OUTSCALE Experiences - OUTSCALE blog

Open source, digital commons and sovereignty: levers for the public sector

OUTSCALE — Fri, 18 Sep 2026 14:50:11 +0000

At OUTSCALE EXPERIENCES 2026, Julie Ripa, Co-Director of La Suite numérique at the Interministerial Digital Directorate (DINUM), Florian Caringi, Deputy Head of Data & Open Source, President of OW2 and Vice President of Tosit within the BPCE Group, and Léo Unbekandt, Co-Founder and Chief Technology Officer of Scalingo, discussed the role of open source and digital commons in digital sovereignty, particularly in the public sector.

Open source and digital commons are playing an increasingly important role in public-sector digital sovereignty strategies. In particular, they enable public administrations to better control their technological dependencies, facilitate reversibility and pool their digital investments. Their effectiveness nevertheless depends on specific conditions: open governance, an active community, available skills and sustainable funding.

Understanding open source and digital commons

Open source as a collaboration model

Open source refers to code distributed under a license that authorizes its use and, subject to the applicable conditions, its modification and redistribution. This approach is based on several core principles: transparency, collaboration and the ability to develop and innovate collectively.

In an open-source environment, value therefore lies not only in the code. It also depends on the communities that maintain it, the organizations that develop it and the stakeholders capable of integrating it into operational environments.

Open source thus provides a shared technological foundation. It enables several companies, public administrations and contributors to work on common building blocks sometimes through cooperation, and sometimes through competition between service providers.

Digital commons rely on governance

A digital common is a digital resource collectively managed by a group that defines its own rules. This resource may take different forms, including data, code, specifications or content.

Wikipedia and Linux illustrate this approach. However, publishing software under an open-source license is not enough to create a digital common. The decisive factor is the community and governance organized around the resource.

A project becomes a common when several stakeholders can contribute to its maintenance, participate in decision-making and ensure its continuity. Governance must therefore define how contributions are made, how changes are approved and how the project is funded.

Digital sovereignty as strategic autonomy

Controlling technological dependencies

Digital sovereignty does not mean that an organization must produce all the hardware and software components it uses on its own. Such an approach would be difficult to achieve in practice, since no organization controls the entire digital value chain, from hardware to software.

Rather, digital sovereignty is about having the ability to control and make informed choices. A sovereign organization must be able to:

identify its technological and organizational dependencies;
control its data and choose its tools;
change providers when necessary;
limit its dependence on a single supplier;
maintain the ability to respond to risks associated with its suppliers and technologies.

This approach can be described as strategic autonomy. It involves choosing one’s dependencies, measuring their impact and building resilience solutions suited to the organization’s activities.

Open source as a resilience lever

Open source contributes to this autonomy by reducing the risk of dependence on a single stakeholder. An open technology can be maintained, integrated or adapted by multiple actors, provided that a sufficiently robust ecosystem exists around the project.

This plurality facilitates reversibility. An organization can rely on different integrators, service providers or internal teams to operate the same technology. It therefore has greater room for maneuver in the event of price changes, license modifications, product discontinuation or strategic disagreement with its provider.

Reversibility also depends on architectural choices. Open APIs, open software and widely adopted technologies make it easier to move a solution to another environment.

Public-sector strategies

The “public money, public code” principle

In the public sector, opening up code reflects a desire to reuse collective investments. The “public money, public code” principle holds that code funded by taxpayers should be reusable by other public administrations, companies or citizens.

This approach pursues several objectives. It improves the transparency of public action, facilitates code review and creates opportunities for cooperation between public administrations. It also promotes innovation by enabling different stakeholders to reuse and adapt existing developments.

La Suite numérique illustrates this approach. This suite of collaborative tools for public-sector employees is developed as open source and operated by DINUM. It can be hosted on sovereign clouds, including OUTSCALE’s SecNumCloud environment or ministerial infrastructures.

Pooling development at European level

Opening up code facilitates collaboration between public administrations in different countries. Tools developed to meet a public-sector need can be reused in other national contexts and then enhanced through new contributions.

This cooperation makes it possible to bring together resources around shared challenges, pool development efforts and reduce the costs associated with creating similar solutions. It also contributes to the emergence of European alternatives to major technology platforms.

However, publishing the code is only a first step. For a public-sector solution to become a sustainable digital common, it must attract private companies, other public administrations and contributors from several countries.

Building a sustainable community

Open and inclusive governance

The long-term viability of a digital common depends on the diversity and commitment of its ecosystem. A solution that remains entirely dependent on a single public administration or company retains a structural weakness, even when its code is open.

Governance must therefore organize the participation of different stakeholders. It should establish rules for reviewing contributions, prioritizing developments, resolving disagreements and maintaining essential components.

Foundations and associations can play an important role in this organization. A foundation with open governance can bring together software publishers, integrators, users and public-sector stakeholders around common rules. An association can also facilitate the sharing of best practices, co-development and joint funding.

Cooperation and competition within the same ecosystem

A digital common can bring together competing companies that contribute to the same technological building block. This logic of coopetition enables each stakeholder to develop its own services while improving a shared software infrastructure.

PostgreSQL is an example of a technology around which several companies can offer services, integrations or support. Competition between these stakeholders helps strengthen the underlying technology and increases the range of options available to users.

The community then extends beyond the project’s initial offering. It transforms open-source software into a widely adopted, maintained and usable resource for multiple organizations.

Assessing open-source risks

Distinguishing open source, source-available and open core

The term “open source” can cover different realities. Some software publishers offer an open version of their software while reserving essential features for proprietary modules. This model, often called open core, can limit the user’s actual freedom.

A thorough assessment should therefore examine:

the license applicable to the code;
the features available in the open version;
the terms governing commercial use;
the project’s governance;
the diversity of its contributors;
its maintenance and support arrangements;
the community’s ability to continue the project.

Software may be publicly accessible while remaining highly dependent on a single company. The project’s long-term viability must therefore be assessed alongside its license and technical characteristics.

Monitoring project vitality

Opening up the code does not guarantee software continuity. A project may be technically promising while depending on a very small team or a limited number of contributors. If the company maintaining it changes its strategy, abandons the product or changes its license, users may face significant operational risk.

Organizations must therefore assess the vitality of communities, the frequency of contributions, the diversity of maintainers and the existence of stakeholders capable of ensuring the project’s continuity. This approach is part of the broader management of software supply-chain risks.

Understanding licenses and forks

A license applies to code at a given point in time. If the project owner subsequently changes the license, code already released under the previous license remains subject to the rights defined at that time, subject to the specific terms of the license concerned.

A fork consists of creating a new branch of a project from an existing version and continuing its development along a separate path. This possibility enables a community to keep developing software when its governance, license or strategic direction no longer meets its needs.

A fork does not eliminate legal constraints. The new project inherits the obligations of the license governing the reused code. Some licenses are compatible with one another, while others impose specific restrictions on redistribution, commercial use or research.

Companies can rely on an Open Source Program Office to manage these issues over time. This function helps structure license analysis, contribution management and compliance with open-source usage requirements.

Security and maintenance of critical components

Automated analysis is changing the scale of cybersecurity

Artificial-intelligence tools capable of analyzing code can help detect vulnerabilities in open-source projects. They also lower the barrier to entry for developers who want to contribute to existing projects.

However, this development increases the volume of potential issues that must be addressed. Projects may receive more reports, fixes and contributions, with varying levels of quality. Teams must therefore strengthen their review, assessment and prioritization processes.

For operators of large infrastructures, the growing number of vulnerabilities requires shorter response times. Security becomes an organizational capability based on monitoring, coordination and the availability of teams able to intervene quickly.

Funding essential components

A large share of proprietary software and digital services relies on open-source building blocks. The robustness of these components is therefore a collective concern for public administrations, companies and users.

Organizations that use these projects must contribute to their long-term sustainability. This contribution can take several forms:

direct funding for foundations and projects;
code contributions and vulnerability fixes;
provision of expertise;
participation in governance;
support for training and talent development.

European funding mechanisms dedicated to maintaining digital commons can reinforce this dynamic. They help support sovereign and open-source projects that provide collective value but have limited resources.

Creating value with open source

Value also lies in operation

Open source can support viable business models. Commercial value often comes from the services surrounding the software: integration, hosting, operations, support, maintenance, security and scaling.

A company can therefore use open-source technology while providing specialized operational expertise. It helps customers deploy the software, keep it running in production and adapt it to their specific requirements.

This approach is particularly relevant for managed services. Customers benefit from open technology and professional support to operate it over the long term.

Developing European alternatives

Open source can also support the creation of European technology companies. Platforms such as Scalingo rely on open-source components and provide environments that enable customers to test, deploy and operate these technologies.

The use of open software and open APIs strengthens the reversibility of the services offered. Customers can retain the ability to change providers and reduce their exposure to proprietary interfaces.

This proposition addresses the growing expectations of public- and private-sector organizations seeking to limit their dependence on major technology platforms. It combines open technology with operational, support and security expertise.

Three priorities for organizations

To turn open source into a lever for digital sovereignty, organizations can focus their efforts on three priorities:

map technological dependencies, licenses and critical stakeholders;
contribute to the projects used by the organization through code, funding or expertise;
participate in governance structures capable of ensuring the continuity and evolution of digital commons.

This approach must involve IT, legal, procurement, security and business teams. Digital sovereignty is an organization-wide strategy combining architecture, governance, skills and funding.

Conclusion

Open source and digital commons are essential levers of strategic autonomy. They facilitate reversibility, resource sharing, transparency and supplier diversification, while encouraging the emergence of European technology ecosystems.

Their effectiveness nevertheless depends on organizations moving beyond the simple consumption of open software. Sustainable digital sovereignty requires active communities, inclusive governance, local expertise and regular funding. Open source is not free: it relies on contributions, shared responsibilities and investments capable of ensuring the continuity of critical digital building blocks.

L’article Open source, digital commons and sovereignty: levers for the public sector est apparu en premier sur OUTSCALE blog.

Running an organization in real time: What it demands from Cloud infrastructure

OUTSCALE — Fri, 28 Aug 2026 15:15:59 +0000

A customs tariff decision made thousands of miles away can, within a few weeks, upend an entire organization’s financial balance. Faced with this kind of shock, an organization’s ability to recalculate in real time the impact of a scenario on its value chain (suppliers, costs, lead times, margins) becomes a decisive competitive advantage. This is precisely what Virtual Twins of organizations are addressing today, an approach presented by Morgan Zimmermann, CEO of 3DEXPERIENCE, Dassault Systèmes, at OUTSCALE EXPERIENCES 2026: simulate before deciding, rather than endure. But this agility cannot be decreed by software alone, it depends on a Cloud infrastructure capable of absorbing it.

Simulating before deciding

The principle behind a Virtual Twin of an organization is to continuously represent how a company actually operates: its flows, dependencies, and constraints, so that scenarios can be tested before they are executed. Faced with a sudden rise in customs tariffs representing several billion euros in potential impact, an organization equipped with such a system can query its Virtual Twin, obtain a quantified assessment of several supply chain reorganization scenarios within moments, and make an informed decision. This kind of steering relies on specialized agents, capable of representing a situation, understanding it, engaging with teams, reasoning through alternatives, and triggering concrete actions.

