How are the Science Ministry and Nvidia Collaborating to Establish a Research Center in South Korea?
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Synopsis
In a significant collaboration, South Korea's science ministry and Nvidia Corp. are moving forward to establish a state-of-the-art research center in the country. This partnership aims to boost artificial intelligence development and startup growth, marking a pivotal moment for South Korea's tech landscape.
Key Takeaways
- Collaboration with Nvidia aims to establish a research center in South Korea.
- The center will promote AI development and support startups.
- Naver has launched the largest AI computing cluster in the nation.
- The infrastructure will enhance national competitiveness in AI technologies.
- Expect accelerated AI model development by 12 times.
Seoul, Jan 11 (NationPress) The science ministry of South Korea announced on Sunday that it has engaged in discussions with Nvidia Corp. regarding the rapid establishment of a research facility in the nation.
On Friday (U.S. time), Second Vice Science Minister Ryu Je-myung held a meeting with Jay Puri, who is the executive vice president at Nvidia, in California, as reported by the Ministry of Science and ICT and conveyed by the Yonhap news agency.
Both Ryu and Puri reached a mutual understanding on the urgency of setting up Nvidia's research and development center in South Korea and explored strategies for collaboratively promoting artificial intelligence startups, as stated by the ministry.
In related news, South Korean technology leader Naver revealed the creation of the country’s largest artificial intelligence (AI) computing cluster, which is powered by the next-generation Nvidia B200 Blackwell graphics processing units (GPUs).
The B200 4K Cluster offers Naver global computing capabilities and will aid in the development of its proprietary foundation models and the widespread use of AI technologies, according to a press release from the company.
CEO Choi Soo-yeon remarked, "This AI infrastructure represents a significant advancement in enhancing national AI competitiveness and self-sufficiency."
She further explained, "Naver intends to utilize this infrastructure for rapid training and iterative experimentation, allowing for a more adaptable application of AI technologies across services and industrial environments, thereby generating substantial value."
The cluster is engineered for extensive parallel processing and high-speed communications, achieving performance levels comparable to the world’s top 500 supercomputers, as noted in the release.
Naver anticipates that this infrastructure will accelerate AI model development by approximately 12 times and has plans to expand training for omni models that can handle text, images, video, and audio simultaneously, as reported.
Point of View
This collaboration between the science ministry and Nvidia is a strategic move that underscores South Korea's commitment to advancing its technological capabilities. By fostering innovation in AI, the country aims to enhance its global competitiveness, ensuring that it remains at the forefront of technological advancements.
NationPress
22/01/2026
Frequently Asked Questions
What is the purpose of the new research center in South Korea?
The research center aims to enhance artificial intelligence development and support the growth of AI startups in South Korea.
Who is involved in the discussions about the research center?
The discussions involve the South Korean science ministry and Nvidia Corp., specifically Second Vice Science Minister Ryu Je-myung and Nvidia's executive vice president Jay Puri.
What technology is powering Naver's AI computing cluster?
Naver's AI computing cluster is powered by Nvidia's next-generation B200 Blackwell graphics processing units (GPUs).
What impact will the AI infrastructure have?
The AI infrastructure will enhance national competitiveness in AI and allow for rapid model development, significantly increasing efficiency in processing various data types.
How does Naver's cluster compare to other supercomputers?
The cluster offers performance that is comparable to the world's top 500 supercomputers, making it a powerful tool for AI research.
