Snet System Showcases AI Infrastructure and Operational Capabilities at Samsung SDS 'REAL Summit 2026'
Snet System is targeting the enterprise AI transformation market by leveraging its full-cycle capabilities, covering everything from AI infrastructure construction and platform integration to automated operations.
Snet System announced on September 8 that it participated as a gold sponsor in Samsung SDS's enterprise AX conference, "REAL Summit 2026," held at COEX in Seoul, where it showcased its AI infrastructure and operational capabilities.
At the event, Snet System presented its end-to-end managed service provider (MSP) capabilities and its AI-based IT operations platform, "CloudHub:AI." The company highlighted its business capabilities in supporting the entire process, from designing and building GPU and AI infrastructure, to building and integrating AI platforms, and all aspects of operation.
A key competitive advantage emphasized by Snet System was automated operation in AI environments. Through its MSP offerings, the company aims to stably manage customers' AI infrastructure, while CloudHub:AI enables AI agents to handle repetitive IT operational tasks.
The company’s strategy is to reduce the burden of infrastructure management and operation that arises after AI adoption, allowing enterprises to focus on leveraging AI.
Snet System has also secured technical proficiency and practical expertise in Samsung SDS's Samsung Cloud Platform (SCP). The company has been collaborating in the cloud field by providing hands-on SCP training to Samsung SDS employees and partners.
As more companies accelerate the adoption of AI, the importance of data centers, GPU infrastructure, cloud environments, and automated operations technology for the stable operation of AI models is also increasing. In response to these market trends, Snet System plans to expand its business scope beyond simple infrastructure construction to include post-AI adoption operations.
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A representative from Snet System stated, "The success or failure of AI adoption depends not on the model itself, but on the infrastructure and operational systems that ensure stable operation. We aim to establish ourselves as a provider responsible for supporting clients even after their AI transformation by combining our experience in infrastructure construction with our AI-driven operational technology."
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