Nvidia aims to use its cloud-based AI platform to accelerate research into the latest mobile 6G standards. His open, flexible, multi-platform connectivity Nvidia 6G Research Cloud platform helps researchers use AI in radio access network (RAN) technology.
With the launch of the Nvidia 6G Research Cloud platform, Nvidia aims to stimulate and potentially accelerate 6G research by carriers and organizations. This mobile standard, the successor to the current 5G, should connect billions of devices to cloud infrastructure in the (near) future. This mobile technology is the gateway to implementing self-driving cars, smart work environments, more AR and VR experiences, and robotic support.
read more: “6G needs to provide more bandwidth as demand increases.”
According to the company, AI will be the basis of 6G research. A complete software-based RAN reference stack and the latest technology in digital twins complement the foundation.
Therefore, the Nvidia 6G Research Cloud platform provides three tools to enable this integration. The first, Nvidia Aerial Omniverse Digital Twin for 6G, provides so-called reference applications and development examples for accurate simulation of complete 6G systems, from single transmission towers to metropolitan-based networks. .
Omniverse Aerial Digital Twin allows 6G researchers to simulate locations and build and test the algorithms needed in base stations for this purpose. This is based on (actual) information about the location of the base station. This allows you to train AI models to improve transmission efficiency.
Integration with PyTorch and TensorFlow
The second tool within the platform, Nvidia Aerial CUDA-Accelerated RAN, is a complete software-based RAN stack that provides ample flexibility for professionals to customize, program, and test 6G networks in real-time. Masu.
Additionally, the Nvidia Sionna Neural Radio Framework integrates platform users with frameworks such as PyTorch and TensorFlow. This makes it easy to use Nvidia GPUs to generate and capture data to train AI and ML models at scale.
Additionally, Nvidia Sionna 6G research tools help researchers perform AI and ML-based simulations of wireless networks.
Used by Nokia and Samsung
Several communications and ecosystem experts have announced their intention to work with the Nvidia 6G Research Cloud platform. These include Ancus, Arm, ETH Zurich, Fujitsu, Keysight, Nokia, Northeastern University, Rohde & Schwarz, Samsung, Softbank, and Viavi.
Interested 6G researchers can also use this platform. You can sign up through the Nvidia 6G Developer Program.
Please also read: Nvidia solidifies AI lead at GTC 2024 with Blackwell GPUs
