Mobile-Menu

Europe's AI Bottleneck Why Data Storage Is More Critical Than Ever to Computing Power

A guest post by Uwe Kemmer, Director of Field Applications Engineering, WD | Translated by AI 4 min Reading Time

Related Vendors

FAULHABER Drive Systems
Taiwan Machine Tool & Accessory Builders' Association (TMBA)

It is becoming increasingly clear that the performance of AI is not determined solely by the computing core. It also depends on the data set that feeds it.

Scalable data sovereignty is the foundation for the transition from computationally intensive AI processing and growing data streams to sustainable, energy-efficient storage systems.(Image: Gemini / AI-generated)
Scalable data sovereignty is the foundation for the transition from computationally intensive AI processing and growing data streams to sustainable, energy-efficient storage systems.
(Image: Gemini / AI-generated)

AI investments in Europe are currently focused primarily on computing power. Billions are being poured into GPU clusters, data center capacity, and training infrastructure. According to Bitkom, approximately 12 billion euros ($13.68 billion) were invested in German data centers in 2025, a significant portion of which was driven by AI. However, the more AI systems transition from the pilot phase to full-scale operation, the clearer it becomes: AI’s performance is not determined solely by the computing core. It also depends on the data that feeds it.

Related content