Sovereignty - OUTSCALE blog

Sovereign AI and sovereign cloud: how can public-sector projects be accelerated?

OUTSCALE — Tue, 29 Sep 2026 12:56:55 +0000

At OUTSCALE EXPERIENCES 2026, Mireille Mege, Public Sector Customer Success Manager at OUTSCALE (Dassault Systèmes), and Clara Pascolo, Chief Operating Officer at SMLB Next, explained how Nuage Public simplifies public-sector access to sovereign cloud, drawing on its partnership with OUTSCALE and the generative AI bundles from Mistral available on the OUTSCALE Marketplace.

For public administrations and parapublic organizations, public cloud provides a practical entry point to secure, compliant and scalable environments capable of adapting to business needs.

The success of these projects relies on a structured approach: identifying a relevant initial use case, ensuring the protection of sensitive data, selecting the appropriate level of support and anticipating industrialization from the earliest stages.

Nuage Public as a starting point

The UGAP Nuage Public marketplace provides access to cloud services for more than 26,000 public- and parapublic-sector beneficiaries. It enables organizations to define their needs, specify their technical and regulatory requirements, and then be directed to cloud providers capable of meeting them.

This approach facilitates the launch of artificial-intelligence projects, often in the form of a proof of concept. It responds to two main trends. Some organizations want to implement the Cloud au Centre doctrine promoted by DINUM. Others want to use AI in a more secure and controlled environment.

The Nuage Public marketplace combines several factors that are important for public procurement: negotiated prices, a simplified process, guidance toward relevant offerings and shorter deployment times. In some cases, a project can start in less than a month, while the purchase order can be processed very quickly when the requirements are clearly defined.

Public-sector priorities

Organizations launching a sovereign-AI project generally have three main expectations.

Controlling data location

The first question concerns where data is located and how it is processed. Users want to prevent sensitive data from being transferred to environments they do not control. This concern applies in particular to administrative data, health information, identity documents, financial data and defense-related information.

Sovereignty therefore becomes a central decision criterion. Data must be processed and stored in an environment that meets the organization’s requirements, with particular attention paid to access, permissions and the platform’s operating conditions.

Reducing shadow-AI risks

Employees may be tempted to use AI services directly available online, particularly to query language models with professional information. This practice creates a risk of losing control over the data entered and where it is sent.

A sovereign-AI environment provides users with a controlled framework. The organization can define authorized services, manage access and encourage the use of models hosted in an environment that meets its security requirements.

Preparing for industrial deployment

A project often begins with a limited use case. Once the initial results are positive, other needs emerge. The organization may then want to analyze more documents, automate additional steps or use several models.

The selected architecture must therefore be able to evolve. A scalable offering facilitates the transition from proof of concept to production and then to multiple use cases. This industrialization capability must be considered from the outset to avoid having to redesign the entire technical environment later.

Three AI project offerings

Public-sector organizations can choose between several approaches. The right option depends on the desired level of control, the number of models required, the available resources and the expected level of support.

Consuming compute resources

The first use case consists of providing the resources required to run language models. The organization consumes compute including CPU, RAM and GPU and then uses the models at its disposal.

This approach offers significant technical freedom. It is suitable for teams capable of deploying and administering their own environment. However, they must manage several components themselves, including resource configuration, Nvidia drivers and the components required to run the models.

Deploying a Mistral bundle

The second use case is based on Mistral bundles. This offering provides a ready-to-use solution, with a Mistral model deployed in a tenant dedicated to the customer. Deployment takes place through the Marketplace and can be completed quickly after the order has been placed.

The customer receives a directly accessible endpoint to begin its work. Mistral models are supplied with their licenses, and the environment is dedicated to the organization. Data therefore remains within the designated environment in France, in accordance with the characteristics of the offering.

The bundles offer unlimited token consumption. However, capacity remains determined by the available hardware resources, particularly the number of GPUs associated with the model and the use case. Depending on requirements, one or two GPUs may be offered.

This option is especially suitable for organizations that want to use a language model without managing the entire technical stack themselves. It reduces initial complexity and accelerates access to an operational solution.

Building a Mistral AI Studio platform

The Mistral AI Studio platform is designed for projects requiring multiple models and several usage scenarios. It may be appropriate when an administration wants to analyze documents, perform optical character recognition, verify information or cross-check a form against an identity document.

In this configuration, the offering is built together with the customer. Use cases are analyzed in advance to select the appropriate models. It is generally advisable to begin with two or three clearly defined use cases and then design a coherent solution around those needs.

This approach creates a customized and scalable environment. Mistral also supports the customer in tuning the solution and adapting it to the identified use cases. Additional support may be provided for Kubernetes-related operations, including model updates and platform upgrades.

Toward hybrid model consumption

Organizations may need several model families depending on their use cases. A Mistral model may be suitable for one scenario, while a Llama model or another open-source model may be more effective for another task.

This is leading toward hybrid model consumption. The stated objective for the first half of 2027 is to offer an AI Factory capable of adapting GPU consumption to the intensity of the use cases and the models being used.

Such an approach should make it possible to allocate resources according to actual needs. It opens the way to more flexible use of AI infrastructure, with greater adaptability across models, workloads and expected performance levels.

Moving from proof of concept to production

Choose a manageable first use case

The choice of the first use case influences the rest of the project. An organization benefits from starting with a clearly defined need that is useful enough to produce measurable results and simple enough to be mastered quickly.

This initial stage helps identify technical constraints, security requirements, support needs and monitoring arrangements. It also provides valuable feedback before AI is extended to more complex processes.

The approach can follow three priorities:

select a concrete and relatively simple use case;
measure results and resource consumption;
prepare for expansion to other use cases.

Organize security workshops

Security workshops play an important role in projects involving several models or sensitive data. They help define authorized users, roles, access rights and the conditions governing use of the platform.

This preparation should take place before operational deployment. It helps establish a trusted framework and align the technical environment with the organization’s internal security requirements.

Security also concerns project governance. Teams must know what data may be processed, by which users and under what conditions. These rules facilitate adoption and limit uncontrolled use.

Plan for operational support

The required level of support depends on the selected offering and the skills available internally. An organization consuming compute resources directly must have the capabilities needed to administer its environment. A turnkey solution reduces this burden. A multi-model platform requires closer collaboration around use cases, models and their evolution.

Support may also cover Kubernetes operations, model updates, version upgrades and platform optimization. This becomes particularly important when the solution moves from experimentation to production.

Managing costs and environmental impact

Controlling consumption is a major issue in public procurement. The available budget must be considered alongside the resources used, including GPUs, tokens and other cloud components.

Monthly monitoring makes it possible to identify resources that have been ordered but are seldom used, and then adjust the environment. This consumption review also helps prepare for project expansion using actual data rather than initial estimates.

FinOps provides a framework for financial management. It makes it possible to compare deployed resources with observed usage and arbitrate between performance, sovereignty, cost, support and scalability.

Green IT complements this analysis. A carbon calculator can be used to track changes in the footprint associated with resource consumption. It may reveal overconsumption caused by virtual machines left running during inactive periods or by resources being deployed without a corresponding operational need.

Financial and environmental consumption monitoring should begin in the early stages of the project. It promotes more precise resource usage and supports decisions related to scaling.

Balancing sovereignty, performance and scalability

The choice of an AI environment cannot be based on a single criterion. Organizations must consider data location, security, expected compliance, performance, cost, support quality and scalability at the same time.

Sovereignty is particularly important when data is sensitive. In this context, an environment located in France and designed to meet security requirements provides an appropriate framework for public- and parapublic-sector projects.

Performance must then be assessed according to the use case. A model intended for document analysis does not necessarily require the same resources as an environment running multiple models and several simultaneous processes.

Finally, scalability must be incorporated into the decision. A solution suitable for a proof of concept may become insufficient as the number of users, documents or use cases increases. The initial choice should therefore preserve the possibility of gradual industrialization.

