Dassault Systèmes and NVIDIA announced a long-term strategic partnership to establish a shared industrial AI architecture that combines Dassault’s virtual twin technologies with NVIDIA AI infrastructure, open models and accelerated software libraries to create science-validated Industry World Models. The partnership, revealed at Dassault’s 3DEXPERIENCE World event in Houston, positions industrial AI as a mission-critical system of record rather than a point solution by grounding AI predictions and generative capabilities in physics-based simulations and validated industrial knowledge.
For technology executives managing complex manufacturing, engineering and materials science operations, this architecture fundamentally changes how teams interact with design and production systems: instead of running offline simulations that require hours or days to complete, engineers will work with AI-powered virtual companions that provide real-time simulation results, optimization recommendations and validated design iterations within the 3DEXPERIENCE platform.
The partnership targets 100x to 1,000x acceleration of simulation workflows, with eventual million-fold improvements as AI factories scale, enabling manufacturers to shift from sequential design-test-build cycles to parallel virtual validation that compresses development timelines from months to weeks. The collaboration integrates NVIDIA CUDA-X acceleration libraries, NVIDIA AI infrastructure and the Omniverse DSX Blueprint for large-scale AI factory deployment into Dassault’s platform.
Virtual Twins as AI-Driven Systems of Record
Virtual twins differ from traditional digital twins by merging virtual and real-world data to create dynamic, experience-driven models that enable real-time simulations and optimizations rather than static replicas. Dassault’s virtual twin technologies create digital representations of physical systems across biology, materials science, engineering and manufacturing that continuously integrate sensor data, simulation results and operational feedback to optimize performance throughout product lifecycles. The partnership with NVIDIA brings accelerated computing to these virtual environments, enabling AI companions to run thousands of design variations, predict material behaviors under stress conditions, and recommend manufacturing process adjustments in real time without manual intervention.
Technology executives evaluating industrial AI platforms should prioritize vendors offering science-validated world models grounded in physics rather than purely data-driven generative AI, as manufacturing and materials science applications require predictions that conform to physical laws and regulatory safety standards.
Dassault’s OUTSCALE brand is deploying AI factories on three continents as part of its sustainable and sovereign cloud strategy, guaranteeing data privacy, intellectual property protection and sovereignty for customers concerned about sensitive design data exposure. NVIDIA is adopting Dassault’s model-based systems engineering to design AI factories, starting with the NVIDIA Rubin platform, demonstrating bidirectional technology integration that extends beyond traditional vendor-customer relationships.
What This Means for ERP Insiders
Industrial AI is transitioning to physics-validated generative design systems. Dassault and NVIDIA’s partnership positions AI as understanding the real world through science-grounded simulations, requiring ERP vendors to integrate physics engines alongside transactional data. Enterprise architects should evaluate whether ERP platforms support real-time data exchange with virtual twin environments running concurrent simulations.
Sovereign cloud deployment for IP-sensitive industries creates partnership opportunities. Dassault’s OUTSCALE AI factories emphasize data privacy and sovereignty, addressing aerospace and defense customers requiring regional deployments. Transformation leaders also should position industrial AI as requiring data governance frameworks preventing design IP from crossing boundaries, creating service revenue for sovereign cloud architecture.
Virtual twin platforms challenge ERP’s role as manufacturing system of record. Dassault’s positioning of Industry World Models as mission-critical systems integrating design, simulation and production data signals next-generation manufacturing platforms may bypass traditional ERP architectures. ERP vendors also should evaluate whether platforms serve as data sources for virtual twins or risk becoming downstream systems recording outcomes determined externally.
