In-region inference, open models, and new European infrastructure for sovereign AI.

Thinking

Summary

Mistral is advancing AI sovereignty by offering enterprises and countries control over AI models, infrastructure, and compute capacity, ensuring regional compliance and reliability. The company is expanding open model access, introducing regional endpoints and priority tiers, and forming a coalition to secure long-term European AI compute capacity. With plans to build up to 1 GW of capacity by 2030, Mistral aims to provide a scalable, sovereign AI infrastructure that retains value and control for users.

At Mistral, we believe every enterprise and country must be in control of the models it uses, choose where the intelligence runs, control the compute capacity to scale it, and retain its compounding value.

Today, we are taking three concrete steps as we build the foundations of our customers' AI sovereignty: strengthening the reliability and regional control of inference, expanding access to third-party open models within that infrastructure, and bringing together enterprises and institutions to secure long-term commitments for compute capacity in Europe.

Regional control, production-grade reliability.

Most of our customers run our models inside their own data centers and cloud environments today. As AI becomes more deeply embedded in production, they need confidence that the underlying capacity will remain available, resilient, and under the regional controls their workloads require. For some, that means complementing infrastructure they manage themselves with capacity provided and operated by Mistral.

At the inference layer, that means two things: keeping data and processing in-region, and having dependable access to capacity when demand peaks. We are strengthening both. 

Of course Mistral models will continue to be available through partners, as well - you can learn more about our close partnerships here.

Sovereign intelligence, built on open model choice.

Matan Grinberg, CEO and cofounder of Factory