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NVIDIA report shows 89% of telcos prioritize open AI models for customization and cost

NVIDIA’s State of AI in Telecommunications report highlights why telecom operators are shifting to open AI models. According to the survey, 89% of respondents say open source models and software are critical to their AI strategy. The report outlines five key benefits: lower costs for frontier-level intelligence, customization with proprietary data, greater trust and control over model behavior,…

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Key points

  • NVIDIA’s survey finds 89% of telecom operators prioritize open AI models for cost and customization
  • Open models enable fine-tuning with proprietary data for network operations, customer care, and local AI services
  • NVIDIA provides end-to-end tools like *Nemotron*, *Agent Toolkit*, and *AI Enterprise* for production deployment

NVIDIA’s Nemotron family of open models is positioned as a foundation for telecom-specific AI, with NVIDIA Agent Toolkit and NVIDIA AI Enterprise software enabling production-ready workflows. SoftBank Corp. and AT&T are among operators leveraging open models, with SoftBank using them to develop its SoftBank Large Telecom Model for network operations. AT&T emphasizes model flexibility aligned with business priorities. Meanwhile, Indosat Ooredoo Hutchison’s Sahabat-AI models demonstrate how operators can adapt open foundations to local languages and cultural contexts.

Full story from NVIDIA Blog · by Kanika Atri primary sourceOpen source ↗

Why Telecom Operators Are Building Their AI Strategy on Open Models

NVIDIA Blog · 6 October 2026

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This text was published by NVIDIA Blog and written by Kanika Atri. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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NVIDIASoftBank Corp.AT&TIndosat Ooredoo HutchisonNemotronSahabat-AISoftBank Large Telecom ModelRajeev KoodliAndy MarkusChirag Sukhadia

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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