en.Wedoany.com Reported - Michelle Ash, CEO of Dassault Systèmes' Simulia, recently stated that simulation data has become a core asset for enterprises. The industry not only requires faster simulation speeds but also needs to establish a system that can securely protect data while ensuring direct corporate control. Michelle Ash emphasized this point during a recent meeting with a group of Korean journalists, clearly stating that Simulia will focus on enhancing data sovereignty for enterprises while improving simulation speed.
Simulia is a simulation product brand under Dassault Systèmes, specializing in performance and reliability verification in a virtual environment during the product development phase, before actual manufacturing. Recently, the brand has been focusing on integrating AI with virtual twin technology to optimize the entire process from design to verification.

Michelle Ash defines data sovereignty as an enterprise's direct control over its internal data. She emphasized that companies not only need to guard against external attacks and copyright infringement but also must clearly understand and manage where data is stored, who has access, the scope of its use, and its creation and modification history. This perspective stems from the profound changes in the nature of simulation data. In the past, simulation data was often seen as a computational byproduct of product verification. However, in the AI era, it has transformed into core intellectual property that companies use to accumulate design know-how, analyze experiences, and verify history. With the widespread application of physical AI in industries, simulation data is being more actively used for product development and design optimization, expanding AI's access to internal data. The key lies in controlling where data is stored, who accesses it, and for what purpose.
To address this, Dassault Systèmes has built a system to strengthen data sovereignty. This system operates on the "3DEXPERIENCE (3DX) platform," allowing engineers to trace the entire simulation process—from design appearance and analysis models to verification results—and view real-time data access and usage. Additionally, the system refines information access based on data type, managing public information, industry knowledge, and customer-specific IP separately, while restricting AI's data access to prevent indiscriminate access to sensitive information within the enterprise. Michelle Ash predicts that such data sovereignty systems will be particularly applicable to highly regulated industries. Currently, Dassault Systèmes provides sovereign cloud and dedicated cluster environments for clients in sensitive sectors like defense and aerospace, ensuring client data operates in isolation from other organizations. The company will continue to meet security and compliance requirements across various industries in the future.
Strengthening NVIDIA Simulation Infrastructure… "Will Increase Computing Power"
While enhancing data sovereignty, Simulia is also simultaneously improving simulation performance. Michelle Ash believes that in the AI era, data protection and faster simulation execution and utilization are both indispensable. To this end, Dassault Systèmes is collaborating with NVIDIA in data center design and physical AI. In February of this year, the two companies established a long-term strategic partnership aimed at integrating Dassault Systèmes' virtual twin technology with NVIDIA's AI infrastructure and Omniverse platform.

This collaboration is driving improvements in Simulia's simulation performance. Simulia solvers are being specifically optimized for NVIDIA GPU environments to analyze performance enhancements from different physical phenomena and combinations of CPU and GPU configurations. In the future, Omniverse functionality will be integrated into the 3DX platform, with initial results from the collaboration expected to be announced as early as the end of this year.
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