Ollama VPS Hosting: Self-Host Local LLMs 2026

Ollama VPS Hosting: Self-Host Local LLMs 2026

Host Llama 3, Qwen or Mistral on your own server. 100% private, no token limits, GDPR-compliant.

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Why Ollama Instead of ChatGPT Plus?

ChatGPT Plus costs €20 per month. Claude Pro €18. GitHub Copilot €10. Together that's €48 monthly for AI tools – and your data ends up with US corporations.

With Ollama on your own VPS you get: Unlimited usage at a fixed price (~€10/mo), full GDPR compliance with German hosting, and the ability to process sensitive data without sending it to OpenAI or Anthropic.

The sweet spot for most use cases: Llama 3.2 8B or Qwen 2.5 Coder 7B. These models are sufficient for 90% of everyday tasks and run smoothly on a 16GB VPS.

Hardware Requirements by Model

RAM requirements directly depend on model size and quantization. Rule of thumb: 1B parameters ≈ 1 GB RAM (at Q4 quantization).

For CPU inference, more cores are better. AVX2 support is mandatory for acceptable performance. GPU is nice-to-have but not necessary for most use cases.

ModelParametersRAM (Q4)Tokens/Sec (CPU)
Phi-3 / TinyLlama1-3B4-6 GB~50-80
Llama 3.2 / Mistral7-8B8-10 GB~20-40
Qwen 2.5 / CodeLlama13-14B16-18 GB~10-20
Llama 3.1 70B70B (quantized)48+ GB~2-5

Our Recommendation

For Chat & Assistance with 7-8B models, we recommend IONOS VPS L with 8 GB RAM for about €12/mo or Contabo Cloud VPS S with 8 GB for about €6/mo.

For Coding Assistants or larger models, Contabo Cloud VPS M offers 16 GB RAM for about €10/mo – the best RAM-per-euro ratio on the market.

Pro tip: Use Continue.dev instead of Cline for more stable remote Ollama connections.

Which Model Fits Which VPS?

This matrix applies regardless of specific model releases.

Modelle: Phi-3 (3.8B), Llama 3.2 (3B), TinyLlama
Für: Simple chat, Slack bots, summaries
50-80Tokens/Sek
Empfohlen
Modelle: Qwen 2.5 Coder (7B), Mistral (7B), Llama 3.2 (8B)
Für: Coding assistant, complex chat (Sweet Spot)
20-40Tokens/Sek
Modelle: Qwen 2.5 (14B), CodeLlama (13B), Command R
Für: RAG, multi-file coding, complex agents
10-20Tokens/Sek
Modelle: Llama 3.1 (70B Q2/Q3), Mixtral 8x7B
Für: High-end reasoning, research
2-5Tokens/Sek

Tokens/sec at CPU inference (no GPU). Model names change, RAM requirements stay stable.

Frequently Asked Questions

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