This section provides a description of supported delta features and capabilities in the current minor release.
Current Version: 22-4
NVIDIA is the global leader in GPU accelerated computing and is enabling a fully cloud-native virtual 5G RAN solution to support a wide range of next-generation edge AI and RAN services using commercial off-the-shelf (COTS) servers.
NVIDIA Aerial SDK provides 5G wireless radio access network solution, with inline L1 GPU acceleration for 5G NR PHY processing. It supports a full stack framework for a gNB integration L2/L3 (MAC, RLC, PDCP), along with manageability and orchestration. Aerial SDK also supports non 5G signal processing use cases. NVIDIA Aerial SDK package simplifies building programmable and scalable software defined 5G RAN PHY with the following 2 components:
CUDA Baseband (cuBB): The NVIDIA cuBB SDK provides GPU accelerated 5G signal processing pipeline including cuPHY for Layer 1 5G PHY, delivering unprecedented throughput and efficiency by keeping all physical layer processing within the high-performance GPU memory
DOCA GPUNetIO: A new library to enable GPU-initiated communications so a CUDA kernel can invoke the CUDA device functions in the DOCA GPUNetIO library to instruct the GPUDirect-capable network cards (Mellanox ConnectX-6 DX or A100X converged card) to send or receive packets.
A100x card qualification complete (x86 host mode)
A100x with Dell R750 supports 7 peak and 12 average cells
A100 with Aerial Devkit supports up to 4 carriers
Multiple UEs per TTI supported (up to 16)
New features supported for 4T4R:
Precoding for all Downlink channels
DFT-s-OFDM
RAT-0 (non-contiguous resource allocation) for PDSCH
Support for CdmGrpNoData=1
SINR and Timing advance measurements