AI on your own VPS: private models and agents

Three reasons: privacy, control and predictable cost. On your own VPS the data stays on your server in Europe — documents, conversations and embeddings never go to an external API. You decide which models and frameworks to install, and you pay a fixed monthly fee rather than a per-token bill.

An honest boundary: very large models and training need a dedicated GPU. Our VPS plans are CPU-based, so they suit small and mid-sized quantised models, RAG pipelines and orchestrating API-based agents. That covers a large share of real use cases without a GPU bill.

Ollama makes running open models easy: one command pulls a model (Llama, Qwen, Gemma, Mistral, Phi) and opens a local API. Quantised 3–8 billion-parameter models run reasonably on CPU when there is enough RAM — the rule of thumb is to keep the model in memory and leave headroom for context.

RAM determines what you can run. C-XS’s 2 GB suits API-based workflows; for a local model and RAG, choose a larger plan (C-M to C-XXL, 8–32 GB). Start with a smaller quantisation, measure latency, and move to a bigger model only once the need is proven.

RAG (retrieval-augmented generation) lets a model answer from your own documents without the data leaving your server. The workflow: chunk the documents, compute embeddings, store them in a vector database (pgvector in PostgreSQL, or ChromaDB), and at query time retrieve the closest passages as context for the model.

This is a VPS’s strongest AI use case: moderate RAM, CPU embeddings and a private database on your own disk. Internal company search, document Q&A or a support assistant then runs entirely under your control — no document reaches an external service.

An agent that runs continuously needs a machine that does not sleep. A VPS keeps the agent running (tmux or systemd), keeps its memory on disk and stays reachable even when your laptop is closed. The agent can use a local model or an API — the VPS is the orchestrator and its persistent home.

Practical examples — Claude Code for development, OpenClaw and Hermes as personal and learning assistants — plus detailed step-by-step setup guides live on our AI-focused sister site aiserver.ee. This page keeps the focus on the server itself; aiserver.ee shows how to stand the agents up on a VPS.

Our virtual servers give an AI workflow full root control, AMD EPYC hardware and NVMe SSD RAID storage in the CITIC Telecom data centre in Tallinn, on our AS205930 network — the data stays in Estonia. Choose the plan by model size: RAG and mid-sized models want more RAM (C-M to C-XXL, up to 32 GB).

Every plan includes free best-effort automatic backup (not guaranteed), full root access and the VirtFusion panel. Fixed plans start at C-XS, from €7.64/month on annual billing. For AI-agent inspiration and detailed setup guides → aiserver.ee.