AI Insights
How Korea is adapting its Data Center infrastructure for Artificial Intelligence

South Korea continues to solidify its position as a regional leader in digital infrastructure, technological innovation and development with an advanced digital economy ideal for strategic investments in 5G, AI, and cloud computing, the country is fast becoming a prime location for data center expansion in Asia.
As the demand for digital services surges, managing infrastructure growth becomes increasingly complex. These advancements are supported by government investments dedicated to design AI specific infrastructures to reduce latency and balance regional capabilities.
Upgrading DCIM: Redefining technology inside the data center for the AI era
Data Center Infrastructure Management (DCIM) is a software management system designed to monitor, measure, and manage data center infrastructure by providing a digitalized view of IT assets, power usage, cooling efficiency, and physical space. Its main objective ensures maximum uptime, energy efficiency, and capacity planning to minimize operational costs.
With the advent of Artificial Intelligence (AI), there is a need to update or upgrade DCIM as well to ensure that data centers continue to operate, scale, and optimize facility management fully in future. AI based data center management tools enhance facility operations by providing numerous services that leverage AI/ML and big data. These include data & view consolidation, energy management, data hall monitoring, asset management, maintenance management, and standard operating procedures (SOP). Business support is crucial for maintaining company integrity and growth, especially in colocation management, which involves capacity planning for tenant services that match reports and KPI management.
South Korea has committed to net-zero emissions by 2050. This has put pressure on the tech sector to reduce carbon emissions. DCIM with AI enables intelligent energy usage for dynamically adjusting cooling systems or leveraging renewable energy forecasts to shift workloads. With the rise of edge computing, IoT, and smart cities (Songdo), the data footprint in South Korea is growing rapidly. AI-enhanced DCIM helps operators manage dense environments without sacrificing performance or reliability. Local regulations, such as the Personal Information Protection Act (PIPA), demand elevated levels of data security and availability. AI and DCIM support compliance by improving system monitoring, incident response, and audit readiness.
In a recent report titled Data Centre Operation Efficiency, Leveraging AI and Robots BMS and Control systems, Onion Software said, “Finding optimal operation set points of cooling systems and finding anomaly status based on historical data can save 10% of cooling system energy with AI operation.” The report further found, “70~80% of AI Efforts originate from data preparation…with most of the High-Level Points not collected by existing BMS.”
South Korean data centers are deployed in, and serve high-density, high-demand urban regions in Seoul, Busan, and Daejeon. DCIM software functions in both colocation and hyperscale facilities; multiple colocation providers such as Equinix and Digital Realty are designing and integrating DCIM for facility management.
AI in data center operations
By integrating machine learning and AI predictive analytics into DCIM platforms, operators can move from reactive to proactive autonomous data center operations.
AI’s abilities include:
- Predict equipment failure before it occurs using sensor data.
- Optimize cooling based on real-time heat maps and weather conditions.
- Balance workloads across servers to reduce latency and power spikes.
- Automate capacity planning by forecasting future resource needs.
South Korean companies including KT, SK Broadband, and LG CNS are integrating AI into their DCIM workflows and leading initiatives to deploy AI-driven smart data centers which self-optimize and self-analyse.
Global partnerships
SK Group, South Korea’s second-largest conglomerate has established a partnership with Amazon Web Services (AWS) to expand cloud infrastructure in South Korea. The partnership between SK Group and AWS was officially launched in June, 2025. Both companies recently broke ground for an AI-dedicated data center in Ulsan. The data center in Ulsan is scheduled to begin operations by 2027 and is expected to generate up to 78,000 direct and indirect jobs over time as the data center scales and operations expand.
SK Group will lead the construction of the data center, while AWS will establish the AI Zone in Ulsan, which will deliver a broad selection of AWS’s leading AI and cloud capabilities to customers in South Korea.
