Run AI Workloads on a Volt Serv VPS
Private, self-hosted AI models without per-token fees.
What is AI / Ollama?
Tools like Ollama make it easy to run open-source large language models on your own server. Self-hosting AI on a VPS keeps your prompts and data private, removes per-token API costs, and gives you full control over which models you run. Smaller and quantized models run well on CPU; pair Ollama with a web UI like Open WebUI for a private, ChatGPT-style interface your whole team can use.
Good to know: A private alternative to the OpenAI, Anthropic, and Google AI APIs for many tasks.
Why run AI / Ollama on a Volt Serv VPS
- Full root access to install Ollama and any open-source models
- Your prompts and data never leave a server you control
- No per-token API fees — a flat monthly price for unlimited use
- NVMe SSD dramatically speeds up model loading
- Scale CPU and RAM as you move to larger models
Recommended resources
CPU inference of small/quantized models works on 8 GB RAM; larger models need more RAM and CPU. NVMe storage speeds up model loading significantly.
How to get started
- 1 Order a Linux VPS (Business or higher for larger models)
- 2 Install Ollama with the official one-line script
- 3 Pull a model (e.g. Llama or Mistral) and run it
- 4 Connect your app or a web UI to the local API
New to servers? Read What Is a VPS? first.
Pro tips for running AI / Ollama
Frequently asked questions
Can I run large models without a GPU?
Smaller and quantized models run well on CPU. Very large models need more resources; choose a higher plan or contact us about custom configurations.
Is my data private?
Yes — self-hosting means prompts and outputs stay on your VPS, never sent to a third-party API.