Agility that comes with a technical price

This level of responsiveness places strong demands on the infrastructure that supports it. First, it requires sufficient compute elasticity to absorb occasional, unpredictable simulation spikes without excessive latency: a Virtual Twin that takes several hours to respond loses some of its value. Second, it requires strict protection of data and intellectual property: an organization’s Virtual Twin aggregates strategic information on suppliers, costs, and internal processes, often shared with an ecosystem of partners. Rigorous isolation therefore becomes a condition of trust, not an option. Morgan Zimmermann himself raises this requirement for pooled yet controlled compute power at the close of his demonstration, pointing to OUTSCALE’s ability to pool costly compute resources to make them economically efficient at the point of use: a principle also found in the dynamic GPU resource allocation implemented within OUTSCALE’s AI Factories.

OUTSCALE, the foundation that makes this possible

It is precisely on these requirements that OUTSCALE builds its response. Philippe Miltin, CEO of OUTSCALE, sums up the criteria for this sovereignty: recognized certifications and qualifications, including SecNumCloud qualification, reversibility and interoperability of environments without dependency on a single vendor, and long-term control over the technology investments that underpin it. Arnaud Bertrand, CTO of OUTSCALE and Senior Vice President of OUTSCALE, Dassault Systèmes, details the technical translation of this within the AI Factories: better, pooled use of GPU resources, and physical and logical segregation guaranteeing each organization the isolation of its workloads, even when several partners are working on the same scenario.

Running an organization in real time is therefore not only a software challenge: it is an infrastructure challenge. By providing the compute power, sovereignty, and isolation needed for this kind of steering, OUTSCALE positions itself as the Cloud and AI foundation that enables organizations, including in the most critical sectors, to turn uncertainty into decision.

To watch the replays of Morgan Zimmermann’s and Philippe Miltin’s talks, find the links below.

Organizations steerable through their Virtual Twins – Morgan ZIMMERMANN at OUTSCALE EXPERIENCES 2026:

OUTSCALE: the sovereign Cloud and AI foundation for critical organizations – Keynote by Philippe Miltin at OUTSCALE EXPERIENCES 2026:

Technology vision and new services – Keynote by Arnaud Bertrand at OUTSCALE EXPERIENCES 2026:

L’article Running an organization in real time: What it demands from Cloud infrastructure est apparu en premier sur OUTSCALE blog.

Why Industrial AI Needs Dedicated Infrastructure

OUTSCALE — Thu, 27 Aug 2026 13:00:40 +0000

Generative AI has long been envisioned as a service simply plugged into standard Cloud infrastructure. That assumption no longer holds once AI is expected to deliver reliable results on industrial topics: sizing a mechanical part, anticipating a supply chain disruption, validating a regulatory configuration. A general-purpose language model, however powerful, lacks an understanding of physical reality and can therefore produce results that are not physically correct. This observation, made by Florence Hu-Aubigny, Executive Vice-President Research & Development at Dassault Systèmes and Chief Architect of the 3DEXPERIENCE platform, during OUTSCALE EXPERIENCES 2026, reflects the same rationale behind the design of AI Factories by OUTSCALE: an infrastructure built from the ground up for training and running industrial AI models, within a sovereign and secure framework.

An architecture designed to retain nothing

The first guarantee offered by AI Factories rests on a principle that is simple to state but demanding to implement: no data is stored there on a lasting basis. The AI Factory operates as a compute space, not a storage space: data passes through, computation runs, and everything is then returned to OUTSCALE’s sovereign IaaS infrastructure, where certifications reside and where data persistence is fully guaranteed. Arnaud Bertrand, CTO of OUTSCALE and Senior Vice President of OUTSCALE, Dassault Systèmes, sums up this architectural choice plainly: the goal is to ensure that, at no point, any trace of customer data remains in the compute space.

This non-persistence is paired with physical and logical segregation by customer: each organization has its own dedicated AI endpoint, guaranteeing the isolation of its workloads and its intellectual property. This architecture was built in partnership with Nvidia (based on a generation of GB200 and GB300 components, paired with H200 GPUs) and with Bull for hardware integration, providing state-of-the-art compute capacity while retaining full control over its implementation.

Elastic access to multiple model families

Through a dedicated control plane, AI Factories provide access to a pool of models that includes Nvidia’s NIM models, such as Nemotron, as well as the models OUTSCALE already works with, such as Mistral. OUTSCALE will also add Aleph Alpha and LightOn to this pool to round out its sovereignty offering, and will provide access to LLaMA and OpenAI models as well. This pool powers a multi-model agentic platform that can orchestrate, depending on the use case, whichever model is best suited, whether open, sovereign, or international.

This elasticity comes with a shift in how GPU resources are allocated. Rather than static allocation (where a customer pays for reserved capacity that isn’t always fully used), OUTSCALE is building dynamic allocation, adjusted to actual usage.

One standard, two deployment scales

AI Factories are deployed according to two complementary approaches. On one side, international zones in Europe, the United States, and Asia offer maximum elasticity and allow workloads to be distributed across several continents. On the other hand, a strictly SecNumCloud zone, isolated and self-contained, is reserved for the most sensitive workloads, with no possibility of spillover to international zones.

It is this combination: non-persistence, per-customer segregation, model diversity, dynamic allocation, and dual-speed deployment – that allows OUTSCALE to offer a credible response to organizations operating in critical, regulated sectors: healthcare, energy, aerospace, defense, and the public sector. These AI Factories, initially designed to meet Dassault Systèmes’ internal needs, are now being gradually opened up to all companies and institutions that share the same requirement: industrializing AI without ever compromising on the sovereignty of their data.

To find out more, watch the replays of Arnaud Bertrand’s and Florence Hu-Aubigny’s talks.

Technology vision and new services – Arnaud Bertrand’s keynote at OUTSCALE EXPERIENCES 2026:

Dassault Systèmes: Industrial AI platform architecture – Florence Hu-Aubigny at OUTSCALE EXPERIENCES 2026:

L’article Why Industrial AI Needs Dedicated Infrastructure est apparu en premier sur OUTSCALE blog.

