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Dassault Systèmes and NVIDIA Develop AI Platform for Industry

Erkan Teskancan

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    ## Dassault Systèmes and NVIDIA Announce AI-Powered Virtual Twin Platform for Industry

    Dassault Systèmes and NVIDIA have formed a strategic partnership to combine their AI-powered virtual twin technologies, aiming to create a multi-sector applicable AI infrastructure.

    AI is increasingly being used to manage complex systems, improve simulation accuracy, and accelerate innovation in engineering, manufacturing, life sciences, and industrial research. This collaboration integrates Dassault's virtual twin technologies with NVIDIA's high-speed AI infrastructure and open model libraries, offering an AI architecture based on reliable and scientifically validated "industry world models."

    ### Key Features of the Platform

    • Integration of AI with virtual twins, supported by industrial data validated with physics and engineering principles.
    • Predictive simulation and operational optimization for complex systems in biology, materials science, engineering, and manufacturing.
    • Provision of deep industrial context within the 3DEXPERIENCE platform through the concept of "skilled virtual assistants" that complement human expertise.
    • Multi-continental deployment of AI factories with a priority on data privacy, intellectual property protection, and digital sovereignty.

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    ### Application Areas

    • Biology and materials science: Integration of NVIDIA BioNeMo platform with BIOVIA world models accelerates molecular discovery and material development processes.
    • Design and engineering: SIMULIA AI-based virtual twin physics behavior, combined with NVIDIA CUDA-X and physics libraries, enables faster and more accurate system behavior prediction.
    • Manufacturing systems: DELMIA virtual twins and NVIDIA Omniverse physical AI libraries support software-defined and autonomous manufacturing processes.
    • Human and AI collaboration: Virtual Assistants on the 3DEXPERIENCE platform, with NVIDIA Nemotron open models and industry-specific context, provide actionable and traceable analyses.

    ### Industry Adoption and Validation

    The partnership is built upon collaborations in various sectors, including food production, industrial automation, automotive engineering, and aerospace research. These examples aim for scalable simulations, validated design processes, and reduced time from idea to realization.

    Announced at the esteemed industry event 3DEXPERIENCE World, this collaboration revealed a shared vision where AI will serve long-term value creation as a fundamental, science-based capability.
     
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