The AI Zone in Ulsan will combine industry-leading capabilities from SK Group and AWS through a 15-year partnership to provide top-tier network operations, a semiconductor supply chain, and efficient power infrastructure. This partnership is in addition to AWS’s long-term US $ 5.88 billion planned investment in Korea by 2027.
Meanwhile, SK Telecom launched its new GPUaaS (Graphic Processing Unit as a Service) at its Gasan, AI Data Center (AIDC) Seoul, South Korea in January 2025,. The company has been preparing to launch this on-demand AI cloud service as part of its dedicated AIDC business by investing in Lambda, a global GPU cloud company, to secure stable GPU supplies and expertise. The ‘AI Cloud Manager’ launched last October, manages numerous GPU resources as if they were a single computer to maximize GPU performance and support reducing the learning time required for AI development.
Building the world’s largest AI data center
Readers would recall that earlier this year, the Government of Jeollanam-do Province approved a 3GW mega AI data centre. The project, a collaboration between LG scion Brian Koo, Dr. Amin Badr-El-Din, and Stock Farm Road, in partnership with Jeollanam-do province. The data centre will be constructed in phases, with an initial investment of over US$ 10 billion (15 trillion KRW) and the potential scale of US$ 35 billion (50 trillion KRW).
Construction is scheduled for completion by 2028. Upon completion the facility will be the largest AI data centre by capacity, featuring advanced cooling and energy efficiency systems, extensive regional and international fibre bandwidth and infrastructure designed to support significant variations in energy demand from investments in semiconductors, artificial intelligence, next-generation networks, big data, and quantum computing.
The project is anticipated to generate substantial economic benefits, including job creation across multiple sectors such as energy supply and storage (ESS), renewable energy production, equipment manufacturing and research and development (R&D)
Colocation and Internet Business Exchange establishments in Seoul
Digital Realty the largest global provider of cloud- and carrier-neutral data center, colocation and interconnection solutions in 2022 completed construction of its Digital Seoul 1 (ICN10) data center in South Korea making it the first carrier-neutral facility in the country which will serve as a gateway to global expansion for enterprises in Korea to scale their digital business into new markets globally. The facility is designed to handle Artificial Intelligence (AI) and Machine Learning (ML) workloads from NVIDIA, serving as a key launch pad to help enterprises accelerate their AI and analytics capabilities.
“South Korea is a leading technology and digital hub in Asia Pacific and is set to be one of the fastest growing data center markets in the region. It was the first country to roll out 5G in April 2019 alongside its Smart Cities initiatives, which has led to a rise of data center deployments in South Korea. The opening of our first data center in South Korea today is set to meet the growing demand from enterprises looking to scale their digital footprint across APAC and beyond, as well as deliver greater connectivity, coverage and capacity,” says Mark Smith, Managing Director of APAC, Digital Realty.
Seoul is one of the densest AI scaleup ecosystems in the world, contributing to advancements in AI deep technologies through enhanced digital capability and ecosystems to help enterprises embrace Private AI.
To address this AI growth Equinix, completed its second International Business Exchange (IBX) data center in Seoul, named SL4 in Q1 2024. The new data center provides local and international businesses in Korea with the digital capabilities required to accelerate AI adoption.
Since the Equinix SL4 launch, enterprises in Korea have had access to a rich ecosystem of companies, cloud adjacency, global interconnected data ingestion locations, and strategic partnerships with market-leading AI infrastructure providers through Platform Equinix and its on-demand digital services.
Chris Jang, Managing Director, Equinix Korea, said, “As AI technology continues to advance at a remarkable pace, it has become increasingly important for businesses to transform their IT infrastructure. At Equinix, we are committed to supporting our customers in Korea by providing them with interconnected digital ecosystems and robust digital infrastructure. By expanding our digital platform with SL4, businesses can efficiently connect with tech partners in ecosystems and advanced AI infrastructure.”
Government initiatives
In 2019 South Korea launched its National Strategy for Artificial Intelligence to accelerate strategies to become a global leader in artificial intelligence development and deployment.
