Naver Cloud and Nvidia Build Global AI Factory
Naver Cloud said it will partner with Nvidia to build a global "AI factory," Naver Cloud CEO Kim Yu-won said at the Nvidia Cloud Partner Summit in Taipei, according to Yonhap. Yonhap reported Kim describing Naver Cloud as holding "full-stack" capabilities across AI infrastructure and services. Asiae, BusinessKorea, and UPI report that Nvidia CEO Jensen Huang named Naver Cloud a core partner at GTC Taipei 2026, displaying a "Nvidia loves Naver Cloud" message onstage, and that the collaboration spans infrastructure, models, and "physical AI." Naver Cloud will use Nvidia's Nemotron 3 Ultra to advance HyperCLOVA X and has used Nvidia's Cosmos platform to build its Seoul World Model, per Asiae and BusinessKorea. Observers should read this as a significant infrastructure and sovereign-AI alliance targeting hyperscale demand in Asia.
What happened
Naver Cloud said it will partner with Nvidia to develop a global "AI factory," Naver Cloud CEO Kim Yu-won said at the Nvidia Cloud Partner Summit in Taipei, according to Yonhap. According to Asiae, BusinessKorea, and UPI, Nvidia CEO Jensen Huang named Naver Cloud a core partner in the global AI ecosystem at GTC Taipei 2026 and displayed a "Nvidia loves Naver Cloud" message onstage. Asiae and BusinessKorea report the collaboration covers infrastructure, models, and "physical AI," and that Naver Cloud plans to leverage Nvidia's open large language model Nemotron 3 Ultra to advance its HyperCLOVA X offering. Yonhap and BusinessKorea report the companies intend joint research on hyperscale LLM optimization and sovereign AI tailored to different countries.
Technical details
According to Asiae, Naver Cloud has used Nvidia's Cosmos physical-AI platform since March to develop its Seoul World Model. BusinessKorea reports the Seoul World Model was trained on 1,200,000 panoramic images to replicate Korea's road environments and spatial structures. Asiae and BusinessKorea say the partnership will include joint work on model optimization and core technologies for hyperscale language models.
Editorial analysis - technical context
Industry pattern: alliances that combine a regional cloud provider's local datasets and operations with Nvidia's stack typically pursue three advantages: lower inference latency through regional infrastructure, model optimization for local languages and environments, and integration of simulation or "physical AI" platforms for real-world testing. For practitioners, work on Nemotron 3 Ultra integration and joint LLM optimization could surface guidance on large-model parallelism, quantization tradeoffs, and simulation-to-reality transfer, though no specific engineering results appear in the cited coverage.
