Self-hosted AI infrastructure (n8n, Ollama, vector databases on a VPS) gives you full data sovereignty, GDPR compliance by design, and 50-70% lower costs vs. SaaS at scale. A VPS with 32GB RAM runs most SME AI workloads for €30-80/month. Trade-off: requires technical setup and maintenance.
Why self-hosting matters for business AI
When you use a cloud AI service, your data travels to someone else's servers. For many business use cases, this is fine. For sensitive data — customer information, financial records, trade secrets, legal documents — it is a risk that can be avoided.
A personal AI infrastructure means running your AI tools (automation engines, language models, vector databases) on hardware you control. This could be a VPS, a dedicated server, or even an on-premise machine.
What you can self-host today
- n8n: Full automation engine, self-hosted for free
- Ollama: Run open-source language models locally (Llama, Mistral, Phi)
- Vector databases: Qdrant, Weaviate, ChromaDB for semantic search and RAG
- Document processing: OCR, PDF parsing, data extraction pipelines
Want to apply this in your business?
At IL DOGE DI VENEZIA we support Italian SMEs through every phase of AI transformation. The first conversation is free.
Tell us about your projectThe practical trade-offs
Self-hosting is not for everyone. The advantages: full data control, GDPR compliance by design, lower costs at scale, no vendor lock-in. The disadvantages: requires initial technical setup, ongoing maintenance, and someone who understands the infrastructure.
For SMEs with sensitive data and a technical resource available, self-hosting is often the right choice for the automation layer, while using cloud APIs (Claude, GPT) for the language model layer where the performance advantage justifies the data trade-off.
If you want to evaluate whether self-hosted AI infrastructure makes sense for your company, contact us.