Earlier this year, the administration under South Korea’s President Lee Jae-myung reiterated the government’s commitment to the country’s bold ambitions when it comes to Artificial Intelligence (AI). The president not only proposed an investment of KRW 100 trillion (US$ 735 billion) into developing a sovereign AI trained on Korean cultural and historical data, also named Ha Jung-woo its first ever Chief Secretary for AI Policy.
Meanwhile, the Ministry of Science and ICT (MSIT) has selected R&D institutions to commence the first-year projects under K-Cloud Technology Development Project in 2023 to utilize domestic AI semiconductors. This role was appointed to the Hyper Accel–Rebellions consortium that composes Korea’s leading companies specializing in semiconductor design. The consortium will lead server development by integrating technologies in infrastructure and hardware domains to incorporate results from computing software and cloud domains to validate the project’s final output. The project was approved by the 5th Comprehensive Committee for National R&D Projects Evaluation in 2024. It will be implemented over six years (2025–2030) with a total budget of KRW 403.1 billion, including KRW 342.6 billion in government funding.
Conclusion
South Korea continues to accelerate its digital ambitions from AI and cloud services to semiconductor leadership. The role of intelligent infrastructure will increase AI-as-a-Service for DCIM, allowing smaller operators to access advanced analytics. 5G and edge integration, with micro data centers managed autonomously at the edge. Integrate sustainability dashboards powered by real-time AI to meet ESG goals and investor ROI. DCIM and AI are operational necessities in South Korea’s data center landscape. The country continues its ascent as a digital powerhouse, these technologies will be central to building the next generation of AI data centers.
Korea Cloud & Datacenter Convention starts on 19 September 2025 at COEX Convention & Exhibition center, Seoul, South Korea. This event explores the latest trends and developments in the South Korean data center sector and the Northeast Asia region as experts, thought leaders and key stakeholders congregate to discuss the challenges and new opportunities that are shaping future digital ecosystems.
AI Insights
U.S. Navy Begins Search for Machine Learning Combat Assistants on Submarines

A U.S. Navy Request For Information (RFI) has outlined the future of subsurface naval combat capability within the AN/BYG-1 combat system, the U.S. Navy’s undersea warfare combat system used on all American in-service submarines, as well as submarines operated by the Royal Australian Navy.
The RFI lays out three core capability updates; a tactical control re-architecture and integration plan, a payload re-architecture and integration plan, and the development and integration of a new Artificial Intelligence, Machine Learning (AI/ML) Tactical Decision Aid (TDA).
The notice was posted by the PEO UWS Submarine Combat and Weapons Control Program Office (PMS 425). According to PMS 425, various requirements are being laid out to support a new method of integrating submarine warfare systems and weapons in a more streamlined manner.
“PMS 425 seeks to identify possible sources interested in fulfilling the requirements to establish a new AN/BYG-1 capability delivery framework for the development and deployment of AN/BYG-1 applications. This requirement is for the development, testing, and integration of current, future, and legacy AN/BYG-1 applications as part of a new framework to deliver streamlined capabilities.”
U.S. Navy
The new capabilities delivered by a selected contractor will be fielded by the U.S. Navy, the Royal Australian Navy, and, according to PEO UWS, potentially the Australia/UK/US (AUKUS) Joint Program Office submarine as well.
The RFI lists a large number of requirements for AN/BYG-1 modifications, which include containerization of AN/BYG-1 capabilities, integration of new strike components, addition of tactical decision aids that leverage artificial intelligence and machine learning, integration of third party capabilities with AN/BYG-1, delivery of incremental AN/BYG-1 application software builds every thirteen weeks, and continued integration efforts for the Compact Rapid Attack Weapon (CRAW), unmanned underwater vehicles (UUV), heavyweight torpedoes (HWT), unmanned aerial systems (UAS), and undersea countermeasures.
