Aerial Framework for converting Python code into high-performance CUDA code to run on NVIDIA Aerial RAN computer platforms.
AI-powered neural models, such as advanced channel estimation for significantly improving wireless performance.
A dApp framework to provide third-party applications with access to real-time physical layer data through secure application programming interfaces. Developers can deploy AI-powered dApp algorithms that can modify RAN behavior in real time.
Customizable pipelines with modules that developers can selectively modify or replace with their own code to build full-stack RAN software.
Such features have enabled the first made-in-America AI-native wireless stack, showcasing early 6G applications including spectrum agility and integrated sensing and communications.
This move expands access to powerful CUDA-accelerated wireless software and boosts the global movement toward AI-native 5G and 6G solutions. It opens doors to developers beyond the telecom industry, making it easy for them to build new applications for mobile networks, including agentic and physical AI applications that need mission-critical performance.
This shift amplifies U.S. leadership in open source and fundamentally rewrites the way the telecom industry innovates — sparking knowledge-sharing and an implementation-first approach at a global scale.
NVIDIA DGX Spark, the world’s smallest AI supercomputer, is now available for AI-native 5G and 6G research. It delivers the performance to run NVIDIA Aerial or Sionna software in a cost-effective small footprint. Whether procured through manufacturers or accessed via NVIDIA DGX Cloud, DGX Spark empowers teams to prototype complete wireless networks and continuously train and refine their AI models using real-world data gathered across diverse radio environments.
The NVIDIA Sionna Research Kit now supports DGX Spark, in addition to NVIDIA Jetson AGX Orin, offering an AI-native 6G lab in a box for rapid prototyping. It brings together every component, from user equipment and antennas to radio systems and core networks, that developers need to research and validate AI/ML algorithms’ performance over the air — and to do so in one afternoon, from unboxing to setting a live 5G network. Researchers can test their algorithms anywhere with the ultraportable kit, instead of being confined to a lab.
The NVIDIA Aerial Testbed now supports DGX Spark in addition to NVIDIA GH200 Grace Hopper Superchips, enabling over-the-air testing of CUDA-accelerated, full-stack 5G and 6G networks. Designed to accelerate commercial product development, it provides seamless integration between network digital twin and live deployment.
Dell Technologies is introducing Dell Pro Max with GB10, a DGX Spark-based system designed to empower researchers and developers across a wide range of AI applications, including the demanding needs of global telecom research. The platform delivers proven performance for handling intensive 5G and 6G workloads, offering a stable and powerful environment for testing, simulation and validation while enabling researchers to tackle the complex challenges of 6G.
The NVIDIA AI Aerial portfolio — spanning accelerated computing platforms, software libraries and tools — gives developers the means to build, train, simulate and deploy full-stack AI-native RAN systems faster than ever.
Thousands of wireless innovators around the world are already tapping into the NVIDIA AI Aerial portfolio for research and development, including leading U.S. institutions Northeastern University , Virginia Tech , Arizona State University and DeepSig , and researchers from WINSLab and LIDS at MIT , who are working on AI-driven breakthroughs that will define 6G technology and shape global standards.
The AI-RAN Alliance is shaping the core architecture of AI-native wireless networks, bringing together over 100 telecom industry pioneers through work groups, labs, benchmarking and live demonstrations — many of which have been developed using NVIDIA AI Aerial.
“With NVIDIA’s open-source Aerial software and DGX Spark, developers can create modular, software-defined wireless systems and experiment freely — from labs to live environments,” said Alex Jinsung Choi, chairman of the AI-RAN Alliance. “This is a critical enabler for fueling AI-RAN innovations that boost spectrum efficiency, enhance network performance and power new AI applications — at a pace the industry has never experienced.”
By breaking down barriers and inviting participation from developers far beyond traditional wireless, NVIDIA is catalyzing a wave of 5G and 6G collaboration that will shape national competitiveness and global standards.
NVIDIA’s commitment to open access and global collaboration marks this as a pivotal milestone for the telecom industry, enabling a fully inclusive, software-defined and AI-powered future where innovation moves at the speed of AI.
Watch the GTC Washington, D.C., keynote from NVIDIA founder and CEO Jensen Huang and explore sessions .
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Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
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Reference reading
- https://blogs.nvidia.com/blog/open-source-aerial-ai-native-6g/#content
- https://www.nvidia.com/en-us/
- https://blogs.nvidia.com/?s=
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