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The intertwining of 5G, Internet of Things (IoT) and edge computing is dramatically increasing network performance. As a result, the world's leading telecommunications companies are using NVIDIA technologies to develop software-defined infrastructure that can meet the demand for increased memory and data processing and bring smart services to the edge.
Open Source Machine Learning Library to Accelerate 6G Research
NVIDIA Sionna™, a GPU-accelerated open source library for 6G link-level simulations, enables rapid prototyping of complex communication system architectures and provides native support for machine learning in 6G signal processing.
AI-on-5G is unlocking value in the enterprise. Ericsson, Microsoft, Mavenir and Fujitsu are among the companies showcasing their latest solutions for combining AI and 5G at the edge.
Ericsson Builds Digital Twins for 5G Network Deployment
In NVIDIA Omniverse, Ericsson is building city-scale digital twins to help accurately simulate the interplay between 5G cells and the environment for maximum performance and coverage.
Network operations are becoming increasingly complex and vast amounts of valuable data is being generated. By leveraging AI to extract timely, actionable insights from this data, telcos can optimize network operations, improve customer experiences, and unlock new revenue streams.
T-Mobile deployed a conversational AI-based chatbot, a self-service center, agent-assist functionality, and transcription services in their customer experience centers. Conversations between customers and agents are now transcribed to text—live—to better assist customer experience center agents. According to T-Mobile, in the first 18 months they realized a significant return on their investment.
The AI-Powered Telco
Accelerating Edge AI over 5G
NVIDIA AI-on-5G is 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 and enabling new use cases and new markets.
Enterprises, telecoms operators, and CSPs that deploy AI-on-5G will be able to handle both 5G and edge AI computing in a single, converged platform. This creates high-performance 5G RAN and AI applications to manage precision manufacturing robots, automated guided vehicles, drones, wireless cameras, self-checkout aisles, and hundreds of other transformational projects.
Delivering AI Applications at the Edge on a High-Performance 5G RAN
Tab 3 Content
Intelligent Services at the Edge
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 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
Accelerating Content, Services, and Application Delivery
NVIDIA networking telco solutions provide intelligent offloads and accelerators, driving maximum efficiency for 5G infrastructure network services applications, and maintain adherence to stringent RAN timing specifications.
Efficient Virtual Switching
NVIDIA Accelerated Switch and Packet Processing (ASAP2) offloads the virtual switch data plane to the SmartNIC or DPU, freeing precious CPU resources. Combining the performance and efficiency of server/storage networking hardware with the flexibility of virtual switching software provides software-defined networks with the highest total infrastructure efficiency, deployment flexibility, and operational simplicity.
Data Plane Development Kit or DPDK is a programming framework that provides faster packet processing and delivers increased performance and efficiency for applications requiring high-speed networking access. NVIDIA provides for an I/O packet performance breakthrough that eliminates the performance barrier associated with deploying Network Function Virtualization (NFV) solutions in both service provider networks and enterprise cloud deployments.
NVIDIA time-triggered transmission technology for telco, referred to as 5T for 5G technology, provides time synchronization to achieve timing accuracy for network traffic and is a real-time, high-performance solution for building an efficient, time-synchronized CloudRAN infrastructure.
NVIDIA CloudXR™ is a hybrid edge computing architecture that renders high-quality AR/VR content at the edge and streams it over the 5G network using dynamic quality of service mechanisms. Delivery of immersive experiences for sports and entertainment, retail, education, and more represent a powerful new category of 5G services for telcos.
NVIDIA® GeForce NOW™ is a turnkey solution, bringing high-quality, AAA PC gaming to nearly any device. Powered by the 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 such as 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.
This website uses cookies, which are necessary for the technical operation of the website and are always set. Other cookies, which increase the usability of this website, serve for direct advertising or simplify interaction with other websites and social networks, will only be used with your consent.
