The pyAerial library provides a Python-callable bit-accurate GPU-accelerated library for all of the signal processing CUDA kernels in the NVIDIA cuBB layer-1 PDSCH and PUSCH pipelines. See link for more details.
Related topics
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| Getting Started with pyAerial | 4 | 76 | October 17, 2024 | |
| NVIDIA Aerial software is now available as open source | 1 | 45 | December 11, 2025 | |
| Something went wrong when using pyAerial to decode pusch data | 3 | 42 | April 27, 2025 | |
| Running pyAerial on RTX 3090 with cuBB 25-2 – Compatibility with CUDA 12.5 | 2 | 72 | November 10, 2025 | |
| Aerial GPU model support | 0 | 41 | March 19, 2025 | |
| Segmentation fault when creating PuschRx instance in PyAerial | 1 | 33 | December 11, 2025 | |
| Inquiry on integrating AI/ML model into cuPHY PUSCH pipeline | 2 | 38 | December 22, 2025 | |
| Introducing NVIDIA Aerial Research Cloud for Innovations in 5G and 6G | 23 | 1853 | February 24, 2025 | |
| Inquire about the extent of implementation of Aerial CUDA-Accelerated RAN and future plans for implementation | 3 | 70 | October 23, 2024 | |
| Aerial SDK container unavailable | 5 | 80 | December 17, 2024 |