The European Commission opened applications for companies to build up to seven AI data centres across Europe, with €10bn in public funding and €20bn total investment expected. Four smaller facilities can receive up to €500m each for at least 75,000 AI chips, while three larger gigafactories can receive up to €1bn each for at least 100,000 chips, with construction expected to begin in early 2027. The initiative aims to reduce Europe's dependence on US and Asian AI infrastructure by establishing sovereign computing capacity within the bloc.
GPU utilization, not model capability, is becoming the critical constraint in enterprise AI infrastructure, much like aircraft utilization determined airline economics. Companies are buying large GPU clusters but face challenges keeping them efficiently occupied because different workloads—real-time inference, batch processing, training, quantization—require different hardware characteristics, creating scheduling mismatches that leave capacity idle even on fully provisioned systems. Solving this requires continuous active management through GPU orchestration layers that automatically allocate workloads to appropriate hardware in real time, shifting intelligence from the model itself into the infrastructure layer.
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