NVIDIA Deepens Korean Sovereign AI Work on Chips and Rack Systems

NVIDIA announced on November 9, 2026 an expanded collaboration with Korea’s Ministry of Science and ICT spanning AI chips, data centers, models, skills and agent security. The hardware project centers on Rebellions’ R200 processors and NVLink-based rack systems, which are expected to be ready for deployment in 2028.

Under the joint announcement, Rebellions will connect its next-generation Rebel R200 neural processing units (NPUs) to NVIDIA’s platform through NVLink Fusion and use the MGX architecture for rack-scale system development. SK Telecom plans to deploy the systems in its AI data center, linking them to proprietary models and public-facing services under AI for All. MSIT is supporting the project as the start of broader work between NVIDIA and Korean NPU companies.

Mixed-Processor Racks Split Inference Work

Rebellions describes the R200 as designed for low-latency, energy-efficient inference on frontier models, including models with multiple trillions of parameters. NVLink Fusion allows chipmakers to combine specialized silicon with NVIDIA’s high-bandwidth, low-latency scale-up networking and established infrastructure ecosystem.

The companies plan disaggregated inference, which assigns different stages of AI response generation to the processor architecture best suited to each task. NVIDIA GPUs would handle prefill and Rebellions NPUs decode, with the goal of improving inference throughput and power efficiency.

The MGX architecture provides a common rack footprint plus power-delivery and cooling elements that GPU and NPU systems can share. The shared design can support data center planning alongside Rebellions’ processor and system development, while the MGX ecosystem offers access to original design manufacturers and component suppliers.

Model Deployment and Workforce Training

Through AI for All, NVIDIA will work with three selected consortia and four Korean foundation-model builders, using Dynamo to optimize and scale inference. The accompanying deployment recipes cover SK Telecom’s A.X K2, LG AI Research’s K-EXAONE 2.0, Upstage’s Solar Open 2 and Motif Technologies’ Motif-3.

Dynamo is an open-source distributed inference-serving framework for multi-node deployments at data center scale. It coordinates request routing and communication when a model grows beyond one GPU and is split across multiple GPUs.

NVIDIA reports that the recipes, optimized for B200 GPUs, deliver up to 2x out-of-the-box performance. They are intended to help developers move the Korean open models into production and support broadly accessible AI for All services.

The workforce component adds NVIDIA training and certification programs, hackathons and technical seminars intended to strengthen GPU utilization. It extends the program beyond hardware and software into the operational skills needed to run GPU-based infrastructure.

Agent Security Joins the Collaboration

On agent security, NVIDIA announced that Hyundai Motor Group is exploring NemoClaw blueprints and the OpenShell runtime. Korean security company AIM Intelligence is integrating its Starfort agent-control platform with OpenShell for employee-productivity and enterprise-workflow agents.

OpenShell, part of the NVIDIA Open Agent Safety Platform, provides sandboxed execution and policy-based controls for sensitive data, enterprise-tool access and autonomous agent actions. The Starfort integration is intended to combine those runtime access controls with detection of malicious instructions and data leakage. AIM Intelligence is also considering a preliminary proof of concept for the public energy sector.

The practical implication is a split between software and hardware readiness: model-serving recipes are being released for Korean developers, while the mixed GPU-NPU racks still require processor integration and system development before SK Telecom’s planned deployment.