Mistral AI is launching a new infrastructure business to offer European AI sovereignty as a product. They are introducing regional inference endpoints allowing customers to choose between running AI workloads in Europe or the US. A new "Priority Tier" offers an uptime guarantee for critical applications. Mistral has also formed a coalition of European enterprises making multi-year compute commitments, which will support 200 megawatts of infrastructure by the end of 2027, aiming for a full gigawatt by 2030. In a notable move, Mistral will host third-party open models, starting with GLM-5.2 from the Chinese lab Z.ai. This strategy shifts Mistral from an open-weight model trainer to a seller of assured AI capacity and regional control. The significant infrastructure build-out requires substantial capital investment, estimated in the tens of billions of dollars. To finance this, Mistral is creating "European Compute Units" (ECUs) through long-term enterprise commitments, akin to power-purchase agreements. These ECUs offer flexibility in how participants consume compute capacity over multiple years. Key European enterprises like Amadeus, ASML, Capgemini, and CMA CGM have joined this anchor group, valuing guaranteed capacity and deployment control. Mistral's Regional Endpoints allow data processing within chosen regions, but tool calls to external services might involve limited transfers. The company plans to offer an endpoint on entirely Mistral-controlled infrastructure for maximum sovereignty. By hosting models from various origins under European controls, Mistral positions itself as a trusted intermediary for regulated European enterprises. This strategy is supported by Mistral's deepening partnership with Microsoft, which acts as a significant tenant, de-risking Mistral's infrastructure expansion.