Conclusion

Sovereign AI on public cloud provides public-sector organizations with a practical framework for experimenting with, securing and industrializing their use of artificial intelligence. The Nuage Public marketplace simplifies access to cloud providers, cloud offerings and conditions suited to public procurement.

The most effective approach is to start with a manageable use case, secure access and data, monitor consumption and then prepare for expansion to multiple models and scenarios. Compute-resource offerings, Mistral bundles and the Mistral AI Studio platform make it possible to adapt the level of freedom and support to the project’s objectives.

Discover the solutions available on the OUTSCALE Marketplace

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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.

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ÆTHER Consortium: Building Europe’s Industrial Capability for AI at Scale

OUTSCALE — Wed, 29 Jul 2026 08:22:06 +0000

Every year, European companies pay tens of billions of euros to American players for their Cloud software and services: a dependency now documented by several parliamentary reports, which call for a reconquest of European digital sovereignty.

But a dynamic of sovereignty cannot be decreed by a report: it is built through example, and through concrete industrial capabilities. This is precisely the ambition carried by the European ÆTHER consortium, in which OUTSCALE, the Cloud and AI brand of Dassault Systèmes, takes part.

What Is the ÆTHER consortium?

ÆTHER brings together complementary European players in energy, construction, high-performance computing, semiconductors, Cloud, and AI: 2CRSi, SiPearl, Axelera AI, Viridien, ÉS, Socomec, Haffner Energy, Equans, Demathieu Bard, Nhood, and Projex Ingénierie, alongside OUTSCALE.

The consortium pursues a clear ambition: to demonstrate that Europe possesses all the expertise required to design, build, power, operate, and scale AI infrastructure.

The consortium has announced its application for the European Commission’s “AI Gigafactory” call for proposals, launched as part of the EU’s digital and industrial sovereignty strategy. The project targets two sites in the Strasbourg region, FR-SXB1 and FR-SXB2, currently in advanced negotiations with the long-term ambition of reaching a total electrical capacity of more than 400 MW.

“Industrial AI will only deliver on its promise if Europe builds infrastructure equal to its ambitions”, Florence Verzelen, Executive Vice President EMEA, Dassault Systèmes

OUTSCALE's role: turning compute into sovereign, secure, and industrialized Cloud and AI services

Concretely, OUTSCALE brings to ÆTHER its expertise as a sovereign Cloud and AI operator: the ability to turn large-scale compute power into secure, governed, and industrialized services for businesses, institutions, and research organizations.

“As the Cloud and AI foundation of Dassault Systèmes, OUTSCALE brings to ÆTHER unique expertise at the intersection of sovereign cloud, high-performance computing, and mission-critical industrial applications. Our ambition is to enable businesses, public institutions, and research organizations to develop and operate their AI models in high-performance, secure, and sovereign environments that protect data, know-how, and intellectual property. With ÆTHER, Europe is equipping itself with a strategic industrial capability to design, host, and operate AI at scale”, Arnaud Bertrand, Chief Technology Officer, OUTSCALE, and Senior Vice President, Cloud R&D, Dassault Systèmes.

A capability that reinforces an already established strategy

Joining ÆTHER doesn’t start from scratch: it reinforces the AI Factories strategy that Dassault Systèmes has entrusted to OUTSCALE, which already aims to provide the Cloud, orchestration, and execution capacities needed to train, infer, and operate AI models at scale in critical environments. ÆTHER brings an additional European capability to this trajectory, aligned with the needs for sovereignty, performance, and scale in industrial AI.

All the pieces already exist: now they need to be connected

Europe today has every piece in the AI value chain: energy, Cloud, high-performance computing, semiconductors, industrial software, and research. The value of the ÆTHER consortium, like that of any AI Gigafactory project, will be measured by its ability to connect these links to serve concrete use cases: training models, adapting them, operating them, securing them, governing them, and integrating them into organizations’ business processes.

