The nexus of 5G, the Internet of Things (IoT), and edge computing is turbocharging network performance. That’s why the world’s leading telcos are turning to NVIDIA technologies—to build the software-defined infrastructure that can meet the memory and data-processing demands of 5G and bring smart services to the edge.
HEAVY.AI is using NVIDIA Omniverse™ to help telcos optimize wireless site placements, reducing the cost and complexity of network operations and improving customer experiences.
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.
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.
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.
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.
Conference & Training September 19 - 22 | Keynote September 20
Join us at GTC to learn how AI and 5G are transforming the telecommunications industry. With free virtual sessions that include technology overviews, solution deep dives, and thought leadership presentations, there’s a lot to explore.
Telcos have some of the largest datasets in the world. AT&T’s Data Science team will pull back the curtain on a series of use cases that have been accelerated using GPUs and NVIDIA AI tools and frameworks.
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Extended reality (XR) is consistently envisioned as one of the key killer apps for 5G, as XR requires ultra-low latency and large bandwidths to deliver wired-equivalent experiences for users. Verizon, AWS, and Ericsson will share how they’re collaborating to build the infrastructure for commercial XR services across a variety of industries.
The cellular industry spends over $90 billion annually on the radio access network (RAN), using dedicated hardware to provide capacity for peak demand. This often leads to persistent overprovisioning in many RAN sites, as only 10 percent of sites carry 50–60 percent of overall network load. Join us to learn about a game-changing approach that turns this underutilization into an opportunity—leveraging the same cloud and data centers used for AI to dynamically load share with 5G virtual RAN (vRAN).
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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