AI infrastructure now splits into three blocks — American, Chinese, European — each with a different price, legal exposure, and level of control. On-prem is returning because sovereignty has become a business requirement.
OpenEvidence's EU and UK withdrawal shows why clinical AI in healthcare needs sovereignty, auditability, subprocessor control, and private on-premises or sovereign cloud architecture.
Deploying AI in healthcare is constrained by data residency and regulatory exposure — not model capability. Learn how combining on-premises GPU infrastructure with AWS European Sovereign Cloud (EUSC) satisfies GDPR requirements while enabling rapid, compliant AI deployment.
The MIT AI Agent Index 2025 analyzed 30 AI agents and found rapid autonomy growth with weak safety controls. Here is what that means for GDPR compliance when your practice deploys AI automation.
Cloud AI services market "compliance" through contracts and certifications. But when healthcare data sovereignty is the requirement, contracts are not architecture. Here is why on-premise AI is the only defensible approach for healthcare organizations handling sensitive patient data.
Healthcare organizations processing thousands of patient records need AI that runs entirely on their own infrastructure. Today we launch MedCore Private AI — medical-grade language models deployed fully on-premise with complete data sovereignty.
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