Oliver Haller’s Post

Europe should stop framing AI compute as a GPU race. The more strategic question is where Europe can build a differentiated position before the next dependency becomes permanent. Training gets the headlines. But inference is where AI becomes industrial reality. It is the layer that will run inside factories, vehicles, energy systems, telecom networks, healthcare environments, robotics, defence applications and public infrastructure. What often gets underestimated is that inference has a different strategic profile than training. Peak performance matters — but it is not the only metric. For many industrial and sovereign workloads, the decisive questions are: 🔹 How much energy does each inference consume? 🔹 How secure is the workload from chip to cloud? 🔹 Can the system be deployed reliably under European control? A useful example is industrial AI. The value is not created by running the largest model once. It is created by running many smaller, specialized workloads continuously, securely and efficiently across real production environments. That changes the architecture question. The real question is not whether Europe can build another GPU. The real question is whether Europe can build the trusted AI inference layer its industries will depend on. #semiconductors #AI #deeptech #industrialpolicy #Europe