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.
In this fourth annual report, the survey highlights how AI is core to enhancing telco operations and business growth.
Nokia to use NVIDIA platforms to build new AI-RAN products. NVIDIA introduces Aerial RAN Computer Pro.
Booz Allen, Cisco, MITRE, ODC, and T-Mobile showcase early 6G applications on the NVIDIA AI Aerial platform.
In addition to voice, data, and video, networks now need to support AI traffic generated by smartphones, cameras, robots, drones, smart glasses, and more. This shift creates a transformative opportunity for communication service providers (CSPs), who can use their existing infrastructure to deliver AI inferencing at scale with low latency and guaranteed quality of service (QoS). NVIDIA AI Aerial makes it possible, offering the software-defined, accelerated platform that can power RAN and AI from the same infrastructure, so CSPs can support AI today while future-proofing for 6G.
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.
By leveraging generative AI to extract timely, actionable insights from network data, telecom companies can optimize network operations, improve customer experiences, enhance productivity, and unlock new revenue streams.
Amdocs, BubbleRAN, ServiceNow, SoftBank, and Tech Mahindra harness NVIDIA AI Enterprise to develop large telco models and new network AI agents.
— Blog:Telecom Leaders Call Up NVIDIA Agentic AI to Improve Network Operations
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, startups, research organizations, and institutions to build, develop, and deploy generative AI applications aligned with local language and cultural standards.
Sahabat-AI is not just a technological achievement; it embodies Indonesia’s vision for a future where digital sovereignty and inclusivity go hand in hand. By creating an AI model that speaks our language and reflects our culture, we empower every Indonesian to harness advanced technology’s potential. This initiative is a crucial step towards democratizing AI as a tool for growth, innovation, and empowerment across our diverse society.
- Vikram Sinha, President Director and Chief Executive Officer, Indosat Ooredoo Hutchison
Built to accelerate the next generation of agentic AI, NVIDIA Blackwell Ultra delivers breakthrough inference performance with dramatically lower cost. Cloud providers such as Microsoft, CoreWeave, and Oracle Cloud Infrastructure are deploying NVIDIA GB300 NVL72 systems at scale for low-latency and long-context use cases, such as agentic coding and coding assistants.
This is enabled by deep co-design across NVIDIA Blackwell, NVLink™, and NVLink Switch for scale-out; NVFP4 for low-precision accuracy; and NVIDIA Dynamo and TensorRT™ LLM for speed and flexibility—as well as development with community frameworks SGLang, vLLM, and more.

Our solutions for the telecommunications industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and 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.
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