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.
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:
