The nexus of 5G, the internet of things (IoT), and edge computing is turbocharging network performance. That’s why the world’s leading telecommunications companies are turning to NVIDIA technologies to build software-defined infrastructure that can meet the demand for increased memory and voluminous data processing and bring smart services to the edge.
The Grid Factory and Vodafone are pairing 5G and NVIDIA CloudXR™ to enable medical students at Coventry University to stream virtual, immersive 3D tours through the human body—from organ systems down to blood cells.
Designed to jumpstart performance evaluation and benchmarking for RAN development, the NVIDIA Aerial™ Developer Kit will include preconfigured software and test vectors to deliver an out-of-the-box guided experience.
Machine learning and 5G networks promise to reshape factories, warehouses, and farms in ways that can benefit all, said FCC Chairman Ajit Pai in his recent GTC talk with NVIDIA's Soma Velayutham. Find out how AI is driving the next industrial revolution.
The growth of machine-to-machine data will spur a massive boom in data traffic, requiring network resources to be under smart control. NVIDIA Aerial SDK enables a flexible and dynamic virtual radio access network (vRAN) environment by separating network functions from the underlying hardware. This simplifies the deployment of new features and algorithms and streamlines resource usage.
Telecom and computing are converging, enabling new types of applications we haven’t yet imagined. NVIDIA’s high performance computing platform allows new services to share the same computing fabric as the 5G RAN. Telcos can maximize their network investment and bring new services widely to the market.
-NVIDIA Debuts Aerial Software Development Kit to Help Telcos Create World’s First AI-Enabled Software-Defined 5G Networks, NVIDIA Blog
Localizing compute processes close to end users improves network transit latency, data storage, and processing, which drives the performance of intelligent applications. With the NVIDIA EGX edge computing platform, enterprises can securely deploy and manage AI workloads where real-time answers and decisions are happening, on the cloud or in the data center.
NVIDIA’s EGX ecosystem includes more than 100 technology companies worldwide, from startups to established software vendors, cloud service providers, and global server and device manufacturers.
-World’s Top Companies in Manufacturing, Retail and Telecom Adopt NVIDIA’s EGX Platform to Bring AI to the Edge, NVIDIA Blog
The NVIDIA CloudXR™ SDK enables the streaming of OpenVR applications to 5G-connected Android and Windows devices. This gives users access to high-powered servers as well as enabling the use of graphics-intensive applications on relatively low-powered graphics hardware.
NVIDIA GeForce NOW is a turnkey solution, bringing high-quality, AAA PC gaming to nearly any device. Powered by GeForce™ GPU architecture in the cloud, it connects consumers to their library of PC games from a variety of digital stores.
Businesses aren’t the only ones turning to accelerated AI at the edge. Cities like Dubuque, Iowa, are creating safer road conditions and delivering faster emergency services. In Dubuque, dozens of connected cameras provide real-time analysis of traffic with the ability to detect dangerous drivers, obstacles blocking roadways, and people who may need emergency assistance.
Accelerated edge computing and AI is transforming manufacturing into a safer, more efficient industry. BMW is putting inspection cameras on the factory floor, providing a 360-degree view of their assembly line. This creates real-time insights and a safer, more streamlined manufacturing process. Procter & Gamble is leveraging faster edge computing to assist employees during inspections. By analyzing thousands of hours of footage from inspection lines, the company can immediately flag imperfections, improving quality control and helping them to meet the highest safety standards. Warehouse productivity, efficiency, and accuracy of orders can also be improved, by deploying GPU-accelerated AI at the edge—in the warehouse itself.
NVIDIA GPUs make applications like cloud-based virtual reality (VR), smart cities, cloud gaming, 360-degree immersive video, connected drones, and autonomous vehicles possible. As demands on the telco industry grow, these applications will be able to take advantage of GPU computing power, without having to change software functionalities.
Verizon is embedding NVIDIA GPUs throughout its network—at its mega data centers, at the hundreds of smaller ones that those feed, and at the thousands of smaller cell sites supported by those—to deliver the best capabilities in high-performance computing (HPC).
Hear industry experts cover the challenges, strategies, potential solutions, and global case studies relating to the network upgrade to 5G.
Learn about the components necessary to creating a GPU-based edge platform, see real-world examples of computer vision and ray tracing on mobile devices, and discover how ray tracing using NVIDIA technology delivers photorealistic images over 5G.
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