Nvidia has introduced an innovative AI-powered software platform aimed at accelerating research into 6G technology by simulating communications environments in the cloud.
Nvidia announced its cloud platform at Nvidia’s Global Artificial Intelligence Conference for developers.
The platform is designed to explore the capabilities of 6G technology, which is expected to replace 5G and is expected to revolutionize wireless communications once commercially launched around 2030. By leveraging AI and software, it represents an important step in the evolution of the communications sector. This is especially true for radio access network (RAN) hardware such as base stations and antennas.
Nvidia’s platform includes applications that simulate environments ranging from a single cell tower to an entire city, enabling researchers and organizations to conduct real-time testing of 6G networks. Nvidia said notable early adopters of the platform include Ansys, Nokia, Samsung, SoftBank and Boston’s Northeastern University.
Early adopters and ecosystem partners of this breakthrough platform include Ansys, Arm, ETH Zurich, Fujitsu, Keysight, Nokia, Northeastern University, Rohde & Schwarz, Samsung, SoftBank Corp., and Viavi .
The NVIDIA 6G Research Cloud platform consists of three basic elements:
NVIDIA Aerial Omniverse Digital Twin for 6G: This component facilitates physically accurate simulation of complete 6G systems, from single towers to city-wide networks. It integrates software-defined RAN and user equipment simulators with realistic terrain and object properties, allowing researchers to simulate and optimize base station algorithms based on real-time data.
NVIDIA Aerial CUDA-Accelerated RAN: This software-defined full RAN stack provides significant flexibility, allowing researchers to customize, program, and test 6G networks in real-time.
NVIDIA Sionna Neural Radio Framework: Seamlessly integrated with popular frameworks such as PyTorch and TensorFlow, this framework leverages NVIDIA GPUs to generate and capture data to train AI and machine learning models at scale. To do. This includes his NVIDIA Sionna, the leading link-level research tool for AI/ML-based wireless simulation.
Ronnie Vasishta, Nvidia’s senior vice president of telecoms, emphasized the need for significant advances in wireless spectrum efficiency to accommodate the expected proliferation of connected devices and new applications with the advent of 6G technology.
Analysts noted that traditional telecommunications equipment suppliers are no longer the only companies driving the mobile infrastructure market. Instead, they must forge partnerships with chip companies and cloud vendors to remain competitive in an increasingly dynamic landscape.
Charlie Zhang, senior vice president of Samsung Research America, highlighted the transformative potential of the convergence of 6G and AI, envisioning a future of seamless connectivity and intelligent systems.
Recognizing the critical role of test and simulation in 6G development, leading providers such as Ansys and Keysight are partnering with NVIDIA to help advance AI with 6G.
Shawn Carpenter, program director for 5G/6G and Space at Ansys, announced his commitment to integrate the state-of-the-art Ansys Perceive EM solver into the Omniverse ecosystem and revolutionize the creation of digital twins for 6G systems. .
Kailash Narayanan, president and general manager of Keysight Communications Solutions Group, emphasized the importance of wireless-specific design tools in building robust AI-enabled 6G communications systems.