This is the ambition that OUTSCALE, Dassault Systèmes, and all the partners of the ÆTHER consortium carry forward together.

View the press release.

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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.

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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.

Sovereign AI Finance: Taking Back Control of Data and Models

OUTSCALE — Wed, 04 Mar 2026 13:11:41 +0000

Sovereign AI in Finance: Regaining Control Over Data and Models

In an increasingly digital and interconnected economy, sovereign approaches to artificial intelligence are becoming a strategic necessity for organizations seeking to regain control over their data, algorithms, and decision-making systems. As financial services and critical industries grow more dependent on AI, the question of control is no longer optional, it is foundational.

Sovereign AI finance enables institutions and governments to ensure that data, AI models, and financial decision systems remain under local jurisdiction, aligned with regulatory frameworks and protected from external dependencies.

The Imperative for AI Sovereignty in Finance

The growing importance of AI sovereignty in financial services is driven by a combination of regulatory, economic, and security pressures.

Data Protection and Financial Privacy

Financial and sensitive data must be processed within strict legal frameworks. Keeping customer data, transaction records, and risk models within controlled jurisdictions reduces exposure to external access, misuse, and compliance risks.

Economic and Strategic Independence

Dependence on external AI systems and cloud infrastructure creates vulnerabilities such as vendor lock-in and pricing uncertainty. Developing local capabilities strengthens financial autonomy and supports long-term innovation.

Regulatory Alignment in Financial Systems

Financial institutions operate under complex and evolving regulatory environments. Embedding compliance into AI-driven processes helps ensure alignment by design, reducing operational friction and regulatory exposure.

Security and Critical Infrastructure Protection

Financial systems are part of critical national infrastructure. Strengthening control over AI and data enhances resilience against cyber threats and ensures continuity of services in the event of external disruptions.

Core Pillars of a Sovereign AI Ecosystem

A robust and sustainable ecosystem relies on several foundational components.

Local Financial Data Infrastructure

Secure, locally hosted infrastructure ensures that sensitive financial data remains within regulated jurisdictions, reinforcing compliance and trust in AI-driven systems.

Localized AI Models

Models trained on regional financial data improve accuracy, fairness, and regulatory alignment. They also better reflect local economic conditions and legal frameworks.

Governance and Ethical Frameworks

Strong governance ensures transparency, accountability, and auditability of AI systems. This includes explainability requirements and risk classification for financial AI applications.

Public and Private Collaboration

Collaboration between governments, financial institutions, and technology providers is essential to build resilient ecosystems that balance innovation with regulatory compliance.

Challenges in Adoption

Despite its advantages, implementing sovereign AI strategies in finance presents several operational and structural challenges.

High investment requirements for infrastructure and transformation
Shortage of AI and data expertise
Fragmented and evolving regulatory environments
Legacy financial systems limiting integration

Strategic Roadmap for Implementation

A structured and phased approach is essential to successfully deploy sovereign AI capabilities.

Identify high-impact financial use cases where control is critical
Build partnerships to develop secure and compliant infrastructure
Develop or adapt AI models aligned with local regulatory requirements
Implement strong governance and risk management frameworks
Strengthen cybersecurity and operational resilience
Upskill both financial and technical teams

The Future of AI Sovereignty in Finance

Several trends are shaping the evolution of sovereign AI in financial services:

Hybrid AI architectures combining control and flexibility
Automation of compliance and regulatory monitoring
Emergence of cross-border AI standards in finance
Expansion of sovereign and regional AI ecosystems

Conclusion

Sovereign AI finance represents a fundamental shift in how financial systems are designed, governed, and secured. As organizations seek to reduce dependency on external infrastructures and strengthen compliance, control over data and models becomes a core strategic requirement.

By investing in local infrastructure, developing tailored AI models, and reinforcing governance frameworks, financial institutions can build systems that are secure, transparent, and aligned with regulatory expectations.

