---
格式版本: 2
标题: "AAI 2026: Open Telco AI Optimizes Models, Infrastructure and Token Costs"
原文链接: "https://newsroom.amd.com/news/aai-2026-att-open-telco-update/"
发布日期: "2026-07-23"
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AI优质: "否"
AI打分: 47
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "内容为AMD与AT&T、Microsoft联合发布电信AI模型OTel 2.0，不涉及超节点/AI Rack/机柜级AI基础设施或相关部件/供电/散热/互连等核心主题，技术细节仅限于模型训练token数，无硬件架构参数。"
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去重键: "https://newsroom.amd.com/news/aai-2026-att-open-telco-update"
---

**What’s the News?** At Advancing AI 2026, AMD, AT&T and Microsoft announced [**OTel 2.0**](https://www.open-telco.ai/), 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](https://www.amd.com/en/blogs/2026/mwc2026--amd-advances-ai-for-telco-networks.html).

**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?**

> AT&T’s progress shows what becomes possible when open collaboration, telecommunications expertise and right-sized compute come together. By combining AMD Instinct GPUs, the open AMD ROCm™ software platform and flexible compute from core to edge, we can help operators build and deploy telco-specific AI at scale while balancing accuracy, performance and cost.

— Dan McNamara, senior vice president and general manager, Compute and Enterprise AI, 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)