How much RAM does Ollama need?

Plan on 16 GB+ for typical use; add headroom if you expect many concurrent users.

Can I run other things on the same VPS?

Yes — size the plan so Ollama plus your other workloads fit in RAM with room to spare.

Automation

Run large language models locally.

Download and run open LLMs behind a simple API, entirely on your own hardware.

Ollama lets you run private AI models with no data leaving your server and no per-token costs.

1
Provision a VPS
Choose a plan with room for your data as well as the app.
2
Install the stack
Install Go runtime + model weights.
3
Deploy the application
Follow the project’s official install guide for your distribution.
4
Enable HTTPS
Serve it on your own domain behind a reverse proxy with a certificate.
5
Back it up
Schedule a database dump plus a copy of any uploaded files to an off-box location.

Give Ollama its own database user with rights only on its own schema.
Reverse-proxy Ollama and terminate TLS at the proxy so certificates are managed in one place.
Take a VPS snapshot before major upgrades so you can roll back cleanly.
Keep Ollama patched — most self-hosting incidents are unpatched software.

How much RAM does Ollama need?: Plan on 16 GB+ for typical use; add headroom if you expect many concurrent users.
What stack does Ollama run on?: Go runtime + model weights.
Can I run other things on the same VPS?: Yes — size the plan so Ollama plus your other workloads fit in RAM with room to spare.

Looking for something else? Popular alternatives include llama.cpp, vLLM, LocalAI — browse all app guides.