Nvidia gets serious about the metaverse with Omniverse updates

Nvidia takes the metaverse seriously with its Omniverse updates
Nvidia has announced several updates to its Omniverse simulation platform that bring the metaverse closer to reality.

Metaverse is considered the next step in the web, providing a virtual, persistent world where users can interact, work and play with actions that have real effects.

Facebook recently changed the company’s name to Meta to reflect its new focus on creating a meta version. During the recent Meta Connect conference, CEO Mark Zuckerberg was the first to say that it will take several years for the metaverse vision to be fully realized.

Nvidia is positioned as a key player in making the meta-version a reality, as it encompasses many areas that need to come together to make it a reality, including artificial intelligence, digital twins, data centers and graphics processing. Omniverse is Nvidia’s collaborative solution for building digital twins of real-world objects – or even entire places like factories – and is often described as a “metaversion for engineers”. The solution is already used by more than 700 companies and 70,000 individual creators.

During this year’s GTC 2021 keynote, Nvidia CEO Jensen Huang announced several Omniverse updates that show the company is serious about the metaverse (though not so much as to rebrand itself as Metavidia…

First, Omniverse has moved from beta to general availability. Companies and creators looking to get started with Omniverse can now rest assured that Nvidia believes it is ready for production.

“With NVIDIA Omniverse, we can quickly transform and recreate the realism we get from photographing physical scale models to explore design, reproduce and amplify sounds for our clients in the design process,” said Hilda Espinal, Chief Technology Officer and Senior Vice President of CannonDesign. . One of the important innovations is the Omniverse Replicator, which aims to facilitate the training of deep neural networks.

“Omniverse Replicator enables us to create diverse, large, and accurate datasets to create the high-quality, high-performance, and secure datasets that are critical to AI,” said Rev Lebaredian, vice president of Omniverse Simulation Technology and Engineering at NVIDIA.