Siemens and NVIDIA Partner to Bring Generative AI to Real-World Projects

Siemens is deepening its collaboration with NVIDIA to help build the industrial metaverse.

Siemens is bringing immersive visualization powered by new NVIDIA Omniverse Cloud APIs to the Siemens Xcelerator platform, driving increased use of AI-driven digital twin technology. The companies recently demonstrated how generative AI can revolutionize the visualization of complex data, making photorealism possible, and showcased how sustainable shipbuilder HD Hyundai can use it to develop new products.

"We will revolutionize how products and experiences are designed, manufactured and serviced. On the path to the industrial metaverse, this next generation of industrial software enables customers to experience products as they would in the real world: in context, in stunning realism and -- in the future -- interact with them through natural language input," said Roland Busch, President and CEO of Siemens AG. "In collaboration with NVIDIA, we will bring accelerated computing, generative AI, and Omniverse integration across the Siemens Xcelerator portfolio."


VIDEO: Generative AI for real-time immersive visualization

"Omniverse and generative AI are driving massive transformation for industrial enterprises," said Jensen Huang, founder and CEO of NVIDIA. "Siemens is bringing NVIDIA platforms to their customers and opening new opportunities for industry leaders to build the next wave of AI-enabled digital twins at every scale."

In the next phase of this collaboration, Siemens will release a new product later this year for Teamcenter® X, Siemens' industry-leading cloud-based Product Lifecycle Management (PLM) software, part of the Siemens Xcelerator platform. Powered by NVIDIA Omniverse technologies, it will provide engineering teams with the ability to create an ultra-intuitive, photorealistic, real-time, and physics-based digital twin that eliminates workflow waste and errors.

Setting up and adjusting details in photorealistic renderings -- such as material definitions and lighting environments, along with other supporting scenery assets -- will be accelerated dramatically using generative AI. Tasks that previously took days can be completed in hours, with engineering data contextualized as it would appear in the real world.

In addition to engineering, other stakeholders -- from sales and marketing teams to decision-makers and customers -- will benefit from the deeper insight and understanding of real-world product appearance, enabling more informed and quicker decision-making.

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