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Unlock the Future of Wireless: How NVIDIA’s AI Aerial Platform is Revolutionizing Network Experiences

Unlock the Future of Wireless: How NVIDIA’s AI Aerial Platform is Revolutionizing Network Experiences

September 20, 2024 Catherine Williams - Chief Editor Tech

Optimizing Wireless Networks with AI Computing Infrastructure

Beyond voice and⁢ data services, telecom operators are leveraging AI computing ‍infrastructure to optimize their wireless networks‍ and innovate to ⁣meet next-generation AI demands such as mobile, robotics, self-driving cars,⁣ smart factories, and 5G.

NVIDIA⁤ AI Aerial: Accelerating AI-RAN for Wireless Networks

NVIDIA AI Aerial is a family of accelerated computing software and hardware for designing, simulating, training, and deploying AI-RAN (AI radio⁣ access network) for wireless networks in the AI era. This‍ platform​ provides a critical​ foundation for optimizing networks at scale to meet⁣ the demands of a⁣ variety of new services, enabling operators to significantly reduce their total cost of ownership and⁢ create new revenue ‍opportunities​ for enterprise and consumer services.

Enabling Remote Work and​ Computer Vision

NVIDIA AI Aerial enables telecommunications ⁣service providers to⁤ enable remote ‌work ‍for manufacturing robots and autonomous vehicles. It also enables computer vision in manufacturing, agriculture, and logistics, generative AI-based​ copilots and‍ personal assistants, new spatial computing applications, robotic surgery, 3D collaboration, and 5G ‌and 6G advancements.

AI-RAN Leading Next-Generation Networks

NVIDIA AI Aerial is the world’s first AI-RAN platform​ capable of hosting generative AI‌ and RAN traffic‍ and integrating AI into network ​optimization. AI-RAN offers⁤ new revenue opportunities through high-performance,‌ energy-efficient software-defined RAN, enhanced network experience, and edge AI applications for hosting internal or third-party generated AI applications.

Leveraging ‍NVIDIA AI Aerial for ⁤the Telecommunications Industry

The NVIDIA‍ AI Aerial platform provides access to the full range of capabilities, including training, simulation, and inference, ⁢along with high-performance software-defined⁣ RAN, enabling operators to participate in every phase of​ the next-generation wireless network, from development to deployment.

Key Features of NVIDIA AI Aerial

NVIDIA Aerial CUDA Accelerated RAN includes software libraries that enable partners to develop and‍ deploy high-performance ‌virtualized RAN workloads on NVIDIA accelerated computing platforms.
The NVIDIA Aerial AI Radio framework includes PyTorch and TensorFlow-based software libraries to develop and train models to improve⁢ spectral efficiency and add new capabilities to 5G and 6G wireless​ signal processing.
* NVIDIA ⁤Aerial Omniverse Digital⁢ Twin (AODT) is ‍a system-level​ network digital twin⁢ development platform that enables the physical-accurate simulation of wireless systems, from single base stations to comprehensive networks with multiple base stations spanning entire cities.

NVIDIA AI Aerial and AI-RAN Innovation Center

NVIDIA partners with T-Mobile, Ericsson, and Nokia to establish the AI-RAN Innovation Center and accelerate the commercialization of AI-RAN. The ⁢center will leverage key⁣ capabilities of‍ the NVIDIA AI Aerial platform to deliver innovative network experiences to customers through AI-RAN development.

NVIDIA AI Aerial Ecosystem

Softbank and ‍Fujitsu are key ‌partners ‍in the growing NVIDIA AI Aerial ecosystem. Ansys and Keysight are using NVIDIA AODT in‍ their test⁣ and simulation systems, while partners​ and academics such as Deepsig, ETH-Zurich, Northeastern University, and Samsung are⁢ collaborating on 6G research and the NVIDIA Aerial AI​ radio framework. Key partners for NVIDIA AI Aerial⁣ include cloud stack software providers Aarna Networks, ⁣Canonical, Red ⁣Hat, and Wind‌ River; ​networking stack providers Arrcus Networks; and server infrastructure providers ‌Dell ⁢Technologies, Hewlett Packard Enterprise, and Supermicro. Edge solution providers​ such as ⁢Vapor.io and AI Proving Ground are also joining forces.

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