SAN JOSE, CA and BARCELONA, Spain, Mar 3, 2026 – Supermicro is advancing infrastructure for sovereign AI platforms and AI Radio Access Networks (AI-RAN). At Mobile World Congress Barcelona, Supermicro and its partners are showcasing systems designed for AI-driven telecom networks. The demonstrations highlight performance, efficiency and scalable deployment for next-generation network infrastructure.
“Delivering AI to the RAN at scale requires infrastructure optimized for telecom networks,” said Charles Liang, president and CEO of Supermicro. “As operators embed intelligence across their networks and advance 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.”
Supermicro is expanding its AI-RAN systems to align with NVIDIA Aerial RAN Computer (ARC) design standards. The platforms support NVIDIA Blackwell architecture and will include products based on NVIDIA ARC-Pro.
- ARS-111L-FR is designed for distributed RAN workloads and fits a short-depth 1U form factor. The system uses the NVIDIA Grace CPU C1 and supports NVIDIA ConnectX Ethernet adapters for network connectivity. It supports up to 2 GPU cards, including the NVIDIA L4, for AI workloads.
- ARS-221GL-NR is a 2U Grace superchip system with up to 2 double-width NVIDIA GPUs. The platform supports NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. The configuration is designed to run AI workloads within telecom network environments.
- ARS-111GL-NHR is a 1U system based on the GH200 Grace Hopper superchip, combining an integrated GPU with a 900GB/s NVLink CPU-to-GPU interconnect. The platform also supports NVIDIA BlueField data processing units (DPUs) and ConnectX Ethernet adapters.
Enterprises pursuing sovereign AI seek control over AI development, deployment and governance within their own infrastructure and compliance frameworks. Demand for sovereign AI platforms is increasing among telecom operators offering in-country AI infrastructure services.
Scaling these platforms requires compute capacity, scalability and energy efficiency. Supermicro’s DCBBS support deployment and expansion of AI data centers, using modular architectures and thermal and power systems.
At MWC, Supermicro is collaborating with following companies to demonstrate use cases that advance AI acceleration.
- Telenor has launched Telenor AI Factory, Norway’s first sovereign AI cloud platform. It provides NVIDIA GPU-accelerated infrastructure for enterprises, startups and public sector organizations. The platform supports AI deployment with a focus on security, scalability and compliance.
- SK Telecom has built the Haein Cluster, a sovereign AI platform for large-scale workloads. The cluster features over 1,000 Supermicro AI servers equipped with NVIDIA Blackwell GPUs hosted at the Gasan AI Data Center. The Haein Cluster provides GPU-as-a-Service for training, inference and model development in South Korea.
- Nokia is showcasing solutions based on Supermicro hardware, including its AnyRAN software for cloud-native RAN deployment. Supermicro’s 1U Grace Hopper system ARS-111GL-NHR is validated to run AnyRAN. Nokia is also introducing a hybrid AI/ML training and inference design using Supermicro AS-8125GS-TNMR2 servers.
- Viettel High Tech has built a 5G network based on Open RAN standards. Its infrastructure includes Supermicro short-depth 1U edge servers. The system supports 5G and advanced wireless networks.
Source: Super Micro Computer
About Super Micro Computer
Super Micro Computer Inc., or Supermicro, is a provider of high-performance server technology and green computing solutions. Founded in 1993 by Charles Liang and Sara Liu, the company is headquartered in San Jose, CA. Supermicro offers a complete range of products, including servers, storage systems, networking devices, and server management software, serving industries like enterprise data centers, cloud computing, artificial intelligence, 5G, and edge computing. As of June 2023, the company employs approximately 5,126 individuals globally.