The notional award date for a contract to deliver these capabilities is set sometime in July 2027 with one base year and four option years. The U.S. Navy expects delivery of systems to be in ready-to-run fashion as a certified, fully-tested, production-ready hardware and software suite by delivery.
The AN/BYG-1 is expected to take a much heavier role in defensive and offensive management with the addition of Mk 58 CRAW torpedoes, added to U.S. Navy attack submarines. CRAW is a capability developed by university and industry teams that aims to dramatically increase the number of packed torpedoes in each tube, according to the U.S. Navy. The Office of Naval Research developed the multi-packing technology as part of Project Revolver, a new launch capability for Virginia-class submarine torpedo tubes. CRAW will also add a defensive anti-torpedo capability to attack submarines when fielded in its Increment 2 variant.

The future AN/BYG-1 combat system will manage all aspects of offensive and defensive engagements with CRAW, as well as other UUV delivery methods like those currently being sought by the Defense Innovation Unit which seek to deliver 12.75″ UUVs for one-way attack missions, extending the reach of CRAW or other novel weapons.
“The new [AN/BYG-1] framework will include applications to support the processing of information from onboard sensors, integration of off-hull information into the tactical picture, and employment weapons for contact and decision management, mission planning, training, payload command and control, and other capabilities related to both current and future tactical, payload, and combat control applications.”
PEO UWS
AI Insights
1 Incredibly Cheap Artificial Intelligence (AI) Stock to Buy Before It Soars at Least 24%, According to Wall Street

Key Points
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Dell stock has trailed the market so far in 2025, but its poor performance doesn’t seem justified.
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Growth has been accelerating, helped by the company’s healthy share of the AI server market.
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The stock’s valuation is too cheap to ignore right now, and buying it could turn out to be a smart move.
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10 stocks we like better than Dell Technologies ›
The healthy spending on artificial intelligence (AI) infrastructure and devices has been a tailwind for Dell Technologies (NYSE: DELL) in recent quarters, but shares of the company have struggled to gain any momentum on the market despite an improving growth profile.
Specifically, Dell stock has gained just 5% in 2025 as of this writing. That’s half of the returns clocked by the tech-laden Nasdaq Composite index this year. The stock received another shock recently as it dropped lower following the release of its fiscal 2026 second-quarter results (for the three months ended Aug. 1) on Aug. 28, losing nearly 9% of its value the following day.
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However, a closer look will tell us that Dell’s recent drop isn’t justified. Let’s look at the reasons why.
Image source: Getty Images.
Dell’s results were better than expected, and it also raised its guidance
Dell reported record revenue of $29.8 billion last quarter, an increase of 19% from the year-ago period. Meanwhile, its non-GAAP earnings rose identically to $2.32 per share. The numbers were ahead of consensus expectations, but its earnings guidance for the current quarter was lower than expected.
The company is expecting $2.45 per share in earnings in the current quarter, which is $0.10 lower than consensus expectations. Dell’s margins have taken a hit in recent quarters as the company has been ramping up the output of its artificial intelligence (AI) servers to meet the robust end-market demand. However, the good part is that the company is expecting its margins to improve as its AI server business scales up.
That’s the reason why Dell now expects its adjusted earnings to jump by 17% in fiscal 2026 to $9.55 per share, up from the earlier expectation of 15% growth. What’s more, the company has increased its revenue guidance by four percentage points to 12% to a midpoint of $107 billion. Investors, therefore, would do well to take a look at the bigger picture as the company is clearly benefiting from the rapidly growing demand for AI servers.
Dell points out that it shipped a record $8.2 billion worth of AI servers in the previous quarter. The company’s AI server revenue of $10 billion for the first half of fiscal 2026 has already exceeded the revenue it generated from this segment last year. Importantly, the demand for Dell’s AI servers remains solid as the company received fresh orders worth $5.6 billion last quarter.
