Rebellions, SK Telecom, and Arm Collaborate on Sovereign AI Infrastructure

Apr 13, 2026
Rebellions has partnered with SK Telecom and Arm to develop AI inference infrastructure for sovereign AI and telecom data centers. The collaboration integrates Rebellions’ RebelCard accelerator with Arm’s AGI CPU to create high-performance, energy-efficient servers.
Rebellions, SK Telecom, and Arm Collaborate on Sovereign AI Infrastructure

South Korean AI chipmaker Rebellions has announced a collaboration with SK Telecom and Arm Holdings Plc to develop AI inference infrastructure for sovereign AI and telecommunications data centers, announced in a press release.

The partnership combines Arm’s AGI CPU, the company’s first data center processor, with Rebellions’ RebelCard AI accelerator. The integrated system is designed for high-performance AI inference with improved energy efficiency compared to GPU-based servers, supporting air-cooled operation for telecom and data center environments.

The companies plan to validate the system within SK Telecom’s AI data center, testing performance and stability for sovereign AI models and large-scale telecom workloads. They also intend to evaluate SK Telecom’s proprietary foundation model, A.X K1, on the new servers.

Following validation, the partners will explore broader commercial deployment opportunities, focusing on providing optimized and stable AI infrastructure solutions for global telecommunications providers and public sector clients seeking independent AI systems.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

AI Chips & Datacenters Enterprise AI AI Brief AI Brief (X)
Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.