SK Group stated the information middle in Ulsan is scheduled to begins operations by 2027 and is predicted to generate as much as 78,000 direct and oblique jobs
Korean conglomerate SK Group confirmed it would construct a knowledge middle within the metropolis of Ulsan, South Korea for a brand new AWS AI Zone that can assist organizations within the Asian nation construct revolutionary and new synthetic intelligence functions regionally.
In a launch, the Korean firm famous that the AI Zone will embrace devoted AWS AI infrastructure and servers with world-class semiconductors, UltraCluster networks for quicker AI coaching and inference, AWS providers like Amazon SageMaker and Amazon Bedrock and AI software providers corresponding to Amazon Q to advance Korea’s mission to be a world chief within the AI discipline.
On June 20, SK Group and AWS held a signing ceremony for the institution of the AI Zone in Ulsan.
The info middle in Ulsan is scheduled to begins operations by 2027 and is predicted to generate as much as 78,000 direct and oblique jobs over time as the information middle scales and operations develop. The AI Zone in Ulsan will mix capabilities from SK Group and AWS via a 15-year partnership to offer top-tier community operations, a semiconductor provide chain and environment friendly energy infrastructure. This partnership is along with AWS’s long-term US$5.88 billion deliberate funding in Korea by 2027.
SK Group will lead the development of the information middle, whereas AWS will set up the AI Zone in Ulsan, which is able to ship a broad number of AWS’s AI and cloud capabilities to prospects within the Asian nation.
The challenge brings collectively key SK Group associates, together with SK Telecom, SK Broadband, SK hynix, SK Gasoline and SK Chemical compounds, amongst others.
SK’s Telecom AI Infrastructure Superhighway is as a strategic initiative centered on three most important parts:
-AI Information Facilities (AIDCs): The service is establishing hyperscale AI knowledge facilities throughout South Korea, every designed to exceed 100 megawatts in capability. These amenities goal to function central hubs for AI processing and storage, supporting each home and worldwide AI workloads.
-GPU-as-a-Service (GPUaaS): To democratize entry to high-performance computing, SK Teñecp has launched a cloud-based GPU service. This platform permits companies and builders to make the most of highly effective GPU assets on-demand, facilitating AI mannequin coaching and deployment with out the necessity for vital upfront {hardware} investments.
-Edge AI: Recognizing the significance of low-latency processing, the Asian telco is increasing its edge computing capabilities. By integrating AI processing nearer to knowledge sources, corresponding to cell gadgets and IoT sensors, the corporate goals to boost real-time knowledge evaluation and decision-making throughout numerous functions.
In 2023, SK Telecom had introduced its ambition to develop into a world synthetic intelligence firm by strengthening its personal AI competitiveness and cooperating with companions globally.
The telco had beforehand reorganized its operations into seven key divisions, with a powerful concentrate on AI. This consists of specialised models corresponding to AI Transformation (AIX), AIDC, A. (A-Dot), and World Private AI Agent (GPAA), all devoted to enabling differentiated providers and AI management.
To strengthen its AI knowledge middle enterprise, the Korean telco has made strategic investments in Lambda, a world GPU cloud supplier, and signed an funding settlement with Penguin Options, a specialist in AI-driven knowledge middle options. In December 2024, SK Telecom launched the Gasan AI knowledge middle in partnership with Lambda and launched ‘SKT GPUaaS’ to speed up AI infrastructure enlargement in each home and worldwide markets.
Moreover, the Korean service is constant its collaboration with Penguin Options to drive world AIDC enlargement, develop next-generation reminiscence home equipment and advance joint analysis and commercialization efforts concentrating on rising enterprise AI use circumstances and vertical-specific calls for.
