SAN FRANCISCO – AMD unveiled an open-source model designed to help telecom operators make better sense of vast amounts of network data.
Dubbed OTel 2.0, the model was co-developed alongside AT&T, Microsoft, and other members of the Open Telco AI program that launched earlier this year. OTel 2.0 was trained on data provided by members, with the chip giant claiming it was the “best performing” industry-specific open model.
AMD in a press release stated that AT&T has already processed more than one trillion tokens on AMD graphic processing units (GPUs) via Microsoft Foundry for training, with tokens used to post-train OTel 2.0 to improve its performance capabilities.
“AT&T’s progress shows what becomes possible when open collaboration, telecommunications expertise ,and right-sized compute come together,” Dan McNamara, AMD’s SVP and GM for compute and enterprise AI, said. “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.”
Like its big green rival, AMD has sought to tout its hardware to carriers and operators, with the ever-growing AI radio access network (AI-RAN) segment edging closer to reality.
Unlike Nvidia and its decision to invest $1 billion in one specific player in this space, AMD instead opted to toe its traditional open, community line via the Open Telco AI program. The chip giant acts as the compute capacity provider and has also made its open software foundation available to the likes of Telefónica, China Unicom, and SK Telecom, who count among those on board as program contributors.