Overcoming the challenges of implementing agentic AI

OUTSCALE — Tue, 28 Jul 2026 13:05:33 +0000

Intelligent automation is entering a new phase with agentic AI. By combining the execution capabilities of automation with the reasoning of generative AI, it enables autonomous agents to act directly at the core of business processes. Organizations expect three major benefits: cost reduction, faster turnaround times, and improved service quality.

Led by Simon LUSINCHI (Partner at Artefact) and Marie-Astrid de Foucauld (AI Ecosystem Manager at OUTSCALE) during the OUTSCALE EXPERIENCES event, this session analyzes the major obstacles related to deploying agentic AI in companies. It highlights the importance of going beyond a purely technological vision to jointly orchestrate human, business, and technical levers, which are key to sustainable transformation.

Understanding the stakes of agentic AI

The emergence of agentic AI is part of the ongoing evolution of technological uses, following RPA automation, traditional analytical AI, and then generative AI. Characterized by its ability to reason and chain actions, this new form of AI marks a turning point: it no longer limits itself to content generation, but decides, acts, and adapts based on its context.

This technological shift fundamentally transforms how projects are approached. The objective is no longer simply to optimize the time allocated to an isolated task, but to rethink and transform the overall functioning of an entire process.

Three methods to get started

To initiate an agentic transformation, organizations can choose between three methods:

Global strategy: map all processes, quantify potential value, and prioritize use cases to build an enterprise-wide agentic roadmap.
Function-based approach: first target a cross-functional area (HR, legal, marketing, administrative) and identify processes to optimize with agents.
Targeted pilots (PoCs): launch pilots on process fragments to build a methodology and quickly demonstrate value (e.g., commitment management).

A progression of benefits

The deployment of agentic AI can be understood across three levels of maturity: individual use, mutualization, and end-to-end autonomy. At each level, ROI becomes clearer, more collective, and more strategic.

Individual level : An assistant automates specific tasks for a person or function. The gain is real but remains diffuse, as it mainly improves local productivity.

Mutualization level : An agent orchestrates multiple actions around a common objective, serving a team or shared workflow. The value created becomes collective and easier to measure in operations.

Autonomous level : The agent takes charge of an entire business process end-to-end. This is where the impact becomes systemic, with performance indicators focused on execution speed, quality, cost, and scalability.

A systemic approach to transformation

To avoid the common mistake of trying to deploy artificial intelligence systematically, Artefact structures its approach around a global vision. Very often, the ideal solution does not lie in integrating an autonomous agent, but rather in simplifying automation or restructuring an existing process.
This multidimensional approach is structured around three strategic axes:

The human dimension: defining a global vision, building the internal narrative, setting appropriate safeguards, and continuously developing skills.
The business dimension: relying on precise process mapping to determine whether the added value will truly come from AI, an RPA solution, or simple organizational optimization.
The technological dimension: focusing on rigorous data management, robust architecture, and the establishment of clear governance.

Data governance and security requirements

The effectiveness of an AI agent is closely tied to the quality of its data architecture. To be fully usable, information must follow a rigorous process of collection, cleaning, structuring, and classification. However, it is crucial to avoid paralyzing the system through excessive classification into “confidential” or “restricted” categories, which could block access to useful data and significantly degrade overall performance.

At the same time, security is a fundamental pillar of the approach. Before considering the deployment of an agentic solution, any organization must anticipate and formalize its requirements in terms of network constraints, hosting conditions, integration protocols, and access rules. Beyond purely technical aspects, this reflection represents a true challenge of trust and overall governance.

Selecting the right solution

To address different levels of maturity and organizational constraints, OUTSCALE offers three complementary approaches based on the desired level of autonomy.

GPU as a Service is aimed at highly technical profiles seeking full control over infrastructure and models.
LLM as a Service enables rapid deployment of a private API within a sovereign and secure framework.
OUTSCALE offers a turnkey software solution designed to be accessible to non-technical users and to accelerate large-scale adoption.

OUTSCALE also relies on an ecosystem of cloud and consulting partners, including Artefact, to support clients at every stage of the project. This support covers initial assessment, use case scoping, deployment, and ongoing optimization of usage and performance.

Key Takeaways

1. Agentic AI fundamentally changes how processes are executed. It no longer simply assists users: it acts, orchestrates, and can make certain decisions within a defined framework. This requires organizations to rethink business processes as a whole, rather than automating only isolated tasks.

2. Success relies on a truly cross-functional approach. Three complementary dimensions must be aligned: the human dimension, with adoption and upskilling; the business dimension, with the selection of the most relevant use cases; and the technological dimension, with data quality, architecture, and integration. The challenge is therefore not only technical, but also organizational and operational.

3. The main obstacles relate to data and governance. Data quality, accessibility, and security directly determine agent performance. Choosing solutions adapted to the organization’s level of maturity is also critical to delivering reliable, measurable, and sustainable results.

L’article Overcoming the challenges of implementing agentic AI est apparu en premier sur OUTSCALE blog.

AI Factories: how OUTSCALE is industrializing AI for the most demanding organizations

OUTSCALE — Tue, 28 Jul 2026 09:12:16 +0000

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.

Learn more about OUTSCALE’s sovereign Cloud infrastructure.

L’article AI Factories: how OUTSCALE is industrializing AI for the most demanding organizations est apparu en premier sur OUTSCALE blog.

How can Europe ensure the deployment of sovereign and trustworthy AI?

OUTSCALE — Wed, 22 Jul 2026 13:20:58 +0000

Artificial intelligence is now entering the stage of industrialization. Beyond technical challenges, this scaling phase raises a strategic question for the European continent: the conditions required for the emergence of high-performing, autonomous, and trustworthy AI.

