Siemens x NVIDIA Industrial AI Operating System: BMW Aerodynamics and Maserati Manufacturing

Title

Siemens x NVIDIA Industrial AI Operating System: BMW Aerodynamics and Maserati Manufacturing

Content

Siemens and NVIDIA are collaborating to build an industrial AI operating system that integrates NVIDIA technologies across Siemens Teamcenter, Simcenter STAR-CCM+, and the Siemens Industrial Copilot. The stack combines NVIDIA Omniverse libraries and NVIDIA CUDA for simulation and digital twins, NVIDIA NIM and NeMo microservices for AI inference, NVIDIA DGX B200 and DGX H200 systems for accelerated compute, and NVIDIA Jetson Thor, NVIDIA Isaac Sim, and NVIDIA Isaac Lab for physical AI and robotics. The collaboration delivers photorealistic visualization of massive, complex engineering and manufacturing datasets, physically-accurate digital twins that let engineers design, simulate, and operate products, plants, and factories before anything is built, and real-time collaboration via the Teamcenter Digital Reality Viewer running on cloud-based GPU clusters inside the Siemens Xcelerator Cloud Service. Documented framework outcomes include 10% to 15% reductions in capital expenditure, a 25% reduction in reactive maintenance time for workers using the Siemens Industrial Copilot, and a 20% increase in throughput with faster design cycles. Named deployments include BMW, which runs many aerodynamic simulations daily, each simulating up to 100 million cells; Siemens' Simcenter STAR-CCM+ CFD software now runs natively on both CPUs and GPUs, and a 458-million-cell steady-state aerodynamics case on the latest NVIDIA B200 GPU node delivers performance equivalent to over 10,000 CPU cores while reducing energy consumption and infrastructure costs. Maserati uses Siemens solutions powered by Omniverse APIs to interactively visualize airflow over car bodies and improve its manufacturing process. The Teamcenter Digital Reality Viewer integrates NVIDIA Omniverse libraries for real-time ray tracing and GPU-accelerated rendering of multi-CAD data with BOM-driven visualization, and is hosted in the Siemens Xcelerator Cloud Service so users can access high-performance visualization on demand. The broader partnership targets global manufacturing, where industry projections point to 85 million vacant positions by 2030 and growing pressure across automotive, aerospace, and marine to accelerate innovation, reduce costs, and ensure product quality and sustainability.