MOU to Address Infrastructure Challenges
GoodVision AI and ATTO Research announced a memorandum of understanding on April 16, 2026, to develop AI data centres across South Korea with a minimum investment of USD 50 million. The new AI data centres will be strategically located near Seoul, Busan, and Daegu. Initially, the project will build a capacity of 0.75 MW, targeting an expansion to 5.5 MW by 2027. The goal is to achieve a combined capacity of 40 MW across multiple sites.
Solving one of South Korea’s pressing AI infrastructure challenges is the main objective of this collaboration. Traditional data centres require years to build, whereas GPU servers can be procured in months. This timing gap has caused delays and cancellations in AI workload deployments.
GoodVision AI and ATTO Research plan to provide enterprises with timely and needed capacity by delivering modular AI data centres that align with GPU procurement cycles. With this strategic move, the companies aim to meet the growing demand for AI infrastructure in South Korea.
ATTO Research will contribute site and power infrastructure resources, leveraging its expertise in power sourcing and network integration. Meanwhile, GoodVision AI will bring its AI inference computing expertise and AI Factory deployment capabilities to the table.
Davy Wang, CEO of GoodVision AI, emphasised, “South Korea is one of the most dynamic AI markets in Asia, and demand for purpose-built compute capacity is outpacing what traditional data centre development can deliver. This partnership gives GoodVision AI the right foundation to build at scale in Korea.”
Dr. Jae Woong Chung, CEO of ATTO Research, Professor at KAIST, and Head of the Task Force at the Presidential Council on National Artificial Intelligence Strategy, stated, “Korea’s enterprises are ready to deploy AI at scale, but the infrastructure is not keeping pace. New data centre space takes years. GPU servers arrive in months. Partnering with GoodVision AI gives us the AI inference expertise and deployment capability to close that gap faster and at greater scale.”
Last updated: 15 June 2026, 5:16 pm
