Siemens and Nvidia Expand Cooperation

Siemens and Nvidia are deepening their industrial metaverse partnership. Specifically, a new product will connect the "Siemens Xcelerator" platform with Nvidia Omniverse Cloud APIs to enable real-time, photorealistic and physics-based collaboration on visualizations - supported by generative AI.

Using Nvidia Omniverse Cloud APIs, Siemens is bringing immersive visualization to the open and flexible business platform "Siemens Xcelerator" to drive the increased use of AI-powered digital twins. According to Siemens, generative AI will fundamentally reshape the visualization of complex data.

“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.”

“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, according to Siemens, 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.