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This article addresses the architectural and operational challenges of integrating sovereign data storage with enterprise AI initiatives in Europe, focusing on how legacy data infrastructure impacts model deployment. It highlights that achieving data sovereignty is now a critical design constraint for making historical datasets AI-ready rather than just a legal compliance issue. The discussion centers on NetApp's specific infrastructure solutions aimed at bridging the gap between scattered data sources and production-grade AI workloads.
NetApp puts sovereign storage at the center of European infrastructure decisions
Sovereign storage is becoming an architectural and operational consideration for European enterprises as they invest in AI, modernization and cyber resilience. Sovereignty now covers much more than where data is physically stored. Customers want to know who operates and manages it, where support is based and what telemetry is collected, according to Willem Hendrickx (pictured), senior […] The post NetApp puts sovereign storage at the center of European infrastructure decisions appeared first on SiliconANGLE.
Sovereign storage is becoming an architectural and operational consideration for European enterprises as they invest in AI, modernization and cyber resilience. Sovereignty now covers much more than where data is physically stored. Customers want to know who operates and manages it, where support is based and what telemetry is collected, according to Willem Hendrickx (pictured), senior vice president and general…
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