NVIDIA and South Korea’s Ministry of Science and ICT (MSIT) announced a significant expansion of their collaboration aimed at strengthening the nation’s sovereign AI capabilities. This partnership focuses on a holistic AI ecosystem encompassing semiconductors, data center infrastructure, workforce development, startups, AI models, and security.
Central to the initiative is enabling Korean companies specializing in Neural Processing Units (NPU) and heterogeneous processors (XPU) to engage with NVIDIA’s NVLink Fusion ecosystem. NVLink Fusion is a high-bandwidth interconnect technology that facilitates efficient data sharing between GPUs and CPUs, accelerating AI workloads across GPUs and various processors.
Alongside hardware integration, NVIDIA is providing comprehensive training and certification programs, technical seminars, and hackathons designed to enhance GPU utilization and cultivate AI expertise in Korea. These efforts aim to build a skilled workforce capable of supporting and innovating within the sovereign AI landscape.
In conjunction with the AI for All initiative, NVIDIA collaborates with three Korean consortia and four leading local foundation model developers. The partnership focuses on using NVIDIA’s Dynamo software to optimize and scale AI inference workloads. Dynamo helps streamline AI model deployment and execution, improving efficiency and scalability for Korean-developed models.
An additional collaboration involves SK Telecom and AI startup Rebellions, with MSIT support, to develop sovereign AI infrastructure tailored for Korean AI models and workloads. Leveraging the NVLink Fusion technology, this project aims to create a robust platform that supports secure, high-performance AI operations domestically.
This expanded collaboration represents an important stride toward South Korea’s goal of achieving AI sovereignty by fostering indigenous technology capabilities and reducing dependency on foreign AI infrastructure. It supports multiple facets including chip development, talent enhancement, and tailored AI solutions.
However, the initiative's success hinges on seamless integration between Korean NPUs, XPUs, and NVIDIA’s NVLink Fusion architecture as well as effective knowledge transfer through training programs. The scope and complexity of sovereign AI infrastructure pose ongoing challenges in scalability, security, and standardization across hardware and software components.
Source & further reading
From Chips to Skills, NVIDIA and Korea Expand Sovereign AI Collaboration ↗Source published 2026-11-09. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.