GSMA

Welcome to the official GSMA organization on Hugging Face!

The GSMA represents mobile operators and organisations across the mobile ecosystem worldwide. We are building open resources to advance AI in telecommunications — making telecom-domain evaluation, benchmarking, and knowledge accessible to the global research community.

Open Telco AI

Open Telco is a comprehensive suite of telco-specific benchmarks built on the Inspect AI framework, designed to ensure safe and optimal deployment of AI in telecommunications environments. A collaborative effort with major telecom providers, research institutions, and universities.

• ot-full — 16,866 evaluation samples across 7 benchmarks — the complete evaluation suite
• ot-lite — 1,700 sample subset for fast iteration during model development
• Leaderboard Scores — Published benchmark scores with standard errors

Benchmarks

The evaluation suite curates 7 telecom-domain benchmarks from academic and industry sources:

Models

• OTel-Emeddings - Emeddings on different architectures and sizes to improve RAG on telco docuements Contirbuted by the Open Telco Ai project and trained by ATT.
• OTel-LLM - Bases LLMs on different architectures and sizes improve RAG on telco docuements. Contirbuted by the Open Telco Ai project and trained by ATT.
• AdaptKey-Nemotron-30b — NVIDIA Nemotron 3 Nano fine-tuned by AdaptKey for telecom. Contributed by NVIDIA and AdaptKey.

Datasets

• telecom-kg-rel19 — Large-scale telecom knowledge graph built from 3GPP Release 19 specifications, with text chunks for retrieval-augmented generation (RAG) and LLM reasoning over standards
• oran_spec_knowledge_graph A knowelge graph of 25,103 nodes and 98,679 relationships extracted from official O-RAN Alliance specification documents using OpenAI GPT-4.1
• AdaptKey Nemotron 30B Training Data — Dataset used to fine-tune Nemotron 3 Nano for telecom. Contributed by NVIDIA and AdaptKey.

Resources

• NVIDIA Blueprint: AI Agent for Telecom Network Configuration Planning — Agentic blueprint for RAN configuration. Contributed by NVIDIA (in collaboration with BubbleRAN).
• NVIDIA Blueprint: Intent Driven RAN Energy Efficiency — Agentic blueprint for RAN energy saving with simulation. Contributed by NVIDIA (in collaboration with VIAVI).
• NVIDIA Guide: Teaching a Model to Reason Over Telecom Network Incidents — Guide on how to build NOC reasoning agents. Contributed by NVIDIA (in collaboration with Tech Mahindra).

Satellite — Eval Runner

Satellite provides telecom-focused evaluation operations built on Inspect AI. Run the full Open Telco benchmark suite locally within your own infrastructure with a single command.

Telecom Simulation Sandboxes

Purpose-built sandbox environments that place AI agents inside live telecom network simulations — for evaluating whether models can operate networks, not just answer questions about them.

• inspect-kathara — Run AI agent evaluations inside isolated network topologies. Integrates Inspect AI with Docker-based network sandboxes to evaluate agents' ability to diagnose and resolve network connectivity issues in reproducible environments.

• 5gs-sandbox — Run AI agent evaluations inside a complete 5G Standalone network. A full 5G SA deployment with 15 Docker containers (Open5GS + UERANSIM), enabling agents to configure, diagnose, and optimize real 5G network functions with actual performance measurement.

Research and Community

• GSMA AI Initiatives: https://www.gsma.com/solutions-and-impact/technologies/artificial-intelligence/open-telco.ai/
• Open Gateway: https://www.gsma.com/solutions-and-impact/gsma-open-gateway/
• MWC (Mobile World Congress): https://www.mwcbarcelona.com/