Dependency on a single API provider is a silent risk: costs grow with traffic, data leaves your environment, and switching providers means rewriting integrations.
What constitutes sovereignty
#- Serving LLM locally (vLLM, Ollama) — predictable latency and cost.
- Embedding server (BGE-M3) as the foundation for semantic search.
- RAG on company knowledge — answers from your documents, with citations.
- Router / gateway unifying input and controlling cost.
Design for exit, not lock-in
#Key principle: the system must allow switching providers — never the other way around. A router lets you mix local models (for sensitive paths) with cloud models (where power is needed), without rewriting code.
What about RODO
#Compliance is designed from the start (compliance-by-design): in the on-prem variant, data never leaves the company, and PII is masked before any cloud transfer. Security and RODO take priority over individual features.
You don’t need a GPU cluster right away — we tailor the variant to real workload and budget. Predictable cost matters, not maxing out hardware.
Self-hosted vs cloud API
#| Self-hosted | Cloud API | |
|---|---|---|
| Cost | Predictable (CAPEX + power) | Variable, grows with traffic |
| Data privacy | Data stays with you | Data leaves to provider |
| Control | Full (model, version, fine-tuning) | Limited to API |
| Provider dependency | None (you can switch) | Lock-in on pricing and features |
| Entry threshold | Higher (hardware, deployment) | Low (API key) |
FAQ
#What is sovereign AI infrastructure?
#Models on your hardware, with ownership of code and data — self-hosting instead of dependency on a single provider. We design it so you can switch providers, never the other way around.
Do I need my own servers or GPUs?
#Not necessarily. We tailor the variant to real workload and budget — from small models to a cluster. Predictable cost matters, not maxing out hardware.
How does sovereign infrastructure affect cost?
#Predictable cost instead of a surprise bill: instead of paying per token in the cloud, you control performance and cost on your own hardware.