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 and accelerated infrastructure for 5G, and bring connected intelligence to smart devices at the edge.
View Report: State of AI in Telecom 2024
Ansys, Keysight, Nokia, and Samsung are among the first to use NVIDIA Aerial Omniverse Digital Twin, Aerial CUDA-Accelerated RAN, and Sionna Neural Radio Framework.
NVIDIA is a founding member of the AI-RAN Alliance, which was formed to advance cutting-edge research and development in AI that will transform RAN for 5G and upcoming 6G. The collaborative initiative aims to enhance global mobile network efficiency, reduce power consumption, and retrofit existing infrastructure by bringing together AI and RAN.
ServiceNow and NVIDIA introduced Now Assist for Telecommunications Service Management (TSM), built on the Now Platform with NVIDIA AI Enterprise to boost agent productivity, speed time to resolution, and enhance customer experiences.
The RAN is the artery of the global cellular industry, serving over five billion users.The NVIDIA Aerial™ platform and NVIDIA-accelerated computing deliver industry-leading performance for 5G RAN networks in the field, as well as best-in-class total cost of ownership (TCO) and return on investment (ROI), by supporting generative AI and 5G on the same hardware and pioneering 6G research tools for the future.
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, generating vast amounts of valuable data. By leveraging generative 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
Telecom companies are perfectly positioned to expand their data centers with the accelerated computing infrastructure to support sovereign AI models and manufacture intelligence. This new class of data centers, known as AI factories, enables local governments, enterprises, and startups to build, develop, and deploy generative AI applications with enhanced security, performance, and fine-tuning for local language and cultural standards.
At Jio, we’re committed to fueling India’s technology renaissance by democratizing access to cutting-edge technologies, and our collaboration with NVIDIA is a significant step in this direction. Together, we will develop a state-of-the-art AI cloud infrastructure that’s secure, sustainable, and deeply relevant across India, accelerating the nation’s journey.
- Mukesh Ambani, Chairman and Managing Director, Reliance Industries
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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