Innovation & competitiveness through AITechnological advances in AI

VivaTech 2025: Mistral AI unveils a sovereign HPC infrastructure in partnership with Nvidia

At VivaTech 2025, Mistral AI presented a new high-performance computing infrastructure developed in partnership with Nvidia. The announcement marks a turning point in Europe’s strategy of technological independence, particularly in the field of generative artificial intelligence, where Europe is struggling to compete with the American and Chinese giants.

The announced infrastructure is based on several hundred Nvidia H100 and Blackwell B200 GPUs, enabling Mistral AI to train and deploy foundation models at very large scale, with minimal latency and enhanced data sovereignty.

According to Mistral AI CEO Arthur Mensch, “the real challenge is not just performance, but the ability to control the end-to-end value chain, from data to infrastructure”.

The unveiled infrastructure is based on three pillars:

  • High-performance hardware: clusters of latest-generation Nvidia H100 and B200 GPUs, interconnected via Nvidia NVLink and InfiniBand, enable peak performance of over 500 petaflops.1.
  • Hosting on European soil: computing will be operated within data centers located in France and Germany, RGPD-compliant, powered by decarbonized electricity.
  • Optimization for open source models: Mistral AI will train its in-house models, such as Mistral 7B and Mixtral 8x22B, but will also offer an API for access to shared LLMs, trained with European corpora.

This infrastructure places Mistral among the players capable of competing technically with the biggest American clouds – while retaining its European roots.

Today, over 90% of the AI computing power used in Europe comes from non-European cloud services.2. This dependence raises several issues:

  • Sensitive data: training of models on public and confidential corpuses exposed to extraterritorial laws such as the Cloud Act.
  • Latency and availability: dependence on infrastructures hosted outside the EU, with risks of access disruption or saturation.
  • Cost of access to computing power: European startups and research institutions struggle to access resources that are competitive with the prices imposed by American hyperscalers.

Mistral AI, supported by Bpifrance and the Banque Publique d’Investissement as part of the France 2030 strategy, embodies the political will to reverse this dynamic.

This new infrastructure opens up several possibilities:

  • Training European language models: Mistral announces multilingual models optimized for Romance, Germanic and Slavic languages, in response to the Anglocentrism of current models.
  • Deployment of AI agents in sensitive contexts: healthcare, justice, cybersecurity – areas in which data must imperatively remain within the country.
  • Power sharing with academic partners: via a privileged access point for European universities and research centers (INRIA, DFKI, ETH Zürich, etc.).
  • Sovereign LLM-as-a-Service offerings for businesses: invoiced in euros, hosted in Europe, with no data transfer outside the EU.

Mistral’s announcement is part of a broader drive to create a truly integrated European AI industry, from silicon to software:

  • Hardware: Nvidia still dominates, but projects are emerging in France (SiPearl, Kalray).
  • Software: open source alternatives such as Hugging Face or Mistral themselves are gaining ground.
  • Infrastructure: with Scaleway, OVHcloud and Eviden, France is developing a high-performance cloud base.

A report by Institut Montaigne (May 2025)3 identifies computational sovereignty as one of the three essential levers for guaranteeing European digital autonomy, alongside data control and algorithmic regulation.

Despite this progress, several challenges remain:

  • Technological dependence on Nvidia: while the data and models are European, the chips remain American.
  • Global cost competition: even when pooled, this infrastructure struggles to match the aggressive pricing of Google or Amazon.
  • Ecodesign and digital sobriety: such power requires greater attention to energy consumption, especially in a context of ecological transition.

More than a technological breakthrough, Mistral AI’s new infrastructure is a strong signal for the European AI ecosystem. It embodies a model where performance, sovereignty and openness can coexist.

It remains to be seen whether this ambition can be transformed into a lasting standard, accessible to researchers, SMEs and innovators across the continent.

What if the future of European artificial intelligence lay in reclaiming its material foundations?

1. Nvidia. (2025). Nvidia Blackwell B200 Technical Overview.
https://www.nvidia.com/en-us/blackwell

2. European Commission. (2024). AI Infrastructure Dependence Report.
https://digital-strategy.ec.europa.eu/

3. Institut Montaigne. (2025). AI and sovereignty: infrastructure issues.
https://www.institutmontaigne.org/publications

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