Description
NVIDIA Aerial is a comprehensive suite of accelerated computing platforms, software libraries, and tools aimed at transforming the design, simulation, and operation of AI-native wireless networks. It provides developers and researchers with the capability to rapidly prototype and commercially develop AI-RAN solutions for 5G and 6G networks. The suite includes various hardware and software resources, such as the Aerial CUDA-Accelerated RAN, Aerial Framework, and Aerial Omniverse Digital Twin, which are essential for building CUDA-accelerated software-defined RAN.
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NVIDIA Aerial supports both advanced wireless research and commercial-grade cellular deployment, enabling centralized and distributed AI-RAN deployments for public and private networks. The platform is O-RAN 7.2x compliant and supports O-RAN Distributed Unit functionality. Developers can access NVIDIA Aerial software on GitHub and through the NVIDIA 6G Developer Program, which offers documentation, SDKs, and hardware platforms for rapid onboarding.
The hardware compatible with NVIDIA Aerial includes the Aerial Testbed (ARC-OTA), Aerial RAN Computer-1, ARC-Compact, ARC-Pro, and the Sionna Research Kit. These platforms are built using NVIDIA's state-of-the-art GPUs, CPUs, and networking components, ensuring high-performance and scalable solutions for telecom networks.
NVIDIA Aerial's ecosystem fosters collaboration between academia and industry leaders to advance AI-native wireless networks and drive 6G research. The platform offers a variety of tools for building, training, simulating, and deploying AI-native wireless networks, making it suitable for seasoned professionals and students alike.
- CategoryRobotics & AI Hardware
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsNVIDIA GPUs
NVIDIA Aerial's Core Features
Accelerated computing platforms
AI-native wireless network design
5G and 6G support
CUDA-accelerated RAN
O-RAN 7.2x compliance
Open source software libraries
High-performance hardware platforms
Commercial-grade cellular deployment
Centralized and distributed AI-RAN
Telco-optimized form factor
Rapid prototyping capabilities
AI-RAN solutions for telcos
Sionna Research Kit
Aerial Omniverse Digital Twin
Aerial Developer Forum
How to use NVIDIA Aerial?
Access: Visit GitHub for software libraries
Configure: Set up hardware platforms
Simulate: Run network scenarios
Deploy: Implement in live networks
Optimize: Enhance AI-native designs
NVIDIA Aerial's Use Cases
- AI-RAN development
- Wireless network simulation
- Commercial deployment
- Research collaboration
- Digital twin creation
