Artificial intelligence is entering a new phase, that of industrialization, and calls for an infrastructure tailored to its own requirements: intensive computing, training, and running models at scale. For organizations in sensitive sectors (healthcare, finance, the public sector, defense), this equation comes with an added requirement: accessing this computing power while retaining full control over their data.
This is precisely the equation that AI Factories by OUTSCALE, Dassault Systèmes, are designed to solve.
A strategy born for the most demanding use cases
AI Factories were not designed in the abstract. They were first developed to meet Dassault Systèmes’ internal needs, combining the group’s virtual twin technologies with Nvidia’s AI infrastructure, open models, and accelerated computing libraries, to build science-validated industrial models.
Dassault Systèmes entrusted OUTSCALE with carrying this strategy forward: providing the infrastructure, orchestration, and security capabilities needed to train, infer, and operate AI models in critical environments. An expertise built to serve the world’s most demanding industrial players, now extended to all businesses and institutions.
“With Dassault Systèmes, OUTSCALE serves the most demanding industrial players on the planet […]. That’s our uniqueness: what is designed for the most demanding becomes an advantage for regulated markets,” Philippe Miltin, CEO, OUTSCALE.
Three structuring guarantees
Announced at OUTSCALE EXPERIENCES 2026, AI Factories combine three guarantees that matter to sensitive organizations:
- Sovereignty, ensured notably through data non-persistence: transient training data is not stored persistently within the AI Factory, which functions as a computing space rather than a storage space. Data persistence remains guaranteed within OUTSCALE’s sovereign, SecNumCloud-qualified Cloud infrastructure.
- Optimized resources and usage: dynamic management of GPU and CPU resources, made possible by the strategic partnership with Nvidia, which limits chronic overcapacity and pools scarce resources.
- The ability to scale on global resources, as close as possible to each organization’s needs for both training and inference at scale.
One building block within a broader continuum
This strategy fits within a continuum specific to Dassault Systèmes’ industrial AI: one that connects virtual twins, science, simulation, real-world data, AI models, and IP protection. OUTSCALE provides the execution layer, enabling the training, running, and orchestration of the models and agents behind new product categories: virtual companions, generative experiences, virtual twins, and Industry World Models.
Unlike a simple GPU resource provider, OUTSCALE brings a complete layer of service, orchestration, security, and governance: the goal isn’t just to supply computing power, but to make it usable within critical environments, with the guarantees expected by regulated organizations.
Built for regulated and sensitive sectors
AI Factories are designed for businesses, institutions, researchers, and organizations in regulated sectors that want to develop, adapt, and operate their own artificial intelligence models without giving up control over their data, know-how, and intellectual property.
This approach builds on a compliance foundation already proven at OUTSCALE: SecNumCloud qualification, ISO 27001-27017-27018, HDS, and TISAX certifications, CISPE membership, and SOC 2 Type 2. Guarantees that make AI Factories a credible answer for Europe’s most demanding sectors.
