Powering industry-leading network simulation, performance, efficiency, and security for radio access networks (RANs).
Leading telcos, cloud service providers (CSPs), and enterprises are turning to the NVIDIA Aerial™ platform and accelerated computing to deliver unsurpassed performance for 5G RAN around the world. NVIDIA also offers best-in-class TCO and ROI by supporting generative AI and 5G network components on the same hardware, while pioneering 6G research tools for the future.
Explore survey results from 400+ industry professionals on top opportunities, challenges, and use cases for telecom companies using AI and generative AI in customer experience, network operations, and employee productivity.
Learn why DPUs and SmartNICs provide the best solution for improving data center efficiency and reducing server power consumption by up to 30 percent.
Building a telco or enterprise 5G network.
Telco and enterprise 5G virtualized radio access networks (vRANs) deliver high-performance, software-defined, fully programmable, cloud-native, AI-enabled, and OpenRAN-compliant 5G networks. 5G vRAN is a full-stack solution built on the NVIDIA Aerial CUDA®-Accelerated RAN stack and running on NVIDIA accelerated computing hardware.
Maximizing data center utilization by co-hosting 5G RAN and generative AI.
Multi-tenant generative AI and 5G realizes “RAN in the Cloud." With this solution, telcos and CSPs can improve utilization by running generative AI and RAN on the same data center. A multi-tenant data center can run Aerial vRAN stack as software and leverage the NVIDIA Spectrum-X Ethernet platform for AI to support high-performance, software-defined 5G on standard computing platforms, delivering best-in-class TCO and ROI. Its versatility provides flexibility for the RAN and the ability to support multiple O-RAN configurations with the same hardware.
Improving performance by accelerating 5G network functions.
Hardware acceleration is key to meeting 5G’s increasing need for network bandwidth and use of virtualized network functions (VNFs). For example, the user plane function (UPF) VNF needs to support extreme throughput of 100 gigabits per second (Gb/s) and higher while maintaining low and predictable latencies. NVIDIA® Bluefield® DPUs and SmartNICs offload and accelerate telco network functions in 5G networks.
Building machine learning datasets and algorithms for cellular networks.
AI is transforming cellular networks, enabling improved network operations in key areas such as channel estimation and mobility management. Driving innovation with AI requires suitable test datasets, machine learning algorithms, and the test platforms. NVIDIA Aerial AI Radio Frameworks, which includes the PyAerial and Aerial Data Lakes tools, enables innovation in AI for wireless networks.
Optimizing network planning and operations.
Digital twin simulations provide a real-time, virtual replica of physical networks for wireless network planning and operations. This enables telcos, CSPs, and enterprises to cost-effectively plan, build, and operate 5G networks that will meet their customers’ high expectations and maximize their ROI. Building on the NVIDIA Omniverse™ development platform for creating and simulating 3D workflows, the NVIDIA Aerial Omniverse Digital Twin provides a system-level simulator to enhance 5G and 6G research.
Inventing the 6G future.
NVIDIA provides unique platforms for wireless research. The 6G Research Cloud is a full-featured platform for next-generation wireless evolution that eases developer onboarding, algorithm development in real-time networks, and deployment of cloud and campus networks for research. NVIDIA collaborates with universities, research organizations, and industry standardization bodies (AI-RAN Alliance, 3GPP and O-RAN) to shape the future of wireless communications.
As we enter an era where society coexists with AI, the demand for data processing and electricity requirements will rapidly increase… Our collaboration with NVIDIA will help our infrastructure achieve a significantly higher performance with the utilization of AI, including optimization of the RAN. We expect it can also help us reduce energy consumption and create a network of interconnected data centers that can be used to share resources and host a range of generative AI applications.
— Junichi Miyakawa, President and CEO, SoftBank Corp.
NVIDIA announced their 6G Research Cloud platform for next-generation wireless. Including NVIDIA Aerial Omniverse Digital Twin, Aerial CUDA-Accelerated RAN, and the Aerial AI Radio Framework, Ansys, Keysight Technologies, Nokia, and Samsung are among the first to leverage the platform.
NVIDIA is a founding member of the AI-RAN Alliance, formed to advance cutting-edge research and development in AI that will transform RANs for 5G and the upcoming 6G. The collaborative initiative aims to enhance global mobile network efficiency, reduce power consumption, and retrofit existing infrastructure by bringing AI and RAN together.
NTT DOCOMO is deploying the first-ever GPU-accelerated wireless network in Japan—a move they believe will address the multi-billion-dollar problem of driving improvements in performance, TCO, and energy efficiency while unlocking the flexibility, scalability, and supply chain diversity promise of OpenRAN.
The Arm®-based NVIDIA Grace Hopper™ Superchip, BlueField-3 DPU, and Aerial vRAN stack form a revolutionary architecture for generative AI and 5G/6G communications.
Videos
In this self-paced course, you’ll learn the basic concepts of NVIDIA DOCA as a platform for accelerated data center computing on BlueField DPUs. Upon completion, you’ll have the knowledge you need to begin using DOCA and DPUs to develop applications that accelerate your data center’s services.
This on-demand training session introduces Sionna—NVIDIA’s open-source software library for GPU-accelerated link-level simulations and 6G research. It enables the rapid prototyping of complex communication system architectures and provides native support for the integration of neural networks.
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