US Startup to Build South Korea’s Biggest AI Data Center
The planned data center would be part of the Asian tech powerhouse's sovereign AI campaign.
Reflection AI is partnering with Seoul-based conglomerate Shinsegae Group to build a huge new AI data center in South Korea.
The companies revealed their intentions in a media statement on March 16, in which they confirmed they had signed a memorandum of understanding for the project.
The partners did not release financial details of the deal, although the investment is likely to run to several billion dollars. They also did not disclose the location.
However, the companies said the data center will consume up to 250 megawatts -- roughly the same as a small city -- while local media in South Korea reported Shinsegae billed it as the “largest AI-dedicated data center built by a single company” in the country.
Each party will bring its own expertise to the project. Reflection, founded in 2024 by two former Google Deep Mind researchers and based in New York City, will provide the technical know-how, including Nvidia graphics processing units (GPUs), open weight foundation models and full-stack engineering. The AI chip giant was one of Reflection’s biggest backers when the startup raised $2 billion in October.
Related:OpenAI Now Valued at $852B After Funding Round
Shinsegae, meanwhile, will take responsibility for the infrastructure, including site selection, physical architecture, power, permitting and financing. Korean media say the conglomerate -- previously known for credit cards and department stores -- is also likely to use the data center as a springboard into more AI business ventures with the ultimate vision of positioning itself as "Korea’s Amazon"
The agreement is notable for a number of other reasons. It's a major step forward in the effort to provide South Korea with sovereign frontier AI capabilities built and operated in the country. This sovereign AI campaign was also recently boosted by Hyundai Motor Group’s commitment to spend $6.1 billion on an innovation hub for robotics and AI in the port city of Gunsan.
Also, by using Reflection’s open weight models -- with which users can download and run them locally without needing access to code or training data -- South Koreans will have visibility into the tech underpinning their critical systems. Reflection is said to be developing models customized for Korean language and culture.
“Every country is realizing that AI sovereignty is existential, which requires open models. We have a narrow window to ensure the foundation of intelligence remains open and accessible to all, rather than controlled by a few," Misha Laskin, CEO of Reflection, posted on X.
There is also a geopolitical aspect to the deal, with the agreement demonstrating the potential of President Donald Trump’s AI export program, in which the U.S. administration aims to strengthen relationships with allies by promoting the export of American AI tech packages.
Related:Microsoft Commits $1B to Thailand's AI future
The program is clearly designed to prevent Chinese dominance of the sector, and the media release for the Reflection-Shinsegae deal acknowledged: “The partnership reinforces a vital geostrategic alliance between the United States and a valued Indo-Pacific partner.”
About the Author
Contributing Writer
Graham Hope has worked in automotive journalism in the U.K. for 26 years, including spells as editor of leading consumer news website and weekly Auto Express and respected buying guide CarBuyer.
AI Business
https://aibusiness.com/generative-ai/us-startup-to-build-south-korea-s-biggest-ai-data-centerSign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
startupkorea
How We Built an EdTech Platform That Scaled to 250K Daily Users
<p>In 18 months, we took an EdTech platform from a founder's wireframe to 250,000 daily active users. The app handles 2,000+ concurrent video streams, processes 50,000 quiz submissions per hour, and runs on a $4,200/month infrastructure bill.</p> <p>Here's what we built, what broke, and what we'd do differently.</p> <h2> The Problem We Were Solving </h2> <p>The founder wanted CA exam preparation for 500K+ students. Existing platforms were either expensive (Unacademy at $200+/year) or had poor UX. The brief: live classes, recorded lectures, AI-powered quizzes, and doubt resolution — all at a $50/year price point.</p> <p>Budget: $40K for MVP. Timeline: 12 weeks.</p> <h2> The Architecture That Made It Work </h2> <p>We didn't overthink the stack. We picked proven tools and focused on shipping.

Legora just hit $100 million in revenue. It took 18 months.
Eighteen months ago, Legora was a Stockholm startup with a handful of law-firm clients and roughly $1 million in annual recurring revenue. On Tuesday, the company told Business Insider that it has crossed $100 million in ARR, a milestone that in enterprise software typically takes the better part of a decade. Max Junestrand, Legora’s 26-year-old […] This story continues at The Next Web

Anthropic Executive Blames Claude Code Leak on ‘Process Errors’
Anthropic PBC’s accidental release of source code for its popular AI coding agent was the result of “process errors” related to the startup’s fast product release cycle, according to a senior executive at the company.
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
WaterNSW Adopts Generative AI For Applications - Let's Data Science
<a href="https://news.google.com/rss/articles/CBMikgFBVV95cUxNVkdHejJmSW85UzVuSEJnRUpBbHpORklieU1QeGU2cS1qZjRhdGZKZG55VHRQN2p4Sk9QNk12LTE5aXpaaEFxc0Nvb0xpcjJkRXlFeDc4T3hLQkdBOEltNFUzeWRZWkVjZ2RxR0FlQS1qZWg4cFRRZmVhbXBPbXFIUHZ5bzVCSUFXMEVCclFjR2RSUQ?oc=5" target="_blank">WaterNSW Adopts Generative AI For Applications</a> <font color="#6f6f6f">Let's Data Science</font>
CSU survey: Most students, faculty regularly use AI tools - Action News Now
<a href="https://news.google.com/rss/articles/CBMi1gFBVV95cUxQdlViT09kNE5YNWw4bXlFOHdlMnRQNnB1aFVzVUM2bkxkSUdZeHZUMGRmR3B2OTdrMGVZYndobHFpRXVNbi05blh3Tmt2MFlobTBJTzNab0ZXUFNfQmRQVEs1WmZ6UUQtUTZmTGxYVGJlRmwyRVNUVE83X1JRWDJvRHY1TGE1NEpWU21hNUhUSlI4eTJXbzVNaS1xb2Y3bTJHWVRyRThMRGlwcS13bG1TSW5uZlEycUY2R3F0T3ZjTWZvOEpCSktLTVZMLUFpRFV6RGd0d2F3?oc=5" target="_blank">CSU survey: Most students, faculty regularly use AI tools</a> <font color="#6f6f6f">Action News Now</font>

🌪️ Proof of Work: The To-Do List of Infinite Regret
<p>**</p> <h2> What I Built </h2> <p>**<br> I built a productivity app for people who hate being productive. Proof of Work is a digital psychological experiment that turns simple task management into a high-stakes gamble.</p> <p>The gimmick? You cannot "check off" a task. To complete anything (e.g., "Buy Milk"), you must first win a game of Minesweeper on an Expert-level grid (30x16 with 99 mines). If you hit a mine, the Hydra Engine triggers: your task isn't cleared—it duplicates 20 times. Now you have to buy milk 21 times. It is a functional implementation of a "short-circuit" for the human brain.</p> <p>Demo<br> </p> <div class="crayons-card c-embed text-styles text-styles--secondary"> <div class="c-embed__content"> <div class="c-embed__body flex items-center justify-between"> <a href="


Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!