LLM Architecture for European Compliance
Implementing Large Language Models (LLMs) in Europe is not a simple matter of connecting to a public API. The GDPR, EU AI Act, and EU data residency requirements create specific architectural constraints that European LLM deployments must satisfy.
The Three-Layer European LLM Architecture
Layer 1: Compliance Foundation
- Data classification: What data can LLMs process under GDPR?
- Legal basis mapping: Consent, contract, legitimate interest for each use case
- Data residency: EU-hosted LLM inference or on-premise deployment
- Audit logging: Record all LLM interactions for EU AI Act transparency
Layer 2: Infrastructure Architecture
- EU-region cloud deployment (AWS EU, Azure EU, Google EU, OVHcloud)
- Or: On-premise GPU infrastructure with local LLM (Llama, Mistral)
- Private network connectivity — no data leaving EU boundaries
- Encryption at rest and in transit (GDPR Article 32)
Layer 3: Application Architecture
- Input/output filtering for PII detection and redaction
- Context window management to minimize data exposure
- Human-in-the-loop checkpoints for high-risk outputs
- User consent flows for LLM-enabled features
European LLM Options
Mistral AI (France)
European frontier model. Open-source and commercial. Excellent GDPR compliance story. EU data residency available.
Aleph Alpha (Germany)
German sovereign AI. Strong explainability features. German government approved. Enterprise-grade EU compliance.
Meta Llama (Self-hosted)
Open-source LLM deployable on EU infrastructure. Full data sovereignty. Requires GPU infrastructure investment.
🏗️ Architecture Guide
✅ GDPR-Native