks, DeepSeek-R1 is a top performer. For general chat, Llama 3 is excellent.

bash

ollama pull deepseek-r1:8b
# OR
ollama pull llama3

3. Expose via API (Securely)

Ollama provides an OpenAI-compatible API. You can tunnel it via SSH to access it securely from your local machine without exposing it to the open web.

bash

ssh -L 11434:localhost:11434 root@your-vps-ip
# Now access http://localhost:11434 in your local apps