Hello,
I’m a 6G researcher at Manukau Creative Polytechnic. I am applying to join the NVIDIA 6G Developer Program to accelerate GPU‑driven 6G research and prototyping.
I focus on L2 cooperative scheduling and PHY channel‑estimation acceleration, and already have experimental data. In October our school formed a 6G research group and procured 2 × NVIDIA DGX Spark, an xHaul switch, GPA antenna, GPS installation, and O‑RU to build a 6G AI‑acceleration platform.
I submitted an application a few weeks ago and it is still being reviewed; I would appreciate an update and the opportunity to contribute datasets, GPU‑optimized prototypes, and collaborative research.
Thanks for your help,
James
Hello @hunis34427 NVIDIA Aerial software is now available as open source. Access Aerial CUDA-Accelerated RAN and Aerial Frameworks on GitHub for full visibility into the codebase and a faster path to AI-native 6G research and development.
Hello Tom,
Thank you for the update. We’re following the Aerial open‑source release and have downloaded Aerial CUDA‑Accelerated RAN. We began local deployment and testing this week.
We found that the DGX Spark unified memory limits GPUDirect RDMA. Our team is working on workarounds and is currently developing a potential fix for 7.2x fronthaul processing on DGX Spark. Would Aerial be open to accepting patch submissions to the GitHub repo in the future?
Could you also share information about the plans and future development of the NVIDIA 6G Developer Program, and whether applications are still being accepted?
@eobiodu Can you please chime in here?