Developer Resources for
Telecommunications

A hub of news, SDKs, technical resources, and more for developers working in telecommunications.

Get Started With Telecommunications Use Cases

Deploy AI-Native 5G and 6G Networks With Accelerated RAN

Developers can use NVIDIA AI Aerial™ libraries to build a software-defined, CUDA®-accelerated radio access network (RAN) that runs AI and wireless workloads on the same accelerated infrastructure. Digital twin simulation tools enable realistic radio-frequency (RF) testing and validation before live deployment, speeding up iteration and reducing risk.

Automate Network Operations With Agentic AI and Digital Twins

Using NVIDIA NeMo™, NIM™ microservices, and AI Blueprints, developers can build AI agents that analyze network data, detect anomalies, and recommend or execute configuration changes. These workflows help automate optimization and troubleshooting in complex, real-time telecom environments.

Build Customer Service Agents With Generative AI

Developers can create voice and chat agents with NVIDIA NeMo and Riva that understand, summarize, and respond to customer issues across channels. GPU-accelerated inference enables real-time, scalable deployment for contact centers and digital support experiences.

Explore Tools and Technologies for Telecommunications

NVIDIA Aerial CUDA-Accelerated RAN

5G and 6G RAN

NVIDIA Aerial CUDA-Accelerated RAN (ACAR) is an SDK for building commercial-grade, AI-native, 3rd Generation Partnership Project (3GPP)- and O-RAN-compliant 5G and 6G Next-Generation Node B (gNB) software on NVIDIA-accelerated computing platforms.

NVIDIA Aerial Framework

Real-Time 5G and 6G Applications

NVIDIA Aerial Framework is a framework for generating high-performance, CUDA-accelerated 5G and 6G pipelines from high-level programming languages.

NVIDIA Aerial Omniverse Digital Twin

Network Digital Twin

NVIDIA Aerial Omniverse™ Digital Twin (AODT) is a large-scale simulation platform that leverages NVIDIA GPUs to enable highly realistic twinning of radio environments and network behavior.

NVIDIA Sionna

6G Research

NVIDIA® Sionna™ is a GPU-accelerated open source library for research in communication systems. It's differentiable and features a lightning-fast ray tracer for radio propagation, a versatile link-level simulator, and system-level simulation capabilities.

NVIDIA NIM

Agentic AI

NVIDIA NIM is a set of easy-to-use microservices designed to accelerate the deployment of generative AI models across any cloud or data center.

NVIDIA Nemotron

Agentic AI

NVIDIA Nemotron™ is a family of efficient, mostly open multimodal models that include open datasets and recipes for building agentic AI.

NVIDIA NeMo

Agentic AI

NVIDIA NeMo is an end-to-end platform for developing custom generative AI anywhere. Deliver enterprise-ready models with precise data curation, cutting-edge customization, retrieval-augmented generation (RAG), and accelerated performance.

NVIDIA Riva

Conversational AI

NVIDIA Riva is an SDK for building and deploying AI applications that fuse vision, speech, and other sensors. It offers a complete workflow to build, train, and deploy GPU-accelerated AI systems that can use visual cues such as gestures and gaze along with speech in context.

NVIDIA DOCA

Data Center Workloads

By harnessing the power of NVIDIA BlueField® DPUs and SuperNICs, NVIDIA DOCA™ enables the rapid creation of applications and services that offload, accelerate, and isolate data center workloads.

Telecommunications Learning Resources

Tech Blog

Building the AI Grid With NVIDIA: Orchestrating Intelligence Everywhere

NVIDIA AI Grid Reference Architecture

Learn how the NVIDIA reference architecture unifies how operators build and orchestrate AI grids and shows how AI grids make real-time, multimodal, and hyperpersonalized AI experiences viable at scale.

Blueprint

Intent‑Driven 5G Energy Efficiency NVIDIA Blueprint

NVIDIA NIM Microservices

Turn static, rules‑based 5G energy policies into an intent‑driven, closed‑loop workflow that plans, simulates, and validates cell sleep and wake actions before they reach the live network.

Tech Blog

Building Telco Reasoning Models with NVIDIA NeMo for Autonomous Networks

NVIDIA NeMo

Learn how to fine-tune reasoning models with NVIDIA NeMo so they behave like NOC engineers, safely driving closed-loop, self-healing workflows.

Tech Blog

5 New Digital Twin Products Developers Can Use to Build 6G Networks

NVIDIA Aerial Omniverse Digital Twin

Designing, training, and validating AI-native networks for 6G is too complex for the physical world alone. That’s where digital twins come in.

Blueprint

AI Agent for Telecom Network Configuration Planning Blueprint

NVIDIA NIM Microservices

Automate and optimize the configuration of RAN parameters using agentic AI and a large language model (LLM)-driven framework.

Blog

NVIDIA Open Sources AI Aerial Libraries to Spark Wireless Network Development

NVIDIA AI Aerial

Explore open source NVIDIA Aerial libraries. Aerial Testbed and Sionna Research Kit are supported on NVIDIA DGX Spark™ for developing AI algorithms for wireless.

Documentation

Aerial CUDA-Accelerated RAN Documentation

NVIDIA Aerial CUDA-Accelerated RAN

ARC-Compact brings AI-RAN to cell sites, enabling efficient, space-constrained, and power-constrained edge deployments.

Tech Blog

Introducing the NVIDIA Sionna Research Kit on DGX Spark

NVIDIA Sionna

Learn about the all-in-one open source solution that allows for the rapid prototyping of next-generation, AI-native algorithms, training, and deployment in a real wireless network.

Tech Blog

Simulate an Accurate Radio Environment Using NVIDIA Aerial Omniverse Digital Twin

NVIDIA Aerial Omniverse Digital Twin

Explore Aerial Omniverse Digital Twin, an AI-native digital twin platform built with NVIDIA Omniverse and designed for cutting-edge research and development of 5G and 6G wireless systems.

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