GPU infrastructure
We are reviewing plans for GPU servers, high-performance storage and networks designed for AI training and inference.
AI DATA CENTER
Expanding into the foundation for operating AI
We are pursuing an AIDC business that designs GPU infrastructure and AI service operations together. By connecting our data and AI platform capabilities with infrastructure, we aim to strengthen the foundation for our AI Full Stack business.
Construction participation and operational planning stageContact us about business
01
Considering infrastructure and service operations together
We are pursuing participation in the Jeonnam–Gwangju Kakao consortium and data center operations. Scale and operating schedules remain in planning and may change with implementation conditions.
AI cloud and platforms
We are pursuing a service model that connects AI cloud services, hosting and operations for enterprise-specific platforms.
A foundation for reliable operations
We design an operating framework that considers security, availability, facility operations and energy efficiency together.
02
Five priorities for AIDC preparation
Business, technology, procurement and operations need to be prepared together. The priorities below explain the business direction presented on this website; they do not represent completed achievements.
- 01
Business strategy and implementation plan
Define customer demand, service scope, investment and partnership structures, and the conditions for each implementation stage.
- 02
Hardware and software operating architecture
Design an integrated operating architecture for GPUs, storage, networks, cloud services and AI platforms.
- 03
Equipment procurement and supply chain
Prepare purchasing criteria for critical equipment, supply partnerships and maintenance arrangements.
- 04
Operational data and ontology
Review operational data models that connect equipment, services, incidents and operating rules, along with the application of supporting solutions.
- 05
Services and customer proposals
Develop customer-specific service scenarios, presentation materials and verifiable business information.
03
Connecting the data foundation to AI service operations
We aim to create business synergies by connecting existing data customers' AI transformation needs, the application of HYPERGLORY and FDE to business workflows, and GPU-based operating environments.
| Integration targets | Expansion direction | Validation priorities |
|---|---|---|
| Experience serving data and AI customers | Addressing enterprise demand for AI infrastructure and platforms | Confirmed customer demand and service scope |
| HYPERGLORY·FDE | Connecting operating environments for business AI | Security, availability and performance requirements |
| GPU and cloud infrastructure | Construction, operations and long-term service models | Investment conditions, launch plans and operating framework |
04
컴퓨팅 기반 위에 AI 서비스를 쌓습니다
데이터센터는 시설만의 사업이 아닙니다. GPU 기반 컴퓨팅에서 플랫폼 운영, 고객의 AI 활용까지 연결하는 방향입니다.
- 01
AI infrastructure
GPU 기반 고성능 컴퓨팅, 스토리지와 네트워크를 연결합니다.
- 02
AI 플랫폼과 Agent 운영
AI 플랫폼·에이전트 서비스가 실행되는 환경과 운영 체계를 준비합니다.
- 03
기업용 AI 서비스
기업 고객의 업무와 보안 요구에 맞춘 서비스·호스팅·운영을 연계합니다.
Explore the next possibilities of data with us.
Please review both the application scope and implementation stage.