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\n\tAcross Europe and other regulated markets, organizations want access to frontier AI while maintaining control over their data, operations and critical workloads. This partnership extends Microsoft\u2019s Sovereign Cloud approach by combining Mistral\u2019s frontier models with Microsoft\u2019s security, compliance and cloud-to-edge platform, giving customers greater choice in how and where they deploy AI.<\/p>\n
\n\tEurope\u2019s AI future: expanded GPU capacity<\/p>\n
\n\tUnderpinning the partnership is a new multibillion-dollar agreement focused on expanding AI infrastructure in Europe. Mistral is adding its GPU capacity, drawing on thousands of the latest NVIDIA Vera Rubin GPUs to increase AI compute availability for customers and provide a shared platform for training, inference and large-scale deployment.<\/p>\n
\n\tThe agreement strengthens Europe\u2019s AI infrastructure while helping Microsoft meet growing demand for cloud and AI services. Consistent with Microsoft\u2019s flexible approach to global infrastructure, which combines its own datacenters, leased facilities and strategic collaborations with third-party providers, it expands Microsoft\u2019s capacity footprint in Europe and supports the European Digital Commitments announced in 2025.<\/p>\n
\n\tFrontier AI, enterprise ready: Mistral models in Microsoft Foundry and Copilot Studio<\/p>\n
\n\tAt the platform layer, Mistral\u2019s latest Medium 3.5 and OCR 4 models are now available in Microsoft Foundry, giving developers access to frontier models within a consistent environment for building, customizing and deploying AI applications. Mistral Medium 3.5 brings an open-weight model into a managed Azure environment, enabling developers and enterprises to build, customize and deploy AI applications with control, sovereign deployment options, and predictable, cost-efficient scaling. OCR 4 supports structured document-processing pipelines and agentic workflows, and both models can be applied across agentic applications, automation and domain-specific solutions using tools and workflows already established across the Foundry platform.<\/p>\n
\n\tAt the application layer, the companies brought Mistral\u2019s Medium 3.5 model to Copilot Studio, combining model flexibility with enterprise-grade governance, empowering teams to choose the best model for a given scenario while maintaining control over how and where data is processed.<\/p>\n
\n\tOne deployment experience across any environment: Microsoft Foundry and Foundry Local<\/p>\n
\n\tOrganizations can develop AI applications using the same models, tools, APIs and workflows across Microsoft Foundry and Foundry Local. This gives teams a consistent way to build, customize and operate AI applications regardless of where those applications ultimately run.<\/p>\n
\n\tMicrosoft Foundry provides the development platform for discovering, building and deploying models and agents in the cloud. Foundry Local extends that development and runtime experience to Azure Local, so organizations can bring AI closer to their data, users and operational environments. Together, they help reduce the need to redesign applications for each deployment scenario while giving customers more flexibility in how they meet sovereignty, latency and resilience requirements.<\/p>\n
\n\tFlexible deployment with a common operating model: Azure and Azure Local<\/p>\n
\n\tOrganizations increasingly need different levels of operational control depending on workload sensitivity, regulatory obligations and mission requirements. Azure and Azure Local provide a common platform that supports AI deployments across a spectrum of operating environments:<\/p>\n
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\n\t\tCloud: Azure-hosted deployments for cloud scale, agility and access to the latest platform innovation.
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\n\t\tCloud-connected: Customer-controlled Azure Local environments that remain connected to Azure services and operations when needed.
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\n\t\tFully disconnected: Azure Local deployments that can operate independently of external connectivity for highly sensitive, constrained or mission-critical environments.
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\n\tAcross these operating models, customers can use Mistral models with a consistent platform and operational approach. This helps regulated organizations avoid a fragmented AI architecture while supporting the level of control, resilience and connectivity their workloads require.<\/p>\n
\n\tFor regulated industries where strategic autonomy is required, this offers concrete advantages. These customers can apply AI to sensitive workflows while aligning data, operations and access controls to their specific requirements. Critical infrastructure providers can maintain AI capabilities where resilience and service continuity are essential. Manufacturing and industrial organizations can analyze production, quality and operational data locally where latency, IP protection, export controls, cybersecurity and supply-chain resilience can shape deployment requirements. Healthcare organizations can support AI-enabled workflows where privacy, data residency, clinical continuity and regulated data handling are foundational requirements.<\/p>\n
\n\tWhat this enables for our customers<\/p>\n
\n\tAs part of the expanded relationship, the companies are aligning on a joint go-to-market plan and will pursue enterprise opportunities together across Europe and globally. Mistral and Microsoft are also expanding the partnership to accelerate customer adoption, by funding PoCs, offering Azure credits, and leading workshops to drive AI innovation with customers.<\/p>\n
\n\tOrganizations in financial services, manufacturing, healthcare and other regulated sectors are running AI in settings where control and resilience are mandatory. With this partnership, they can build AI applications in Microsoft Foundry and run them in Azure or on Azure Local, using Mistral models in cloud, cloud-connected and fully disconnected operating environments.<\/p>\n
\n\tMicrosoft and Mistral will continue working to serve customers as we innovate across the models, development experience, development platform and European AI infrastructure that make this possible.<\/p>\n
\n\t\tBrad Smith, Vice Chair and President, Microsoft<\/p>\n
\n\t\tEurope should have access to the world\u2019s most capable AI without compromising control over their data, operations or digital future. By bringing Mistral\u2019s frontier European models into our sovereign cloud portfolio and enabling them across public cloud, cloud-connected and fully disconnected environments, we are honoring the European Digital Commitments we made and giving customers a trusted foundation for AI they can operate on their own terms.<\/p>\n
\n\t\tArthur Mensch, Co-Founder and Chief Executive Officer, Mistral<\/p>\n
\n\t\tOur mission has always been to put frontier AI in the hands of every organization while keeping them in control of their technology. With Microsoft as our partner, our models reach enterprises and public institutions at global scale \u2014 delivered through a platform trusted for the most demanding, regulated workloads and available everywhere our customers operate.<\/p>\n
\n\t\tIan Buck, Vice President of Hyperscale and High-Performance Computing, NVIDIA<\/p>\n
\n\t\tAgentic AI is driving unprecedented demand for high-performance, energy-efficient AI infrastructure. By deploying NVIDIA Vera Rubin systems at scale, Mistral and Microsoft will give customers the computing foundation they need to build and run the next generation of AI across Europe and beyond.<\/p>\n","protected":false},"excerpt":{"rendered":"
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