SK Group and AWS Build South Korea’s Largest $5.13 billion AI Data Center

SK Group and AWS are partnering to build South Korea’s largest AI data center in Ulsan with a $5.13 billion investment. The facility will launch with 60,000 GPUs and 103 MW capacity, expanding to 1 GW, creating up to 78,000 jobs. This milestone boosts South Korea’s AI leadership, data sovereignty, and positions Ulsan as a major AI hub in Asia.
SK Group and AWS Build South Korea’s Largest $5.13 billion AI Data Center
Image Credit: SK Group and AWS

South Korea is set to become a major AI powerhouse as SK Group and AWS join forces to build the country’s largest AI data center. The massive facility, slated for Ulsan, marks the biggest corporate investment since President Lee Jae Myung took office and reflects South Korea’s ambition to lead in the global AI race.

A Strategic Partnership for AI Leadership


The collaboration brings together SK Group’s deep expertise in semiconductors, telecommunications, and energy with AWS’s robust AI and cloud infrastructure services. This synergy aims to create an advanced AI ecosystem capable of supporting the explosive demand for generative AI and related technologies.

Under the agreement, the total investment for the data center will reach 7 trillion won, roughly $5.13 billion. AWS will contribute $4 billion, while SK Group covers the remainder. This initiative is a cornerstone of SK Telecom’s “AI Infrastructure Superhighway” strategy, designed to lay the groundwork for hyperscale AI capabilities in South Korea.

Key Specifications of the Ulsan AI Data Center

  • Location: Ulsan’s Mipo National Industrial Complex was selected for its robust energy network and supportive industrial environment. The site benefits from proximity to an SK Gas LNG power plant, ensuring a steady power supply essential for AI workloads.
  • Capacity: The facility will launch with an initial power capacity of 103 megawatts (MW), scalable to an impressive 1 gigawatt (GW).
  • GPU Power: It will house an initial fleet of 60,000 GPUs, marking the largest GPU deployment in a Korean data center to date.
  • Timeline: Construction is scheduled to start in August 2025. The first phase should be ready by November 2027, with the full capacity operational by February 2029.
  • Job Creation: The project is expected to create up to 78,000 direct and indirect jobs as operations expand, providing a significant economic boost to the region.
  • Boosting South Korea’s Data Sovereignty

One of the key benefits of this project is enhancing South Korea’s data sovereignty. By processing AI workloads domestically, sensitive data remains within national borders, improving security and compliance with local regulations. This strengthens South Korea’s competitiveness in global AI development and protects valuable intellectual property.

Prasad Kalyanaraman, AWS Vice President of Infrastructure Services, highlighted this advantage: “When SK Group’s technical strengths combine with AWS’s comprehensive AI cloud services, we empower businesses across Korea to build secure AI technologies. This partnership reflects our commitment to Korea’s AI future.”

Creating an AI Hub for Asia

The Ulsan facility will not only serve local businesses but also attract international companies looking for advanced AI infrastructure in Asia. By combining state-of-the-art compute, storage, database, and edge computing capabilities, the data center is positioned to handle complex AI models, including generative AI, large language models (LLMs), and real-time analytics.

The initiative also aligns with AWS’s broader commitment to South Korea, adding to its long-term $5.88 billion planned investment in the country through 2027.

AI Infrastructure Superhighway: A Vision for the Future

SK Telecom’s AI Infrastructure Superhighway strategy aims to provide high-performance AI resources that meet the growing demand for next-generation digital services. This includes support for emerging applications in IoT, smart manufacturing, autonomous vehicles, and immersive technologies like AR and the Metaverse.

By establishing hyperscale data centers and high-speed network connections nationwide, SK Group intends to build an integrated infrastructure backbone to accelerate digital transformation for Korean industries.

Government Support and National Ambitions

The South Korean government has pledged full support for the project, recognizing AI as a key growth engine. President Lee Jae Myung attended the signing ceremony and emphasized that the administration will actively foster AI adoption to ensure sustained economic growth.

“The new government will make every effort to actively support Korea in adopting AI as a new national growth engine so that the country can once again leap forward as a dynamic, growing nation,” President Lee stated.

A Milestone for South Korea’s AI Ecosystem

The SK Group and AWS partnership is a clear signal of South Korea’s commitment to invest in the critical infrastructure needed to remain competitive in the global AI market. By building the nation’s largest AI data center, the country is laying the groundwork for a future where AI-powered innovation drives new industries, creates high-quality jobs, and secures its place as a technological leader in Asia and beyond.

For businesses and tech leaders, this new AI hub in Ulsan represents an opportunity to harness cutting-edge cloud and AI capabilities without leaving the country’s borders. As construction progresses, South Korea’s AI Infrastructure Superhighway promises to deliver tangible benefits for years to come.

Stay tuned for updates as SK Group and AWS break ground on this transformative project in August 2025, setting South Korea on the fast lane of the global AI highway.


Recent Content

Huawei presents its AI-centric F5.5G network and “FOUR NEW” strategy, aiming to transform telecom networks through AI and fiber optics. Key initiatives include advanced broadband monetization, autonomous network operations, and AI-driven home ecosystems, creating new revenue channels and supporting digital intelligence services in the telecom industry.
GitHub Copilot for Azure, now available in Visual Studio Code, empowers developers with an AI-driven assistant to streamline Azure management, deployment, and resource control directly from their coding environment. This tool minimizes time lost to context-switching by integrating Azure documentation, deployment assistance, and troubleshooting features within VS Code, making cloud development more efficient. Ideal for both seasoned Azure users and newcomers, Copilot for Azure transforms Azure workflows by simplifying complex tasks like provisioning, debugging, and managing resources.
Campus, a two-year college, has introduced an Applied AI concentration within its Associate of Arts in Business Administration, incorporating OpenAI’s ChatGPT Edu tools. The program offers hands-on experience with real-world AI applications, preparing students for high-demand roles in industries increasingly shaped by AI technology. Enrollment begins January 2025.
A study from Cambridge University and the Chinese Academy of Sciences warns that by 2030, generative AI could produce e-waste on an unprecedented scale, with projected volumes reaching millions of tons annually. As AI hardware life cycles shorten to meet the demand for computational power, researchers emphasize the urgent need for sustainable practices. Proposed solutions like hardware reuse, efficient component updates, and a circular economy approach could significantly mitigate AI’s environmental impact, potentially reducing e-waste by up to 86%.
In a global first, Telstra and Ericsson trialed the AI-powered EACC rApp on Telstra’s live network via the Ericsson Intelligent Automation Platform (EIAP). This AI-driven solution enhances network automation by ensuring configuration consistency in real time, helping Telstra advance toward fully autonomous networks. With AI capabilities for self-optimization and self-correction, the EACC rApp improves network efficiency and reliability, offering valuable insights into the potential of AI in telecom to elevate performance and customer experience.
GO, Malta’s leading provider of quad-play services, has enhanced its partnership with Elisa Polystar by integrating the KALIX Network Analytics portal. This addition enables GO to leverage AI-driven insights for real-time network monitoring and improved customer experience. The platform democratizes access to data, allowing various teams within GO to use insights for faster issue resolution and better decision-making. This expansion supports GO’s broader digital transformation strategy, including investments in 5G and advanced network services.

Currently, no free downloads are available for related categories. Search similar content to download:

  • Reset

It seems we can't find what you're looking for.

Download Magazine

With Subscription

Subscribe To Our Newsletter

Scroll to Top

Private Network Readiness Assessment

Run your readiness check now — for enterprises, operators, OEMs & SIs planning and delivering Private 5G solutions with confidence.