OpenEuroLLM offers EU-origin open-weight foundation models trained on EuroHPC compute. This article explains deployment, AI Act compliance, licence terms and multilingual trade-offs for regulated organisations.
The GPAI provisions of the EU AI Act entered application on 2 August 2025. This article explains when self-hosting an open-weight model makes you a provider, and how to document compliance before...
The EU AI Act imposes concrete logging, human oversight and retention obligations on high-risk AI systems. This article explains what sovereign infrastructure operators must build before the August 2026 enforcement date.
Federated learning and other sovereign privacy-enhancing technologies let hospitals, banks and public bodies train shared AI models while keeping raw data inside their legal perimeter. This article explains the governance, audit and...
Running LLM inference on US-controlled cloud GPU infrastructure exposes regulated organisations to CLOUD Act and FISA 702 risks. This guide covers on-premises GPU options, model sizing, inference frameworks, and compliance obligations under...
Training AI models on personal data triggers strict GDPR obligations. This article maps the lawful basis requirements, EDPB guidance, DPA enforcement signals and the technical measures that create a demonstrably compliant posture.
Agentic AI systems that act autonomously introduce exfiltration and jurisdictional risks that conventional LLM inference does not. This guide covers containment, AI Act obligations and audit-ready governance for sovereign on-premises deployments.
European open-weight models from EuroHPC and AI Factories offer a jurisdictionally clean alternative to US API services. This guide covers compliance, hardware baselines and supply-chain integrity for regulated sectors.
Fine-tuned model weights and proprietary training datasets represent irreplaceable competitive and legal assets. This article explains how to secure them on sovereign on-premises infrastructure against exfiltration, insider threats, and compliance failure.
The EU AI Act classifies many public-sector and regulated-sector AI systems as high-risk. This guide explains what that means for sovereign, on-premises deployments and how compliance can be made audit-ready.
Public AI services expose sensitive queries to foreign jurisdiction and training pipelines. This guide explains how regulated organisations deploy Mistral and Llama 3 on private infrastructure with full data sovereignty.
