The nexus of AI, the Internet of Things (IoT), and accelerated computing at the edge is turbocharging network performance and efficiency. The world’s leading telcos are turning to NVIDIA technologies to create AI-enabled solutions, build software-defined infrastructure for 5G, and bring connected intelligence to smart devices at the edge.
View Report: State of AI in Telecom 2023
The software-defined network built on the NVIDIA Aerial™ vRAN stack helps drive performance, efficiency, and flexibility.
Arm-based NVIDIA Grace Hopper Superchip, BlueField-3 DPU and Aerial SDK power revolutionary architecture for generative AI and 5G/6G communications.
New NVIDIA AX800 converged accelerator delivers high-performance 5G, allowing cloud service providers to host 5G RAN and AI services on multi-tenant GPU cloud infrastructure.
NVIDIA networking telco solutions provide intelligent offloads and accelerators to maintain adherence to stringent Radio Access Network (RAN) timing specifications, offer real-time edge AI processing, and provide an accelerated and efficient infrastructure for 5G and network services applications.
With accelerated computing infrastructure for fixed and next-generation wireless networks, telcos can achieve industry-leading network performance, efficiency, and security . NVIDIA Aerial™ delivers best-in-class TCO and ROI for telcos, cloud service providers (CSPs), and enterprises by supporting generative AI and 5G on the same hardware.
As we enter an era where society coexists with AI, the demand for data processing and electricity requirements will rapidly increase… Our collaboration with NVIDIA will help our infrastructure achieve a significantly higher performance with the utilization of AI, including optimization of the RAN. We expect it can also help us reduce energy consumption and create a network of interconnected data centers that can be used to share resources and host a range of generative AI applications.
- Junichi Miyakawa, President and CEO, SoftBank Corp.
Network operations are becoming increasingly complex, and vast amounts of valuable data are 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.
Enterprises across industries are adding business value by adopting edge AI technologies, including computer vision, extended reality, and robotics. Telcos, with connectivity and edge infrastructures, 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"
Explore the use cases driving telco investment in AI, including examples of telco deployments, and get an introduction to the ecosystem that can support your AI journey.
Learn about telcos who are working with NVIDIA’s AI ecosystem and the applications they’re investing in to capitalize on enterprise service opportunities.
Learn why a DPU or SmartNIC is one of the best ways to improve data center efficiency, and reduce server power consumption by up to 30%.
Explore advances in 5G network acceleration and security, how AI-on-5G and edge applications are delivering new services, and how telcos are improving operations with AI.
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