As part of OUTSCALE EXPERIENCES 2026, Igor Caron (Co-founder, Lighton), Emmanuel Leroux (CEO, Bull), and Mathieu Feuillet (CISO, Dassault Systèmes) shared their perspectives on the pillars of this European success.

Infrastructure at the heart of technological sovereignty

Digital independence cannot be real without full control of the value chain. Emmanuel Leroux emphasizes that sovereignty necessarily requires control over “compute,” encompassing physical components, firmware, and software platforms alike.

Today, Europe faces strong dependence on foreign GPUs and the uncertainties of global supply chains. To address this, it is crucial to strengthen industrial capabilities and consolidate infrastructure within the continent.

Ultimately, without solid hardware and software autonomy, Europe’s capacity for innovation will remain fragile and dependent on external decisions.

Ethics as a lever for competitiveness

Far from being a mere constraint, trust is becoming the key driver of technology adoption. It cannot be imposed; it must be built patiently through tangible proof.

At Dassault Systèmes, this approach takes the form of a rigorous framework built on fundamental pillars: the primacy of human oversight, system security, strict respect for intellectual property, as well as fairness, transparency, and environmental responsibility.

For businesses, the question has shifted from the technical feasibility of AI to its reliability. Addressing this challenge requires providing concrete assurances regarding data governance, effective control of decision-making processes, and full traceability of outcomes.

Leveraging domain expertise through AI

The effectiveness of an AI solution is not measured solely by the sophistication of its algorithms, but above all by its ability to mobilize a company’s informational assets.

As Igor Caron points out, needs originate in the field: business units want AI tools integrated into the enterprise, capable of securely leveraging internal knowledge and sensitive data.

To address this challenge concretely, LightOn focuses on a technical architecture designed for real-world business use. The idea is not to systematically rely on heavy and costly infrastructure, but to favor more efficient processing, particularly using CPU-based approaches when they meet business needs.

This approach also relies on the RAG methodology, which consists of connecting the AI model to the organization’s internal documents and knowledge. Instead of depending solely on the raw power of a large model, the AI retrieves relevant information from company sources, then reformulates it in a usable, traceable, and contextualized way.

The benefits are twofold: on one hand, infrastructure and computation costs are significantly reduced; on the other, the relevance of responses improves because the system relies on up-to-date internal data. This makes it possible to build AI that is more affordable, easier to deploy at scale, and more profitable for organizations.

Beyond sovereignty: the imperative of excellence

While sovereignty is an essential foundation, it cannot be an end in itself.

To compete with American and Chinese powers, Europe must develop technologies whose competitiveness extends internationally. This ambition requires moving beyond a purely defensive posture to embrace a true culture of overall performance.

The fundamental objective is no longer just to protect digital borders, but to bring superior solutions to market.

Prioritizing use cases to catalyze deployment

The lack of concrete use cases is a major, though often overlooked, barrier to AI development in Europe.

Beyond infrastructure gaps, the continent suffers from limited real-world adoption of technological tools. Since usage drives demand, it is the only true guarantee of return on investment.

Rather than focusing exclusively on increasing computing power, efforts should concentrate on designing specialized business applications rooted in the needs of research, healthcare, and industry.

Architecture serving strategic autonomy

Achieving independence does not rely on using a monolithic tool, but on deploying intelligent structures.

The example of Dassault Systèmes highlights this approach: by orchestrating a multitude of specialized models, each fulfilling a defined role, it becomes possible to guarantee high-level results. This approach drastically reduces dependence on a single provider.

This organizational model thus makes it possible to reconcile technical performance requirements with sovereignty imperatives.

Trust as the cornerstone of European AI

The emergence of trustworthy European AI does not depend on a single factor, but on a synergy of requirements: controlled infrastructure, a robust ethical framework, the use of company-specific data, strong technological capabilities, and the development of concrete use cases.

The continent already has the expertise and partners needed to win this race. The main challenge now is to unite these strengths behind a common goal: to build AI that protects sovereignty, performs on a global scale, and is widely integrated into our economies.

Key takeaways

1. Sovereignty starts with control of infrastructure

Europe cannot claim autonomous AI without controlling the entire technological stack, from hardware (especially GPUs) to software. Today, dependence on foreign players weakens its capacity for innovation. The priority is therefore to strengthen industrial capabilities and build sovereign infrastructure, an essential condition for independent decision-making and sustainable innovation.

2. Trust and ethics become a competitive advantage

European AI must differentiate itself through reliability. This requires strong guarantees: human oversight, security, transparency, respect for data and intellectual property. The challenge is no longer just to make AI work, but to prove that it is trustworthy. This requirement can become a lever for competitiveness against other global powers.

3. Impact depends on real-world use cases and performance

Beyond sovereignty, Europe must create real value. This involves business use cases (industry, healthcare, etc.), leveraging company-specific data, and efficient architectures (such as specialized models rather than a single general model). The dual objective is to accelerate adoption and deliver globally competitive solutions.

These three pillars infrastructure, trust, and use cases together form the foundation of a European AI that is sovereign, credible, and high-performing.

L’article How can Europe ensure the deployment of sovereign and trustworthy AI? est apparu en premier sur OUTSCALE blog.

Digital sovereignty: when collaborative solutions scale up

OUTSCALE — Tue, 21 Jul 2026 08:16:38 +0000

The question is no longer whether sovereign collaborative solutions should be adopted, but rather how to deploy them concretely at scale. This was precisely the focus at OUTSCALE Experiences 2026, during a roundtable featuring Stéphanie Schaer (former head of DINUM), Jean-Pierre Lach (CEO of Private Discuss) and Philippe Miltin (CEO of OUTSCALE).

The DINUM suite: 500,000 users and a three-part solution stack

For several years, DINUM has coordinated a catalog of interministerial collaborative resources for French civil servants. The operational continuity of public services now relies on three major technological pillars:

Tchap: secure messaging with more than 800,000 accounts, including half a million active users.
Visio: a trusted videoconferencing solution whose full rollout across all ministries was approved in early 2026.
France Transfert: a platform dedicated to secure document sharing.

