The nexus of 5G, the Internet of Things (IoT), and edge computing are 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.
Connecting the Siemens Xcelerator ecosystem with NVIDIA Omniverse’s AI-enabled, physically accurate simulation engine enables a new era of industrial automation.
U.K. vehicle battery manufacturer Hyperbat innovates design processes using 5G, VR, and edge computing.
Faster processing of trillions of records with NVIDIA RAPIDS™ Accelerator for Apache Spark enables teams to optimize networks and boost customer satisfaction while saving costs.
Network operations are becoming increasingly complex and vast amounts of valuable data is being generated. By leveraging AI to extract timely, actionable insights 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.
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.
Enterprises across industries are adopting edge AI technologies, including computer vision, extended reality, and robotics, to add business value. Telcos, with their connectivity and edge infrastructure, are uniquely positioned to provide these services.
What is clear is that 5G is set to shift operators’ service models away from monthly voice, data, and messaging bundles and towards higher value services that are tuned for specific customer requirements—and that it will increasingly make use of edge computing.
-"Developing an Edge in 5G Services"
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.
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 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).
See what’s next in telecommunications. Hear industry experts discuss advances in 5G network acceleration and security, and learn how innovators are harnessing the potential of AI-on-5G and edge applications to deliver new services.
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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