Friday, September 22

Siemens and Nvidia collaborate on the concept of the industrial metaverse

Siemens and Nvidia have extended their longstanding collaboration to develop new metaverse use cases for industrial customers and to complement existing AI-powered digital twin technology in manufacturing.

Siemens, a world leader in industrial automation and software, infrastructure, building and transportation technology, and NVIDIA, a pioneer in accelerated graphics and artificial intelligence (AI), today announced the expansion of their collaboration to enable the industrial metaverse and increase the use of AI-powered digital twin technology, which will help take industrial automation to new heights. As the first step in this partnership, the companies have decided to integrate Siemens Xcelerator, an open digital enterprise platform, and NVIDIA OmniverseTM, a 3D creation and collaboration platform. This will create an industrial metaverse with digital models based on physics from Siemens and real-time AI from NVIDIA, enabling companies to make decisions faster and more confidently.

The addition of Omniverse to the Siemens Xcelerator open ecosystem of partners will accelerate the deployment of digital twins, which can drive efficiencies and process across the manufacturing and product lifecycle. Companies of all sizes will be able to use digital twins with real-time performance data; develop innovative industrial IoT solutions; gain actionable insights from analytics at the edge or in the cloud; and address the engineering challenges of the future by making visually rich and immersive simulations more accessible.

“Physics-based and photorealistic digital twins implanted in the industrial metaverse have immense potential to disrupt our economies and industries by allowing people to participate and collaborate in a virtual world to solve real-world problems. Through this collaboration, we will make the industrial metaverse a reality for companies of all sizes,” said Roland Busch, President and CEO of Siemens AG. “For more than a decade, our digital twin technology has helped customers in many industries increase productivity, and now we offer the most comprehensive digital twin in the industry. We will enable an immersive, real-time metaverse that connects hardware and software from the edge to the cloud with the rich data of Siemens software and solutions when Siemens Xcelerator connects to Omniverse.”

Also Read  El Super Bowl LVI de los millones: conoce las impresionantes cifras que dejará la histórica final de la NFL

“Both Siemens and NVIDIA believe that the industrial metaverse will power digital transformation.” “This is just the beginning of our collaborative effort to bring this vision to life for our customers and the entire global manufacturing industry,” said Jensen Huang, founder and CEO of NVIDIA. “The connection with Siemens Xcelerator will enable NVIDIA’s Omniverse and AI ecosystem to tap into a whole new world of industrial automation built on Siemens mechanical, electrical, software, IoT and edge technologies.”

This collaboration brings together complementary technologies and ecosystems to create the industrial metaverse. Siemens occupies a unique position at the crossroads of the physical and digital worlds, information technology and operational technology. Siemens’ Xcelerator platform combines the mechanical, electrical, and software domains throughout the product and manufacturing processes, enabling the convergence of IT and OT.

NVIDIA Omniverse is a physically simulated, industrial-scale virtual world engine that enables, for the first time, the creation of full-fidelity live digital twins. NVIDIA AI is the world’s most popular AI platform and the Omniverse’s intelligence engine for cloud and edge autonomous systems, used by more than 25,000 companies worldwide. NVIDIA Omniverse and AI are the right compute engines to represent the comprehensive digital twin of Siemens Xcelerator.

illustration: capture, nvidia site.

Leave a Reply

Your email address will not be published. Required fields are marked *