NVIDIA AI Aerial is a suite of accelerated computing platforms, software, and services designed for the development, simulation, and operation of wireless networks. It includes hardened RAN software libraries for telcos, cloud service providers (CSPs), and enterprises building commercial 5G networks. NVIDIA AI Aerial also supports advanced wireless and AI/ML research for 6G, accessible on cloud or on-premises setups.

Features

• CUDA-Accelerated RAN: A framework for building commercial-grade, software-defined, and cloud-native 5G and future 6G radio access networks, including GPU-accelerated PHY and MAC layer libraries.
• Omniverse Digital Twin: Enables physically accurate simulations of complete 6G systems, from single towers to city scale, incorporating software-defined RAN and user-equipment simulators.
• AI Radio Frameworks: Seamless integration with popular libraries and frameworks like PyTorch and TensorFlow, leveraging NVIDIA GPUs for data generation, capture, and AI/ML model training.
• 6G Research Cloud Platform: Provides access to Aerial CUDA-Accelerated RAN, Omniverse Digital Twin, and AI Radio Frameworks for academic and industry-based researchers, facilitating AI/ML research across the telecom stack.

Benefits

• Accelerated 5G Networks: Enables the building of high-performance, software-defined, cloud-native 5G networks, leveraging GPU acceleration for virtualized distributed units (vDU) and other 5G network functions.
• Generative AI and 5G Data Centers: Supports the deployment of multi-tenant data centers capable of running both 5G and AI workloads, including model training and offline image recognition.
• 6G Standardization: Facilitates 6G research and standardization with city-scale simulation setups, realistic user mobility, and standard-compliant waveforms.
• Flexible Deployment: Supports deployment in data centers, on-premises, and at the edge, providing full flexibility for updating software components.
• Industry Collaboration: Works closely with industry groups and standards bodies to develop new technologies and contribute to industry standards.