Partnerships
Rebellions to Use NVIDIA NVLink Fusion for Korean Sovereign AI
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NVIDIA announced on November 8, 2026, a collaboration with Rebellions and SK Telecom to connect Rebellions’ next-generation R200 processors to NVLink Fusion for Korean sovereign AI infrastructure, with the resulting systems expected to be ready for deployment in 2028.
Under the agreement, Rebellions will link its Rebel R200 neural processing units (NPUs) through NVLink Fusion and develop rack-scale systems around the NVIDIA MGX architecture. SK Telecom plans to deploy those systems in its AI data center and connect them with its proprietary models and services. The announcement therefore establishes a development and deployment plan, rather than describing infrastructure already in operation.
How the R200 Fits Into NVIDIA Racks
Rebellions is developing the R200 with the goals of low-latency and energy-efficient inference using frontier models, including multitrillion-parameter mixture-of-experts models. These are design objectives for a processor still under development, not performance measurements from deployed systems.
NVLink Fusion extends NVIDIA’s AI platform to custom XPUs, allowing specialized processors to use NVLink scale-up networking designed for high bandwidth and low latency. Rebellions intends to use that networking to connect R200 NPUs within a rack, plugging its own silicon into NVIDIA’s wider infrastructure ecosystem.
The interconnect also supports a planned disaggregated-inference design, which assigns separate stages of AI response generation to different processor architectures. NVIDIA GPUs would handle the prefill stage and Rebellions NPUs the decode stage. The companies are targeting improved inference throughput and power efficiency from this arrangement, which keeps NVIDIA GPUs in the system while giving Rebellions’ NPUs a specialized inference role.
MGX addresses the physical infrastructure surrounding the processors. Its reference designs and ecosystem give Rebellions access to original design manufacturers and component suppliers. GPU and NPU systems can also share data center design elements such as rack footprint, power delivery and cooling, giving SK Telecom a basis for facilities planning while Rebellions continues its processor and system development.
SK Telecom’s Sovereign AI Stack
SK Telecom’s contribution extends beyond housing the hardware. It plans to connect the infrastructure with proprietary foundation models, including A.X K2, and public-facing services developed under the Korean government’s AI for All project. The broader objective is to support AI services tailored to Korea’s language, industries and priorities, eventually establishing a foundation for services across the public and private sectors.
For SK Telecom, the resulting full-stack strategy spans data center operations, proprietary models and the services built on them. President and CEO Jung Jai-hun described combining those capabilities with Korean AI semiconductors and global infrastructure technology as a way to strengthen the company’s sovereign AI competitiveness.
Government backing is also part of the arrangement. Korea’s Ministry of Science and ICT is supporting collaboration between NVIDIA and Korean NPU companies, beginning with Rebellions and SK Telecom. Bae Kyung-hoon, Korea’s deputy prime minister and science and ICT minister, said it would enable Korean-developed NPUs to “enter the computing infrastructure market alongside NVIDIA” through NVLink Fusion. He also said the government would support tangible results and further cooperation with NVIDIA in areas including physical AI and securing GPU supply.
The processor collaboration follows a separate June 7, 2026, announcement outlining SK Telecom’s plan for a gigawatt-scale AI Cloud in Korea using NVIDIA’s DSX architecture. The first AI factory under that plan was scheduled to come online in 2027, and SK Telecom was set to become an NVIDIA Cloud Partner. The new processor work sits alongside that broader infrastructure relationship, with its own development and deployment schedule.
The plan gives Korean-developed silicon a defined route into NVIDIA-based AI factories, with SK Telecom providing the operating environment and connections to services. Before those services can use the R200, the companies must complete the processor and rack systems, integrate them into SK Telecom’s infrastructure and establish whether the proposed division of inference work delivers the intended efficiency gains.
