네이버, NVIDIA DSX로 기가와트급 AI 인프라 구축
무슨 발표인가
- NVIDIA DSX 플랫폼으로 AI 팩토리 구축
- Sejong GAK 55메가와트부터 기가와트급으로 확대
- 차세대 HyperCLOVA X·Seoul World Model 개발
55메가와트 초기 단계, 기가와트급 확대 계획
원문 (영어)
News Summary: NAVER, an AI Cloud, will build AI factories on the NVIDIA DSX platform at gigawatt scale, starting with AI infrastructure expansion at GAK Sejong. NVIDIA DSX gives NAVER a proven AI factory blueprint to serve Korea’s industries and global AI cloud customers as demand for useful AI surges at lowest token cost.
NAVER will use NVIDIA full-stack AI platforms, models and software to advance regional AI models including next-generation HyperCLOVA X models, its Seoul World Model development and agentic AI services. NVIDIA and NAVER today announced that NAVER will expand sovereign AI infrastructure, starting at 55 megawatts with plans to move to gigawatt scale using the NVIDIA DSX platform to rapidly design, build and scale full-stack, end-to-end AI platforms that can serve enterprises, industries and government.
“Useful AI has arrived, and demand for AI factories is extraordinary,” said Jensen Huang, founder and CEO of NVIDIA. “NAVER is building AI factory infrastructure that will serve its companies, developers and industries. With NVIDIA DSX, we can help Korea scale sovereign intelligence infrastructure for the agentic era — from AI agents to AI factories and physical AI.”
“NAVER is building sovereign AI infrastructure that can serve Korea’s industries and global customers with trusted, high-performance AI,” said Haejin Lee, founder and chairman of NAVER. “By building on the NVIDIA DSX platform, we can help customers move from AI experimentation to production-scale AI factories that power models, agents and real-world services.”
As useful AI increasingly moves to production, AI factories are becoming critical infrastructure for training, post-training and inference.
원문: NVIDIA News — "NAVER Expands AI Infrastructure With NVIDIA to Serve Surging Global AI Demand" (2026-06-08) 공식 원문: https://nvidianews.nvidia.com/news/naver-ai-infrastructure