cuPHY System Overview

NVIDIA Docs Hub NVIDIA Aerial Aerial CUDA-Accelerated RAN cuPHY System Overview

Aerial CUDA-Accelerated RAN 24-1 Download PDF

Aerial cuPHY is a software-defined workload hosted on NVIDIA-certified EGX servers and a stack that uses the CUDA OS platform and GPU/NIC/CPU firmware and toolkits. This section highlights the Aerial cuPHY workload configuration interdependencies as part of the NVIDIA platform stack.

Highlights

Grace Hopper MGX system supports 20 average loaded (50%) BFP9 cells
Supports Massive MIMO: 64T64R (16DL | 8UL) @ 100MHz w/ SRS-based Beamforming
AX800 with Dell R750 supports 8 4T4R peak and 16 4T4R average BFP9 cells
A100X with Dell R750 supports 5 4T4R peak and 10 4T4R average BFP9 cells
A100 with Aerial Devkit supports up to 4 4T4R peak and 8 4T4R average BFP9 cells

Aerial CUDA-Accelerated RAN Overall Platform Qualification

Feature	Configuration	Supported
Grace Hopper MGX Platform	72-core NVIDIA Grace CPU NVIDIA H100 Tensor Core GPU 480GB of LPDDR5X memory with ECC Supports 96GB of HBM3 BF3 NIC x2	Y
Platform for Discrete GPU, NIC	Servers x2 Model Gigabyte E251-U70 CPU Intel Xeon Gold 6240R, 2.4GHz, 24C48T Memory 96GB DDR4 Storage 480GB LiteOn SSD x1 GPU GA100 x2 NIC x2 MLX CX6-DX (MCX623106AE-CDAT)	Y
Platform for Converged Accelerator	Dell R750 Server Skew 10-AYCG Intel Xeon Gold 6336Y 2.4G, 24C/48T PCIe Gen4 Memory 512GB DDR4 Storage 2TB GPU+NIC AX800 or A100X NIC CX6-DX	Y

Discrete GPU Support

Feature	Supported
Maintain integration, qualification of discreet GPU A100	Y
Support Aerial CUDA-Accelerated RAN offload	Y
Preserve existing interfaces / API / shared memory buffers integrated with ISVs	Y
L2+ integrated with x86 host	Y

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