GSM gold starGSM Global
中文版 · Chinese

NVIDIA Partners With Rebellions and SK Telecom on Korean Sovereign AI: Rebel R200 NPUs to Connect via NVLink Fusion, Systems Expected Ready for Deployment in 20

Monday, November 9, 2026 · Tech · GSM News

NVIDIA announced on November 8 a collaboration with Korean AI chip company Rebellions and telecommunications operator SK Telecom to advance South Korea's sovereign AI infrastructure. Under the arrangement, Rebellions will connect its next-generation Rebel R200 neural processing units (NPUs) to NVIDIA's platform through NVIDIA NVLink Fusion and develop rack-scale systems around the NVIDIA MGX rack architecture, while SK Telecom plans to deploy the resulting systems in its AI data center and connect them with its proprietary foundation models and public-facing services.

NVIDIA said NVLink Fusion extends its platform to custom XPUs, allowing specialized chipmakers to use its high-bandwidth, low-latency scale-up networking and infrastructure ecosystem. Rebellions is developing the R200 for low-latency, energy-efficient inference with frontier models, including multitrillion-parameter mixture-of-experts models; its current flagship is the Rebel100 inference chip, built on a chiplet architecture with an open-source software stack. The companies expect R200 systems to be ready for deployment in 2028. The announcement disclosed no deployment size, investment amount, order quantity or measured performance results.

Korea's Ministry of Science and ICT supports the collaboration, which it described as support for cooperation between NVIDIA and Korean NPU companies beginning with Rebellions and SK Telecom. SK Telecom said combining Korean AI semiconductors with global infrastructure technology would strengthen its sovereign AI competitiveness. The processor collaboration follows a separate June 7 announcement of SK Telecom's plan for a gigawatt-scale AI Cloud in Korea using NVIDIA's DSX architecture.

—-

Source: NVIDIA and Rebellions (company

Published by GSM · USA (original Chinese edition)

Photo: 数据中心芯片(资料图)。(Wikimedia Commons)|Data-center chips (file photo). (Wikimedia Commons)

Latest in Tech