How to Run GPU Inference in the EU When Your Data Can't Leave: A Guide for Fintech and Healthtech Teams

European fintech and healthtech teams seeking to run GPU inference without exporting regulated data must treat EU residency as an end-to-end data-path requirement, covering GPU compute, prompts, vector stores, object storage, backups, logs, traces, and telemetry rather than merely selecting an EU cloud region. The guide distinguishes data residency from legal sovereignty, noting that US-headquartered cloud providers may remain subject to the US CLOUD Act despite EU hosting, while GDPR transfers can still be lawful through DPAs, SCCs, or the EU-US Data Privacy Framework. It compares managed EU inference APIs, self-hosted models in a customer’s hyperscaler account, EU-headquartered GPU clouds, and on-premises deployments, balancing sovereignty, operational complexity, capacity, cost, and DORA exit requirements. It advises enforcing region restrictions and default-deny egress through cloud policies, maintaining in-region encryption keys and audit logs, documenting subprocessors and processing activities, and conducting DPIAs and reversibility tests where required. The guide also highlights scarce EU H100 and A100 capacity, the importance of early quota requests, GPU utilization and operational expenses in cost planning, and the potential role of bring-your-own-cloud deployment platforms such as Qovery in operating workloads while leaving infrastructure and billing under the customer’s control.

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