It is now sitting on an AI server order backlog worth $11.7 billion. Dell expects to finish the year with $20 billion in AI server revenue. The updated forecast is a third higher than its prior expectation and would be double the AI server revenue it generated in the previous fiscal year.
Dell’s backlog suggests that it is indeed on track to meet its full-year AI revenue target, though don’t be surprised to see the company exceed that mark as the year progresses. That’s because the AI server market is expected to clock an annual growth rate of 34% through 2030, generating a whopping $837 billion in revenue at the end of the decade.
The company’s projected AI server revenue growth indicates that it is on track to grow at a faster pace than the end market. So, the company seems to be gaining more share of this lucrative space. That’s not surprising as Dell points out that it witnessed the largest expansion in its customer base last quarter. Moreover, it is increasingly converting its proof-of-concepts into full production deployments.
As a result, Dell could continue witnessing healthy growth in its revenue in the coming years given its ability to grow at a faster pace than the lucrative AI server market. At the same time, the company’s forecast that its AI margins will start improving from the second half of the year suggests that stronger earnings growth could be in the cards.
The stock could deliver outstanding gains
Dell’s 12-month price target of $150 as per 27 analysts covering the stock points toward a potential jump of 24% from current levels. But if we take a look at the stock’s valuation and its ability to deliver stronger earnings growth in the future, it could turn out to be a solid long-term winner. In fact, it is not surprising to see that analysts have increased their earnings growth expectations from Dell following its latest report.
DELL EPS Estimates for Current Fiscal Year data by YCharts
Assuming that the company can indeed clock $12.26 per share in earnings after a couple of years and trades at 29 times forward earnings at that time, in line with the tech-laden Nasdaq 100 index (using the index as a proxy for tech stocks), its stock price could hit $358. That’s nearly triple Dell’s current stock price.
Dell is currently trading at just 13 times forward earnings, indicating that it is substantially undervalued. That’s why investors looking for an AI stock that’s capable of clocking robust long-term growth and is trading at an attractive valuation can consider accumulating Dell, as it is in a solid position to capitalize on the tremendous growth of the AI server market.
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Harsh Chauhan has no position in any of the stocks mentioned. The Motley Fool has no position in any of the stocks mentioned. The Motley Fool has a disclosure policy.
Disclaimer: For information purposes only. Past performance is not indicative of future results.
AI Insights
AI godfather Geoffrey Hinton fires ‘nuclear bomb’ warning: ‘A normal person in the street can…

Geoffrey Hinton, a leading figure in the field of artificial intelligence (AI), has sounded an alarm about the technology’s potential for harm. The recent public frenzy over AI tools like ChatGPT has caused Hinton to shift from accelerating AI development to raising deep concerns about its future. He now believes that AI poses a grave threat to humanity, saying that the technology can help any person to create a nuclear bomb.Hinton described a chilling scenario where AI could enable an average person to create a bioweapon.“A normal person assisted by AI will soon be able to build bioweapons and that is terrible,” he said, adding, “Imagine if an average person in the street could make a nuclear bomb.”Hinton also discussed a range of topics, including the nuclear-level threats posed by AI, his own use of AI tools, and even how a chatbot played a role in his recent breakup.Recently, Hinton cautioned that AI could soon surpass human capabilities, including emotional manipulation. He suggested that AI’s ability to learn from vast datasets enables it to influence human feelings and behaviours more effectively than humans.
Hinton debates the definition of ‘Intelligence’
Hinton’s concern stems from his belief that AI is truly intelligent. He argued that, by any definition of the term, “AI is intelligent.” He used several analogies to explain that an AI’s experience of reality is not so different from a human’s.“It seems very obvious to me. If you talk to these things and ask them questions, it understands,” Hinton explained. “There’s very little doubt in the technical community that these things will get smarter,” he added.However, not everyone agrees with Hinton’s view. His former colleague and co-winner of the Turing Award, Yann LeCun, who is now the chief AI scientist at Meta, believes that large language models are limited and cannot meaningfully interact with the physical world.
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