Samsung SDS has introduced the latest GPUs for national AI research, providing domestic researchers with a foundation to utilize world-class computing environments.
On August 10, Samsung SDS announced that it was selected as the GPU resource supplier for the '2026 AI Research Computing Support Project,' supported by the Ministry of Science and ICT and the Institute for Information and Communications Technology Planning and Evaluation (IITP). The service commenced on July 20.
This initiative aims to support AI research by providing GPU resources to researchers in academia and research institutions across the country.
The project focuses on supplying computing resources to research entities that struggle to secure large-scale computing infrastructure, enabling them to conduct research on ultra-large AI models and large language models (LLMs).
The project has a budget of approximately 15.3 billion won and will provide services until March 2027. The evaluation for selecting the supplier included key criteria such as GPU supply plans, resource availability, research environment quality, operational support systems, and security capabilities. According to the company, multiple suppliers were selected, with Samsung SDS ranked first.
Samsung SDS will provide not only NVIDIA H100 (Hopper) GPUs but also the latest B300 (Blackwell Ultra) based GPU cluster. The B300 exceeds the specifications required in the request for proposal (RFP) for Hopper-level GPUs, offering significantly improved performance and large memory capacity for training and inference of large parameter models compared to previous generations.
The domestic research community has raised concerns about the urgent need to bridge the gap between available resources and global infrastructure levels due to competition for the latest GPUs. In response, Samsung SDS has directly invested the latest GPUs into the national AI research GPU computing project, establishing a foundation for domestic researchers to conduct their work in a world-class computing environment.
Samsung SDS also provides a large-scale clustering configuration that pools multiple GPUs into a single resource pool, along with a high-speed interconnect network.
This setup allows researchers to flexibly respond to both long-term large projects and short-term experimental tasks. Furthermore, it goes beyond simple GPU supply by pre-configuring and providing CPU, memory, storage, network, and development environments. This support enables researchers to focus on their work without the burden of infrastructure setup.
Additionally, Samsung SDS launched NVIDIA's B300 GPU-based GPU as a Service (GPUaaS) through its Samsung Cloud Platform (SCP) in March, becoming the first in the country to do so. In July, it integrated the second-generation NPU, Renegade (RNGD), based on the domestically produced neural processing unit (NPU) called FuriosaAI, into SCP, launching NPU as a Service (NPUaaS).
Lee Ho-jun, Vice President and Head of Samsung SDS Cloud Services Division, stated, "Through this project, we will provide stable services so that domestic researchers can achieve innovative results based on world-class AI infrastructure. We will continue to contribute to expanding the national AI research infrastructure and enhancing South Korea's AI competitiveness."
Samsung SDS has been accumulating capabilities in operating high-performance AI infrastructure, having successively introduced GPUaaS based on NVIDIA A100 in 2021 and H100 in 2023. The company has also participated as a cloud service provider in the high-performance computing support project led by the Ministry of Science and ICT, supplying GPU resources to over 60 AI small and medium-sized enterprises, startups, research institutions, and universities.
* This article has been translated by AI.
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