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</html><thumbnail_url>https://www.gsma.com/newsroom/wp-content/uploads//abstract_globe.png</thumbnail_url><thumbnail_width>600</thumbnail_width><thumbnail_height>338</thumbnail_height><description>New&#xA0;initiative&#xA0;is&#xA0;supported&#xA0;by&#xA0;open-telco models,&#xA0;including&#xA0;a&#xA0;new&#xA0;family of&#xA0;models&#xA0;from&#xA0;AT&amp;T, compute from AMD&#xA0;and&#xA0;TensorWave,&#xA0;datasets&#xA0;from&#xA0;researchers&#xA0;and&#xA0;a&#xA0;new&#xA0;portal&#xA0;for industry&#xA0;contribution and&#xA0;collaboration&#xA0;via&#xA0;GSMA.com/open-telco-ai&#xA0; 2&nbsp;March&nbsp;2026,&nbsp;Barcelona&nbsp;&#x2013;&nbsp;GSMA&nbsp;today&nbsp;launched&nbsp;Open Telco AI, a global industry&nbsp;initiative&nbsp;designed to&nbsp;accelerate&nbsp;telco-grade AI through open collaboration&nbsp;across&nbsp;operators, vendors, AI&nbsp;developers&nbsp;and academic institutions.&nbsp;The&nbsp;launch&nbsp;introduces&nbsp;a&nbsp;new&nbsp;portal&nbsp;for&nbsp;telco&nbsp;open&nbsp;models, data,&nbsp;compute&nbsp;and tools&nbsp;to accelerate the development&nbsp;and evaluation of telco-focused AI models,&nbsp;accessed via&nbsp;GSMA.com/open-telco-ai.&nbsp;&nbsp;&nbsp; While frontier AI models have&nbsp;advanced&nbsp;rapidly,&nbsp;they&nbsp;continue&nbsp;to&nbsp;underperform&nbsp;on telecom specific tasks.&nbsp;Many&nbsp;general-purpose&nbsp;models struggle&nbsp;to interpret&nbsp;network data,&nbsp;understand&nbsp;standards&nbsp;documentation,&nbsp;or automate network operations with&nbsp;sufficient accuracy.&nbsp;This performance gap&nbsp;limits progress:&nbsp;only 16% of [&hellip;]</description></oembed>
