Every organization has different compliance, performance, and security requirements. Choose the deployment model that fits, or combine them.
Use commercial LLM APIs (OpenAI, Anthropic, Google) with Ironum orchestration. Fastest time-to-value for non-sensitive workloads.
Best for: PoCs, non-regulated workloads, rapid experimentation
Enterprise-grade AI through Microsoft Azure's EU data centers. Full GDPR compliance with DPA, data residency guarantees, and enterprise SLAs.
Best for: Regulated industries, enterprise customers, GDPR-sensitive data
Full deployment on your own hardware or in your private data center. Open-source models, complete air-gap capability, zero external dependencies.
Best for: Defense, government, healthcare, maximum data sovereignty
| Requirement | Cloud APIs | Azure GDPR | On-Premises |
|---|---|---|---|
| GDPR Compliance | Partial | Full | Full |
| EU AI Act Ready | Depends on provider | Yes | Yes |
| Data Residency | Global | EU regions | Your premises |
| Setup Time | Days | 1-2 weeks | 2-4 weeks |
| Hardware Required | None | None | GPU servers |
| Air-Gap Capable | No | No | Yes |
| Model Selection | Commercial | Azure catalog | Open-source / custom |
Yes. Many clients use Azure GDPR for sensitive workloads and cloud APIs for non-sensitive tasks. Our orchestration layer routes queries to the right backend automatically based on data classification rules you define.
Cloud API setups can be live in 2-3 days. Azure GDPR deployments typically take 1-2 weeks including DPA setup. On-premises deployments take 2-4 weeks depending on hardware readiness and network configuration.
No. Ironum handles deployment, configuration, monitoring, and ongoing maintenance. We provide training for your team to manage day-to-day operations, but we remain available for support and updates.
Yes. Our modular architecture means you can start with cloud APIs and migrate to Azure GDPR or on-premises as your requirements evolve. We handle the migration with zero downtime.
Cloud APIs typically have 200-500ms response times. Azure GDPR is comparable. On-premises deployments can achieve sub-100ms latency for local models, making them ideal for real-time applications.
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