Ultimately, this approach is not just a technological evolution—it is a structural transformation toward a more resilient, autonomous, and trustworthy financial ecosystem.

L’article Sovereign AI Finance: Taking Back Control of Data and Models est apparu en premier sur OUTSCALE blog.

Asset Management and AI: Why Sovereignty Has Become an Essential New Digital Imperative

OUTSCALE — Tue, 10 Feb 2026 14:08:39 +0000

In the financial sector, the adoption of artificial intelligence cannot come at the expense of data security and sovereignty.

Sensitive Information Facing Extraterritorial Laws

Asset Managers handle highly sensitive information on a daily basis: proprietary investment strategies, confidential client data, and portfolio positions. These digital assets are exposed to major risks, particularly legal ones.

The U.S. Cloud Act perfectly illustrates this vulnerability. This legislative framework allows U.S. authorities to access data stored with U.S. Cloud providers, even when physically hosted in Europe. For a European financial player, this exposure represents a dual risk: regulatory non-compliance and loss of strategic control over its assets.

Automating to Focus on Value-Added Activities

Beyond data protection, asset management firms must successfully achieve their digital transformation to gain efficiency and productivity. AI enables them to:

Optimize the time spent analyzing complex documents (annual reports, Private Equity data rooms, real estate programs)
Automate regulatory compliance by facilitating the processing of SFDR or PRIIPs documents
Accelerate decision-making through the generation of clear summaries of essential information

The objective is clear: free teams from repetitive drafting and formatting tasks to allow them to focus fully on higher value-added missions.

A Sovereign Solution with SecNumCloud 3.2 Infrastructure

To address these challenges, OUTSCALE and Mistral AI offer “le Chat” and “AI Studio” on OUTSCALE’s SecNumCloud 3.2 region. This qualification represents the highest level of security for data and intellectual property in France.

OUTSCALE’s infrastructure is based on a sovereign stack: your data remains located in France, under French jurisdiction, thus guaranteeing total control of your strategic assets.

This SecNumCloud 3.2 qualification imposes strict requirements in terms of governance, traceability, and resilience. Every access is audited, every operation is traced, and the infrastructure is designed to resist the most advanced threats. No foreign authority can legally demand access to your information.

Combining Cloud & AI in a Sovereign and Secure Environment

Artificial intelligence is transforming the Asset Management profession. But this technological evolution must not come at the cost of strategic dependence or legal exposure.

By combining the excellence of Mistral AI solutions and the sovereignty guaranteed by OUTSCALE’s SecNumCloud 3.2 infrastructure, Asset Managers can now benefit from the best of both worlds: innovation and total control of their most sensitive assets.

In an uncertain geopolitical context and facing increasingly strict regulatory requirements, choosing sovereign AI is a strategic imperative for financial players who wish to remain competitive while preserving their strategic autonomy.

L’article Asset Management and AI: Why Sovereignty Has Become an Essential New Digital Imperative est apparu en premier sur OUTSCALE blog.

European Digital Sovereignty: the urgency of a collaboration-driven model

OUTSCALE — Tue, 10 Feb 2026 09:32:21 +0000

Yesterday in Berlin, the Summit on European Digital Sovereignty brought together public decision-makers, industrial leaders, and technology stakeholders committed to strengthening Europe’s strategic autonomy.

OUTSCALE, Dassault Systèmes, was represented by David Chassan, Chief Strategy Officer, contributing to discussions on the future of sovereign digital technologies and the essential role European companies must play.

The summit strongly reaffirmed one key message: sovereignty cannot exist without collaboration: collaboration between states, between industries, and above all between European technology players capable of delivering credible, secure, and high-performance alternatives to non-European solutions.

It is in this spirit that, at OUTSCALE, we are developing strong cooperation with companies such as Mistral AI, whose expertise and models represent a key pillar of the next generation of sovereign AI.

Europe facing the challenge of digital sovereignty

The rapid acceleration of innovation (generative AI, virtualization, automation) is prompting European organizations to rethink the balance between innovation and control, as highlighted by Anne Le Hénanff, Minister Delegate for Artificial Intelligence and Digital Affairs. How can organizations innovate quickly while preserving compliance, security, data governance, and control?

