AMD has announced at MWC 2026 its presence in open and collaborative industrial initiatives such as Open Telco AI. The company promises comprehensive, right-sized solutions to bring AI ambitions to production, from enterprise AI software to cutting-edge CPUs, GPUs, networking technologies and adaptive computing.
As telecom operators move from AI experimentation to production and from traditional radio access networks (RAN) to open, virtualized architectures, they face the challenge of making innovation work in their networks at real scale. Success requires more than a model or a single infrastructure layer: an open ecosystem is needed to develop telecom-quality AI, software for its reliable operation, and efficient computing designed for distributed deployments at the edge.
Open Telco AI
Telecommunications networks are among the most complex and critical systems in the world. Its operators rely on AI to dynamically optimize networks, automate operations, and improve resilience without disrupting live services that billions of people depend on. However, despite the rapid improvement of AI models, these advances have not consistently translated into telecom-specific performance, as demonstrated by the GSMA report, which indicates that only 16% of generative AI deployments have been in networks.
That’s why AMD, along with AT&T, TensorWave and other telecommunications industry leaders, will participate in Open Telco AI, a new global initiative led by GSMA and announced at the Barcelona fair to accelerate telecom-grade AI models and systems through open collaboration.
The initiative is anchored by the launch of open-telco.ai, a new portal designed to bring together operators, suppliers, researchers and developers with shared resources, data sets, tools and benchmarking. The initiative offers new open models AT&T telecommunications, AMD compute, and TensorWave hosting to help scale the deployment.
In the collaboration, AMD Instinct GPUs train Open Telco AI models, helping to turn shared data sets and benchmarks into practical telecom-focused models that the ecosystem can build on. Coupled with the open and rapidly evolving AMD ROCm software platform, professional graphics provide an open foundation for training and inference that helps teams interact quickly as they progress from experimentation to validation.
AMD Enterprise AI Suite
Training telecom-grade models is a critical milestone, but generating real impact on live networks depends on a software layer that turns models into repeatable, governed, and scalable services. AMD Enterprise AI Suite is designed for Help organizations move from AI experimentation to full-scale production connecting key open source AI frameworks and generative AI models with an enterprise-ready platform on AMD Computing.
The suite brings together production-oriented components designed for teams operating GPU infrastructure at scale, and encompasses model management, validated workflows, governance, and development environments.
Sustainable foundation for the edge
As open and virtualized networks scale, challenges include power costs, resource usage in limited edge environments, automation, and long-term scalability. In that context, the model and software layers benefit from an efficient CPU foundation designed for distributed deployments where power, space, and deterministic behavior are crucial.
The recently announced AMD EPYC 8005 server CPUs are designed for demanding edge environments. They are optimized for telecom, with high compute density to support virtual RAN (vRAN) workloads and include high-power Layer 1 processing. The processors are tailored to real-world deployment conditions and support wide thermal operating ranges, allowing OEMs to certify NEBS-compliant platforms for rugged and outdoor telecom deployments as well as small form factor systems.
