Aerial CUDA-Accelerated RAN brings together the Aerial software for 5G and AI frameworks and the NVIDIA accelerated computing platform, enabling TCO reduction and unlocking infrastructure monetization for telcos.
Aerial CUDA-Accelerated RAN has the following key features:
Software-defined, scalable, modular, highly programmable and cloud-native, without any fixed function accelerators. Enables the ecosystem to flexibly adopt necessary modules for their commercial products.
Full-stack acceleration of DU L1, DU L2+, CU, UPF and other network functions, enabling workload consolidation for maximum performance and spectral efficiency, leading to best-in-class system TCO.
General purpose infrastructure, with multi-tenancy that can power both traditional workloads and cutting-edge AI applications for best-in-class RoA.
What’s New in 24-1
Now Available in Release 24-1 for Aerial CUDA-Accelerated RAN
Aerial cuPHY: CUDA accelerated inline PHY
64T64R Massive MIMO (early access)
Enhanced L1-L2 interface
4T4R @ 100MHz multicell capacity on Grace Hopper
CSI-P2 enhancement
O-RAN Fronthaul
Grace Hopper MIG support
4T4T new feature support
Aerial cuMAC: CUDA accelerated MAC scheduler
pyAerial: Python interface to cuPHY modules and pipeline
Aerial Data Lake: Data collection service for PHY to enable AI/ML training