Supermicro has strengthened its commitment to next-generation telecom infrastructure by expanding support for Sovereign AI platforms and Artificial Intelligence–Radio Access Network (AI-RAN) solutions. At Mobile World Congress Barcelona, the world’s largest telecom industry gathering, the company joined forces with ecosystem partners to demonstrate real-world AI deployments that combine performance, scalability, and energy efficiency.
As telecom operators increasingly embed artificial intelligence into their networks, they require infrastructure that meets the unique demands of distributed environments. Addressing this need, Supermicro introduced enhanced AI-RAN systems aligned with the NVIDIA Aerial RAN Computer design. These systems support advanced technologies, including the NVIDIA Blackwell architecture, with upcoming solutions set to integrate NVIDIA ARC-Pro.
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“Delivering AI to the RAN at scale requires infrastructure optimized for telecom networks,” said Charles Liang, president and CEO of Supermicro. “As operators integrate intelligence into their networks and develop sovereign AI strategies, Supermicro’s flexible Data Center Building Block Solutions (DCBBS) and deep ecosystem collaborations enable rapid deployment of high-performance, energy-efficient solutions that help ensure data sovereignty and long-term scalability.”
To support diverse telecom workloads, Supermicro has broadened its AI-RAN portfolio. The ARS-111L-FR, a compact 1U short-depth system, features an NVIDIA Grace CPU C1 and supports NVIDIA ConnectX Ethernet adapters for high-speed networking. Moreover, it accommodates up to two low-profile GPUs, including the NVIDIA L4, making it ideal for distributed RAN deployments.
Meanwhile, the ARS-221GL-NR 2U Grace Superchip system delivers high performance with support for up to two double-width GPUs. Supermicro further enhanced this platform to support NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, enabling telecom operators to manage intensive AI workloads seamlessly.
In addition, the ARS-111GL-NHR 1U GH200 Grace Hopper Superchip system integrates a GPU with a 900 Gb/s NVLink interconnect between CPU and GPU. Combined with NVIDIA BlueField DPUs and ConnectX Ethernet adapters, the Grace Hopper architecture accelerates research and AI inference at the network edge.
Beyond AI-RAN, Supermicro is actively advancing Sovereign AI capabilities. As enterprises prioritize data control and regulatory compliance, sovereign AI enables organizations to develop and manage AI within their own secure environments. Consequently, telecom operators can offer secure, in-country AI infrastructure services while unlocking new revenue streams.
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At MWC, several global telecom leaders showcased implementations powered by Supermicro hardware. Telenor introduced Telenor AI Factory, Norway’s first sovereign AI cloud platform, delivering NVIDIA GPU-accelerated infrastructure entirely within national borders.
Similarly, SK Telecom unveiled the Haein Cluster, a sovereign AI infrastructure platform built with more than a thousand Supermicro AI servers powered by NVIDIA Blackwell GPUs. Hosted at its Gasan AI Data Center, the cluster provides GPU-as-a-Service for training, inference, and large-scale AI development.
At the same time, Nokia validated Supermicro’s 1U Grace Hopper ARS-111GL-NHR system to run its AnyRAN cloud-native RAN software. Nokia also introduced a validated hybrid AI/ML training and inference design based on Supermicro AS-8125GS-TNMR2 servers.
Furthermore, Viettel High Tech adopted Supermicro’s short-depth 1U edge servers to power its large-scale 5G Open RAN network in Vietnam, accelerating innovation while reducing infrastructure costs.
Through these collaborations, Supermicro continues to position itself at the forefront of AI-powered telecom transformation, enabling operators worldwide to deploy intelligent, scalable, and sovereign-ready infrastructure.
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