Build and Deploy GPU-Accelerated 5G Virtual Radio Access Networks (vRAN)
NVIDIA Aerial, an Application framework for building high-performance, software-defined, cloud-native 5G applications, to address increasing consumer demand. Optimised results with parallel processing on GPU for Baseband signals and data flow.
100% Software Defined
Highly-Programmable PHY layer and capability to support L2+ functions seamlessly.
High Performance and AI Ready
With GPU's fast processing capability, complex computations run 20 times faster than any existing solutions which run L1 processing. AI-based algorithms for L1 functions give improved performance results.
100% Commercial off-the-shelf (COTS) hardware making it easier to deploy services with cloud-native.
NVIDIA Aerial SDK
NVIDIA Aerial is a set of SDKs that enables GPU-accelerated, software-defined 5G wireless RANs. Today, NVIDIA Aerial provides two critical SDKs: cuVNF and cuBB.
The NVIDIA cuVNF SDK provides optimized input/output (IO) and packet placement on the GPU whereby 5G packets are directly sent to GPU memory from GPUDirect capable network interface cards (NICs). cuVNF provides speed at line rate for I/O. It enables developers to create other VNFs e.g. Deep packet inspection, firewall, vRAN, etc.
The NVIDIA cuBB SDK provides a fully-offloaded 5G Signal Processing pipeline (5G L1) which delivers unprecedented throughput and efficiency by keeping all physical layer processing within the GPU’s high-performance memory. NVIDIA cuPHY SDK provides a fully-offloaded 5G Signal Processing pipeline (L1 5G Phy) which delivers unprecedented throughput and efficiency by keeping all physical layer processing within the GPU’s high-performance memory. Best performance for LDPC on COTS. It is the single software programming model that goes from Pico cells to CRAN to DRAN.
cuPHYTools is the generator for network traffic for cuPHY providing seamless packet flow for faster transception. cuPHYTools GPU-DPDK support to directly transfer data from NIC to GPU memory using GPU-Direct function.
A newly GPU enabled DPDK (Data Plane Development Kit) helps developers easily add GPU acceleration to their existing RAN architecture. and NVIDIA CUDA-X signal processing libraries like cuFFT and NPP offer drop-in APIs and over 5000 primitives for image and signal processing.
Aerial vRAN partners
“SoftBank Corp. has been focused over the past decade on building centralized radio access networks that guarantee high capacity and stability. We believe that our 5G network will be completed through a software approach, or softwarization, and that NVIDIA’s Aerial SDKs will play an instrumental role in this effort. It enables an open ecosystem for software-defined 5G networks delivering both flexibility and high performance, which will help SoftBank Corp. drive the digital transformation of the telco industry.”Ryuji Wakikawa, vice president and head of the Advanced Technology Division, SoftBank Corp.
“The telco industry is eagerly adopting cloud-native architecture to meet the growing compute demands of 5G. We are learning firsthand how the remarkable compute performance of NVIDIA GPUs, together with NVIDIA’s Aerial SDKs, can address the challenges of building flexible, high-performance virtualized telecom networks. We look forward to Aerial’s continued development.”Yasuyuki Nakajima, president and CEO, KDDI Research, Inc.
NVIDIA Aerial Runs on NVIDIA EGX Platform
NVIDIA EGX is an enterprise-grade accelerated computing platform that enables companies to run real-time low-latency applications at the edge. To achieve the highest level of reliability, Aerial SDKs and libraries undergo extensive testing against the EGX software stack with an emphasis on performance and long-term stability.
To request access to NVIDIA Aerial SDK, please join our Aerial early access program.