These solutions prioritize interoperability and open standards, such as the Matrix protocol used by Tchap. They are hosted on infrastructures certified SecNumCloud by ANSSI, ensuring optimal protection for sensitive government data.

“Controlling our videoconferencing tool is critical because it is the central lever in crisis management. Its accessibility must be guaranteed at all times and across the entire territory.” – Stéphanie Schaer, Former Interministerial Director for Digital Affairs (DINUM)

A robust and structured security architecture

For Stéphanie Schaer, the resilience of government digital solutions is no accident. DINUM deploys a cybersecurity strategy structured in multiple layers, built on rigorous organization.

The pillars of continuous protection

Security is approached as a dynamic and ongoing process. This framework relies on essential foundations to ensure system integrity:

Compliance and certification: regular audits and approvals based on ANSSI standards;

Ethical hacking: bug bounty programs across all tools developed by DINUM;

Monitoring and response: a dedicated CSIRT for event log analysis and incident handling;

Continuous improvement: systematic post-incident feedback analysis.

The regulatory framework, reinforced by the SREN law, now requires entities handling sensitive data to use SecNumCloud-certified hosting. In this respect, OUTSCALE provides a fully compliant solution.

Sovereignty ≠ loss of productivity

Jean-Pierre Lach, CEO of Private Discuss, immediately dismissed a persistent misconception: that sovereignty undermines efficiency.

“No one questions the productivity loss of locking their headquarters or implementing access control at the office entrance. It is essentially the same idea.” – Jean-Pierre Lach, CEO of Private Discuss

To compete with American standards (Teams, Zoom, WhatsApp), Private Discuss has opted for total rigor: equivalent functional coverage, user experience on par with market leaders, full end-to-end code control, and even white-label capabilities for large enterprises wishing to integrate the solution into their brand identity.

Among its clients: EDF, which won a European tender open to all collaboration providers, with a clear strategy to secure 10% of its sensitive communications. Also Enedis and Fram.

The most critical use cases

Private webinars in the defense sector for pre-sales on confidential R&D topics
Multi-company collaboration on sensitive defense projects
Business continuity plans in case of a “kill switch”: preconfigured crisis rooms activated within minutes
Protection of the decision-making process, not just documents but also the exchanges surrounding their creation
Compliance with extraterritorial laws: using an uncontrolled tool can effectively serve as evidence of non-compliance in a U.S. court

The role of infrastructure: SecNumCloud and AI

Philippe Miltin emphasized that without certified infrastructure, even the best collaborative applications lose their value. OUTSCALE’s SecNumCloud qualification is the foundation supporting solutions from DINUM and Private Discuss.

Beyond pure security, AI integration is emerging as the key differentiator. Automatic transcription, meeting summaries, real-time assistance during videoconferences: these features are becoming expectations rather than options. Delivering them at scale—hundreds of thousands of users on the public sector side, tens of thousands in critical industries—requires sovereign GPU capabilities.

“AI in videoconferencing is now an absolutely essential feature.” – Philippe Miltin, CEO, OUTSCALE

OUTSCALE also supports its partner ecosystem: Jamespot, Interstis, Hexagone, CollabNext, and hosts Swym, the collaborative tool integrated into Dassault Systèmes’ 3DEXPERIENCE platform, used by 400,000 clients.

Towards European digital commons

The European dimension may be the most structurally significant ambition in the long term. DINUM is working to build a European alliance around digital commons, materialized through the creation of an EDIC (European Digital Infrastructure Consortium). Founding countries include France, Germany, the Netherlands, Italy, and Luxembourg, later joined by Poland and Denmark.

The goal is to pool public and private investment at the European level to develop sovereign alternatives across all technological layers (messaging, cloud, AI, cybersecurity), relying on open standards such as Matrix, OpenID, and Kubernetes.

This momentum is now officially recognized: the European Commission recently published its open-source strategy, identifying digital commons as a key lever of sovereignty.

Key Takeaways

The OUTSCALE Experiences 2026 roundtable demonstrated this clearly: sovereign collaborative solutions are no longer limited to pioneering public administrations. They are now used by hundreds of thousands of public sector employees, major listed industrial groups, and defense players, with performance and user experience levels that rival non-European providers.

The combination of SecNumCloud-certified infrastructure, applications built on open standards, and growing AI integration is shaping a mature sovereign ecosystem capable of scaling. The ongoing European momentum could, in the coming years, turn it into a model exportable well beyond French borders.

L’article Digital sovereignty: when collaborative solutions scale up est apparu en premier sur OUTSCALE blog.

How French Customs Deployed a Sovereign AI for 17,800 Agents

OUTSCALE — Mon, 20 Jul 2026 14:25:22 +0000

As part of OUTSCALE EXPERIENCES, this plenary session highlighted a major transformation led by the French Directorate General of Customs and Indirect Taxes (DGDDI). Undertaking a complete overhaul of its customs code from 500 to 1,200 articles, the institution had to support a rapid upskilling of its agents, who were faced with significant regulatory changes.

To address this operational challenge, the DGDDI deployed a natural language artificial intelligence assistant, accessible on mobile devices, to facilitate the application of the new rules in the field.

On this occasion, Jérôme Sandrini, CRO at OUTSCALE, Éric Laurent, Head of the “IT Support” Office at DGDDI, and Quentin Lebourgeois, Public Sector AI Services Lead at Sopra Steria, shared their feedback and perspectives on this project.

Challenges and Issues

The legislative restructuring caused a loss of reference points for agents. The expansion to 1,200 articles made the application of rules less predictable, raising numerous operational questions, particularly during field missions.

