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Nvidia Unveils 6G Research Cloud Platform

March 25, 2024
Company hopes RAN future includes AI as essential element.

Nvidia announced a new “6G Research Cloud” platform with which they hope to bring AI into the radio access network as 5G and 6G evolve.

According to a press release, the platform includes an “Aerial Omniverse Digital Twin” for 6G and other features that allow for simulating 6G environments to test and optimize networks.

The Nvidia platform offers researchers a suite to “advance AI for radio access network (RAN) technology.” The platform aims to allow organizations to “accelerate the development of 6G technologies that will connect trillions of devices with the cloud infrastructures, laying the foundation for a hyper-intelligent world supported by autonomous vehicles, smart spaces and a wide range of extended reality and immersive education experiences and collaborative robots,” the company said.

Ansys, Arm, ETH Zurich, Fujitsu, Keysight, Nokia, Northeastern University, Rohde & Schwarz, Samsung, SoftBank Corp. and Viavi are among its first adopters and ecosystem partners.

“The massive increase in connected devices and host of new applications in 6G will require a vast leap in wireless spectral efficiency in radio communications,” said Ronnie Vasishta, senior vice president of telecom at Nvidia. “Key to achieving this will be the use of AI, a software-defined, full-RAN reference stack and next-generation digital twin technology.”

The Nvidia 6G Research Cloud platform consists of three foundational elements: Nvidia Aerial Omniverse Digital Twin for 6G, Nvidia Aerial CUDA-Accelerated RAN, and Nvidia Sionna Neural Radio Framework. More about these specific features can be seen here.

To access the platform, researchers can sign up for the Nvidia 6G Developer Program.

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Joe Gillard | Executive Editor

Joe Gillard is a media professional with over 10 years of experience writing, editing, and managing the editorial process across a spectrum of innovative industries. Joe strives to deliver the best possible editorial product by focusing on the needs of the audience, utilizing the data available, and collaborating with a talented team. 


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