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
NVIDIA 6G Research Cloud
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.
Industry-leading researchers can use all elements of the 6G development research cloud platform to advance their work.
“The future convergence of 6G and AI holds the promise of a transformative technological landscape,” said Charlie Zang, senior vice president of Samsung Research America. “This will bring seamless connectivity and intelligent systems that will redefine our interactions with the digital world, ushering in an era of unparalleled innovation and connectivity.”
Testing and simulation will play an essential role in developing the next generation of wireless technology. Leading providers in this space are working with NVIDIA to contribute to the new requirements of AI with 6G.
“Ansys is committed to advancing the mission of the 6G Research Cloud by seamlessly integrating the cutting-edge Ansys Perceive EM solver into the Omniverse ecosystem,” said Shawn Carpenter, program director of 5G/6G and space at Ansys. “Perceive EM revolutionizes the creation of digital twins for 6G systems. Undoubtedly, the convergence of NVIDIA and Ansys technologies will pave the way toward AI-enabled 6G communication systems.”
“Access to wireless-specific design tools is limited yet needed to build robust AI,” said Kailash Narayanan, president and general manager of Keysight Communications Solutions Group. “Keysight is pleased to bring its wireless network expertise to enable the next generation of innovation in 6G communications networks.”
The NVIDIA 6G Research Cloud platform combines these powerful foundational tools to let telcos unlock the full potential of 6G and pave the way for the future of wireless technology. To access the platform, researchers can sign up for the NVIDIA 6G Developer Program.
About NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling industrial digitalization across markets. NVIDIA is now a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.
For further information, contact:
Janette Ciborowski
NVIDIA Corporation
+1-734-330-8817
jciborowski@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, features, and availability of NVIDIA’s products and technologies, including NVIDIA 6G Research Cloud platform, NVIDIA Aerial Omniverse Digital Twin for 6G, NVIDIA Aerial CUDA-Accelerated RAN, NVIDIA Sionna Neural Radio Framework, and NVIDIA GPUs; third parties’ use or adoption of NVIDIA products, technologies and platforms, and the benefits and impacts thereof; the massive increase in connected devices and host of new applications in 6G requiring a vast leap in wireless spectral efficiency, and the key to achieving it being the use of AI, a software-defined, full-RAN reference stack and next-generation digital twin technology in radio communications; and the future convergence of 6G and AI holding the promise of a transformative technological landscape, bringing seamless connectivity and intelligent systems that will redefine our interactions with the digital world, ushering in an era of unparalleled innovation and connectivity are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
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