After several pilot experiments starting in 2024, the DGDDI launched an industrialization phase in 2025 with the goal of a full-scale rollout by May 1, 2026.

Strategic Requirements and Priorities

To guide its technological and contractual decisions, the DGDDI established a set of core requirements. The protection and confidentiality of sensitive information were top priorities, alongside a strong sovereignty requirement involving hosting in France and guaranteed reversibility of systems.

From an operational standpoint, the tool needed sufficient performance and robustness to support approximately 17,800 users, while remaining flexible enough to adapt to evolving usage and regulatory changes. Given these security and compliance constraints, the administration opted for a sovereign architecture based on open source, using the UGAP procurement channel.

Systems and Infrastructure Implemented

The solution relied on close collaboration between three key entities: the DGDDI, which defined business needs; Sopra Steria, responsible for technical integration and software design; and OUTSCALE, which provided hosting on a sovereign SecNumCloud-certified Cloud infrastructure, ensuring computing power (GPU), flexibility, and rapid deployment.

To enable fast rollout and efficient scaling without heavy hardware investment, OUTSCALE provided an industrialized Cloud infrastructure optimized for GPU resources.

Jérôme Sandrini, Chief Revenue Officer at OUTSCALE, emphasized that for any large-scale AI project, Cloud usage becomes essential. OUTSCALE delivers “this elasticity combined with security and the well-known SecNumCloud certification.” He also highlighted the critical role of a partner ecosystem in accelerating time-to-market and enabling large-scale integration of new services.

Acting as the bridge between technical infrastructure and operational needs, Sopra Steria industrialized all components: conversational interfaces, ingestion pipelines, retrieval-augmented generation (RAG), and vectorization. To ensure security and operability while preventing “shadow AI,” the company integrated the solution into the information system, including directory services, authentication, and the SOC.

According to Quentin Lebourgeois, Head of AI for Public Services at Sopra Steria, “the use of managed sovereign solutions made it possible to build a response tailored to business challenges while avoiding the complexities of infrastructure management.”

According to the DGDDI, the project’s success was based on several strategic pillars: strong executive support, clear prioritization of needs with security and sovereignty at the forefront, and a pragmatic approach informed by past experience. To facilitate industrialization, deployment began with a simplified use case. As Éric Laurent, Head of the “IT Support” Office at the DGDDI, noted, “the operational goal was to provide agents with a natural language assistant directly accessible on their mobile devices during their daily operations.”

Key Takeaways

The value of generative AI lies in its ability to address immediate business needs. By focusing on regulatory support for field agents, the DGDDI removed a major operational bottleneck, enabling agile integration and organization-wide adoption.
The project’s success relied on a demanding technical foundation: the use of a SecNumCloud-certified Cloud, open-source technologies, and strict adherence to sovereignty criteria such as local hosting, reversibility, and interoperability with the information system. This strategy ensured a balance between technological progress and regulatory compliance.
The success of this large-scale deployment was driven by the complementarity of a strategic trio: deep understanding of business challenges, tailored technical integration, and scalable infrastructure. This close collaboration between the DGDDI, Sopra Steria, and OUTSCALE enabled rapid service expansion while maintaining a high level of security.

L’article How French Customs Deployed a Sovereign AI for 17,800 Agents est apparu en premier sur OUTSCALE blog.

OUTSCALE EXPERIENCES 2026: from vision to action

OUTSCALE — Tue, 14 Apr 2026 13:08:46 +0000

Sovereign Cloud, artificial intelligence, sensitive data: organizations are moving from exploration to execution. They must now decide, structure, and deploy.

Regulatory constraints are becoming stricter, data sovereignty is turning into a strategic priority, and AI is transforming operational models. At the intersection of these realities, technology choices directly impact organizations’ competitiveness, resilience, and ability to innovate.

It is precisely to support this transition that we designed OUTSCALE EXPERIENCES 2026. Following a 2025 edition marked by real-world use cases, our ambition is to go further helping turn your projects into tangible deployments: more practical use cases, more operational answers to regulatory, sector-specific, and technological challenges.

Addressing Cloud and AI challenges in critical sectors

For organizations operating in critical sectors, the priority is to build a Cloud environment capable of securing sensitive data, protecting intellectual property, and ensuring continuous regulatory compliance throughout their digital transformation.

At the core of OUTSCALE EXPERIENCES 2026 :

Healthcare: responsible AI, health data, accelerated clinical trials
Financial services: regulatory compliance, agentic AI, investment rule detection, reporting
Public sector: digital sovereignty, sovereign Cloud, end-to-end solutions

How can organizations deploy generative AI tailored to their business needs within a controlled, compliant, and operational framework?

A sovereign Cloud enables innovation without compromising security and compliance, while allowing organizations to scale and maintain full control over their data and infrastructure.

Participants will explore sovereign Cloud and AI solutions designed to meet the highest requirements of critical environments in terms of security, compliance, and performance.

The event will also showcase technological innovations rooted in real-world use cases, such as virtual twins, enabling organizations to simulate, anticipate, and scale operations.

An event to exchange, decide, and accelerate your projects

OUTSCALE EXPERIENCES 2026 is designed as a space where strategic thinking turns into operational decisions, closely aligned with business challenges and real-world constraints.

The event brings together stakeholders who design and operate sovereign and secure digital environments, with a comprehensive program including strategic keynotes, sector-focused roundtables, hands-on workshops, customer feedback sessions, and high-quality networking opportunities.

Participants will benefit from an environment conducive to exchanging with peers facing similar challenges and enriching their perspective through real-world insights.

By bridging strategic vision and operational reality, the event provides organizations with the conditions needed to accelerate their Cloud and AI projects within a sovereign and secure framework leveraging proven approaches and well-informed technology choices.

If these challenges are at the top of your 2026 priorities, join us!

