NVIDIA Unveils 6G Research Cloud Platform to Advance Wireless Communications With AI

Ansys, Keysight, Nokia, Samsung Among First to Use NVIDIA Aerial Omniverse Digital Twin, Aerial CUDA-Accelerated RAN and Sionna Neural Radio Framework to Help Realize the Future of Telecommunications

SAN JOSE, Calif., March 18, 2024 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced a 6G research platform that empowers researchers with a novel approach to develop the next phase of wireless technology.

The NVIDIA 6G Research Cloud platform is open, flexible and interconnected, offering researchers a comprehensive suite to advance AI for radio access network (RAN) technology. The platform allows 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.

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: A reference application and developer sample that enables physically accurate simulations of complete 6G systems, from a single tower to city scale. It incorporates software-defined RAN and user-equipment simulators, along with realistic terrain and object properties. Using the Omniverse Aerial Digital Twin, researchers will be able to simulate and build base-station algorithms based on site-specific data and to train models in real time to improve transmission efficiency.
• NVIDIA Aerial CUDA-Accelerated RAN: A software-defined, full-RAN stack that offers significant flexibility for researchers to customize, program and test 6G networks in real time.
• NVIDIA Sionna Neural Radio Framework: A framework that provides seamless integration with popular frameworks like PyTorch and TensorFlow, leveraging NVIDIA GPUs for generating and capturing data and training AI and machine learning models at scale. This also includes NVIDIA Sionna, the leading link-level research tool for AI/ML-based wireless simulations.