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AAI 2026: Open Telco AI Optimizes Models, Infrastructure and Token Costs

At Advancing AI 2026, AMD, AT&T, and Microsoft announced OTel 2.0, an open-source model trained specifically for telecoms, with AT&T processing more than 1 trillion tokens through managed compute in Microsoft Foundry using AMD Instinct GPUs to post-train the model on 400 billion tokens. The model is the largest and best-performing open-source model for the telco industry, aiming to automate operations, improve troubleshooting, and enhance customer experiences.

read2 min views2 publishedJul 23, 2026
AAI 2026: Open Telco AI Optimizes Models, Infrastructure and Token Costs
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Using AMD hardware, AT&T trains additional open, telco-specific models in Microsoft Azure as the Open Telco AI initiative moves from industry vision to practical deployment. What’s the News? At Advancing AI 2026, AMD, AT&T and Microsoft announced OTel 2.0, an open-source model trained specifically for telecoms. AT&T has processed more than 1 trillion tokens through managed compute in Microsoft Foundry, leveraging AMD Instinct™ GPUs to train the OTel 2.0 models, moving telco-trained models from vision to scale. This progresses the dedication by AMD, AT&T, GSMA and other industry leaders to provide the telco industry with models specifically trained for its needs, announced at

MWC 2026. Why It Matters? The new OTel 2.0 model, trained on data provided by the Open Telco AI initiative, is the next step in bringing together models, datasets, benchmarks, tools and compute to help operators interpret network data, understand telco standards and support complex operations. OTel 2.0 is the largest and best performing open-source model for the telco industry to use. The approach can support more automated operations, faster troubleshooting, improved resiliency and better customer experiences.

What’s the Role of AMD?

How Does AMD Enable Scale? AMD Instinct GPUs and the open AMD ROCm software platform provide AT&T a foundation for model training and inference. AT&T processed 1 trillion tokens through managed compute in Microsoft Foundry to identify the most meaningful 400 billion tokens and used those tokens to post-train the new OTel 2.0 model on AMD hardware. AT&T says the training on OTel 2.0 has made it the largest and best-performing open-source model in the Open Telco AI initiative.

What’s Next? The next chapter of telco AI will be measured by practical outcomes, not model size alone. Open collaboration, industry expertise and flexible compute can help operators automate network operations, troubleshoot issues faster, improve resiliency and deliver better customer experiences.

**More:** [Advancing AI 2026](https://newsroom.amd.com/press-kits/advancing-ai-2026-all-news) (Press Kit)

Press inquiries: [corporate.pressinquiry@amd.com](mailto:corporate.pressinquiry@amd.com)
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