Enabling industry-leading network performance, efficiency, and security.
With NVIDIA accelerated computing and AI, telcos, cloud service providers (CSPs), and enterprises can build the best cloud-native networks—both traditional fixed and wireless—with improved energy efficiency and security. For wireless, the NVIDIA Aerial™ application framework delivers best-in-class TCO and ROI for telecommunications networks by supporting generative AI and 5G on the same hardware.
Learn what’s being prioritized, where investments are being made, and how teams across the industry are approaching AI in 2023.
Learn why a DPU or SmartNIC are the best ways to improve data center efficiency and reduce server power consumption by up to 30 percent.
Optimizing power and security on cloud infrastructure.
Accelerated networking solutions help telcos and CSPs build the most power-efficient and secure network. Leveraging the NVIDIA® Bluefield® data processing unit (DPU) and Spectrum™ Ethernet switch, these solutions deliver innovative features needed for telco cloud infrastructure and network applications. They also support the NVIDIA DOCA™ and Morpheus frameworks to accelerate AI for telco clouds.
Building a public 5G network.
Public telco virtualized radio access networks (vRANs) deliver high-performance, software-defined, fully programmable, cloud-native, AI-enabled, and OpenRAN-compliant 5G RAN. Public telco vRAN is a full-stack solution built on the NVIDIA Aerial vRAN stack and running on NVIDIA accelerated computing hardware.
Maximizing data center utilization by co-hosting 5G RAN and gen AI.
Multi-tenant generative AI and 5G realizes “RAN in the Cloud." With this solution, telcos and CSPs can improve utilization by running gen 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.
Hosting 5G RAN and enterprise AI.
With enterprise AI-on-5G, enterprises and CSPs can simplify deployment of AI applications over private 5G networks. NVIDIA accelerated computing provides a unified platform that brings together developments in AI and 5G at the edge to accelerate the digital transformation of enterprises across all industries. 5G provides the underlying connectivity for billions of devices, extending the reach of AI algorithms and applications to all connected objects at the edge, enabling new applications and new markets.
Shaping the future of 5G and 6G.
The NVIDIA 6G Research Cloud platform provides access to a suite of tools and frameworks for academic and industry-based researchers, enabling exploration that spans RAN L1, L2, and core nodes. A primary focus for the 6G Research Cloud platform is to facilitate studies that bring AI/ML to all layers of the telecom stack. The link-level simulation and system-level simulation setups can be accessed via a cloud API and hosted in the cloud as a fully software-based research environment. Additionally, the Aerial RAN CoLab Over-The-Air (ARC-OTA) testbed can be used as an on-premises, real-time hardware testbed for benchmarking innovations.
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.
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.
The new NVIDIA AX800 converged accelerator delivers high-performance 5G, allowing cloud service providers to host 5G RAN and AI services on multi-tenant GPU cloud infrastructure.
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.
Our expert-led courses and workshops provide learners with the knowledge and hands-on experience they need to unlock the full potential of NVIDIA solutions. NVIDIA Training offers customized training plans designed to bridge technical skill gaps and provide relevant, timely, and cost-effective solutions for an organization's growth and development.
Connect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs—all the tools necessary to successfully build apps with NVIDIA technology—through the NVIDIA Developer Program.
Evolve your startup with go-to-market support, technical expertise, training, and funding opportunities. Inception provides 14,000+ cutting-edge startups worldwide with resources to accelerate their business. See how program members are using NVIDIA technology to create innovative products.
Access the latest Aerial vRAN stack and resources—including a forum where questions, tips, and tricks can be exchanged with program members and experts from the NVIDIA Aerial team—by joining the Aerial Early Access Program.
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