This question is particularly critical for sensitive sectors where regulatory requirements are particularly strict: the public sector, healthcare, defense, financial services, and other critical industries.

The response can no longer be fragmented. It must be systemic, structured, and continuous, spanning infrastructure, software, and AI models.

The Berlin summit made this clear: Europe has the talent, the technologies, and the vision, provided it moves forward together.

Sovereign digital technology: a collective project

The European ministers’ collective speech reaffirmed that digital sovereignty is built first and foremost on a collective ability to produce, protect, and leverage our own technologies.

Three structuring principles emerged:

1. Cloud and AI: mastering choices to innovate

As emphasized by German Federal Minister for Digital Transformation and Government Modernization Karsten Wildberger, Europe has credible Cloud and AI alternatives designed and operated in Europe.

“At OUTSCALE, we have no technological dependency on the United States,” said Philippe Miltin, OUTSCALE’s CEO, in a recent interview. “Our infrastructures, operated in France, are designed to ensure full and secure independence from extraterritorial laws, while meeting the most strict European standards.”

2. European regulation as a competitive advantage

Anne Le Hénanff’s message was clear: when the regulatory framework is well-defined, innovation accelerates. The challenge is no longer to oppose protection and innovation, but to define a realistic pace for deploying the AI Act and providing companies with a stable environment in which they can invest, develop, and scale.

3. Strengthened European collaboration

To unlock the value of our data, talent, and intellectual property, cooperation between states, industries, and research centers is essential.
It is this collaborative dynamic that transforms European innovation into real sovereignty.

As David Chassan explains : “Europe has the talent to build a technological model aligned with its values. Our mission now is to enable Europe to be an actor, not a spectator, of its digital destiny. To achieve this, sovereign AI and Cloud are essential levers, just like Energy or Defense.”

OUTSCALE × Mistral AI: sovereign cooperation serving critical sectors

At OUTSCALE, Dassault Systèmes, we embody this vision through a deeply collaborative approach.

Our conviction is simple: sovereignty is a team sport. No single player can deliver it alone, but each can contribute unique expertise within a framework of security, trust, and transparency.

With this in mind, we have developed a sovereign Large Language Models as a Service offering, built on Mistral AI technology. This solution is designed to meet the requirements of the public sector, healthcare, defense, finance, and all critical industries.

This combination brings together:

The power and quality of Mistral AI models
The security, compliance, and performance of OUTSCALE’s sovereign Cloud, SecNumCloud 3.2 qualified
Comprehensive data governance, essential in regulated environments

This cooperation demonstrates that Europe is capable of producing its own secure, reliable, high-performance generative AI models and operating them on controlled, auditable infrastructures aligned with European trust standards and the highest cybersecurity requirements.

David Chassan, Chief Strategy Officer – OUTSCALE, Dassault Systèmes, and Arthur Mensch, Co-founder and CEO – Mistral AI

Towards sustainable and collaborative digital sovereignty

Yesterday’s discussions show that Europe is entering a new era in which it builds its own technological foundations.
No longer just a consumer, but a producer of Cloud and AI technologies aligned with its values, rules, and ambitions.

By combining sovereign Cloud, European AI models, coordinated investments, and a robust regulatory framework, we are building a credible technological alternative and a digital model grounded in control and autonomy.

At OUTSCALE, we are fully committed to this goal, alongside European players such as Mistral AI, in order to lay the foundations for a new generation of sovereign experiences serving citizens, businesses, and governments.

We continue this commitment by actively participating in European initiatives, sharing our vision, and collaborating with an ever-growing ecosystem of talent and innovation.

European digital sovereignty is no longer an abstract objective: it is a project taking shape and that effort is collective.

L’article European Digital Sovereignty: the urgency of a collaboration-driven model est apparu en premier sur OUTSCALE blog.