June 9, 2026
CNIT Forest – Paris La Défense
Register now

L’article OUTSCALE EXPERIENCES 2026: from vision to action est apparu en premier sur OUTSCALE blog.

SimuGreen: Empowering Companies to Calculate and Optimize Energy Consumption

Dina O'Reilly — Wed, 19 Jul 2023 15:40:02 +0000

Conscious of their environmental impact, companies are seeking innovative solutions to reduce energy consumption of their services. Cloud technology provides an opportunity to optimize energy usage and contribute to a more sustainable and environmentally friendly IT infrastructure.

It helps achieve cost savings as a shared pool of IT resources and services reduce the need for IT equipment, improve efficiency, leverage technological advancements, and focus on core business activities. Better scalability and flexibility lead to improved performance and cost-effectiveness for Cloud service users: a shared pool of on demand access resources mean you can easily transform your architecture, scale it, try new types of architecture, etc. Of course, decreasing energy consumption also helps support sustainability goals and demonstrate corporate responsibility.

Partnering with Cloud service providers that prioritize energy efficiency can help companies establish themselves as leaders in sustainability within their industry, attracting environmentally conscious customers and partners while enhancing their reputation and contributing to a positive brand image.

Introducing SimuGreen

During the CLOUD DAYS event, 3DS OUTSCALE presented SimuGreen, a simulator designed to help our clients and partners measure and optimize their energy consumption. This live session by Arthur Vervaet, Big Data and Artificial Intelligence PhD student at 3DS OUTSCALE, Maxime Dufour, open source developer at 3DS OUTSCALE, and Julia Soloveva, Master’s student at Isep Engineering School and the University of Vienna, explores the studies behind power efficiency in programming languages, introduces SimuGreen and the tests conducted, and presents the results achieved. Evgeny Vasyuk from 3DS OUTSCALE’s Data science team also greatly contributed to the project.

Watch below the replay of the presentation:

Power Efficiency of Programming Languages

Recent research supervised by Professor Joao Saraiva from Portugal was focused on studying the power efficiency of different programming languages. Findings from these studies have revealed significant differences in power consumption. For example, C was found to be 75 times more power efficient than Python in certain scenarios. While these results do not suggest that one should exclusively code in C, they emphasize the impact of programming language choices on the overall power efficiency of a system ^[1].

SimuGreen: A Powerful Simulator

SimuGreen is a simulator developed to estimate the energy consumption of a system based on its architecture and test scenarios. By providing scripts that define the target architecture and desired service operations, users can leverage SimuGreen to obtain accurate consumption estimates. The tool calculates the total power consumption of the system under specific scenarios, enabling quick and efficient benchmarking of multiple architectures.

SimuGreen utilizes a Cloud environment where virtual machines and hypervisors coexist. Users execute multiple runs of their system to account for variations in results caused by shared virtualization infrastructure. By averaging the estimations, SimuGreen provides a reliable power consumption figure.

During a hackathon organized by Sagemcom, 3DS OUTSCALE and Isep engineering school, 16 teams competed to reduce the power consumption of a given service, written in Python, using SimuGreen and TerraForm to deploy the service into a OUTSCALE Cloud. They tested through multiple estimation runs (due to the shared Cloud environment) software optimization techniques, such as code simplification and algorithmic improvements, proved effective in reducing power consumption. Hardware optimization, particularly tuning virtual machine specifications for specific components like databases, yielded further gains. Remarkably, even within the limited 24-hour timeframe, some teams achieved nearly a tenfold reduction in power consumption for the proposed system. These findings highlight the potential impact of SimuGreen and the importance of considering power efficiency in system design.

Two Main Optimization Approaches: Software Optimization and Hardware Optimization

Software Optimization: Teams identified code segments with high power costs through profiling and employed methods such as code simplification, refactoring, and algorithmic improvements. Teams also optimized SQL queries and explored the possibility of using compiled libraries or alternative frameworks.

Hardware Optimization: Given the Cloud environment, teams had the flexibility to tune virtual machine parameters to enhance performance. For example, they optimized disk input/output rates for components like databases to ensure optimal disk usage. These optimizations were conducted within a 24-hour timeframe and do not represent an exhaustive list of possibilities.

Watch the replay below to learn more about these tests!

Further Optimizations and Future Work

Julia, who worked on SimuGreen during her master’s thesis, made additional optimizations resulting in significant decreases in virtual machine and idle compute consumption, ultimately reducing overall energy consumption by around 58% (SimuGreen allows to use four metrics which are virtual machine consumption, idle compute consumption, traffic power consumption and the total energy consumption). In fact, rewriting the code in Java and merging the virtual machines resulted in virtual machine consumption decreasing by approximately 64% and idle compute consumption by around 77%. Execution time was also optimized by over 50% in certain cases.

Future enhancements for SimuGreen include incorporating memory consumption measurements, alongside energy and time comparisons, as explored in a scientific paper by Portuguese scientists. Additionally, presenting data in graphical format could simplify the tool’s usage, especially for students and researchers.

Conclusion

SimuGreen presents a powerful solution for companies seeking to measure and optimize their energy consumption. By leveraging SimuGreen’s simulator, businesses can benchmark and optimize multiple architectures quickly and efficiently. The hackathon results demonstrate the tool’s potential for substantial power consumption reduction. As SimuGreen continues to evolve, future optimizations and extensions will further enhance its capabilities in helping organizations achieve greater energy efficiency.

Read articles by Raja Chiky, Alliances & CSR Director at 3DS OUTSCALE, here and here, and visit our website to learn more about our commitment to responsible and sustainable technology.

[1] Pereira, Rui, et al. “Energy efficiency across programming languages: how do energy, time, and memory relate?.” Proceedings of the 10th ACM SIGPLAN international conference on software language engineering. 2017.

L’article SimuGreen: Empowering Companies to Calculate and Optimize Energy Consumption est apparu en premier sur OUTSCALE blog.