SNET Systems Secures 140 Billion Won in Cumulative AI Infrastructure Orders...Expands Beyond GPU Supply to Operations and Agentic AI

SNET Systems (038680) is accelerating its business performance this year, securing cumulative orders worth 140 billion won in the artificial intelligence (AI) infrastructure sector. The company is expanding its presence in the AI infrastructure market, broadening its business areas from large-scale GPU infrastructure construction to enterprise software, GPU operations optimization, and agentic AI advancement.

On August 18, SNET Systems announced that it had achieved cumulative orders of 140 billion won in GPU and AI infrastructure-related projects so far this year. The company explained that it has been winning a series of large-scale AI infrastructure contracts for public institutions and enterprises, and is expanding its business scope beyond simple hardware supply to include software and operational optimization.

There has been a continuous stream of GPU infrastructure construction projects in both the public and corporate sectors. SNET Systems has been selected as the main contractor for establishing bio-AI infrastructure at public institutions affiliated with local governments, and is integrating servers, networks, and software. The company is also moving forward with GPU server infrastructure projects for central government departments, aiming for completion by the end of the year.

SNET Systems is also taking part in projects based on NVIDIA's latest architecture, Vera Rubin. By responding to the growing demand for state-of-the-art GPU infrastructure, the company is expanding its business opportunities in the large-scale AI data center construction sector.

The company has also reported steady orders in the software sector. SNET Systems signed a contract with C-Lab worth 25.92 billion won, supporting the provision of NVIDIA enterprise software and the construction of RUN-based GPU operational environments. The company highlighted that it has acquired the capability to provide not only hardware but also the software required for AI infrastructure operations.

SNET Systems has entered the field of operational optimization to maximize the efficient use of GPU resources. The company secured a "multi-vendor GPU optimization" project from a leading domestic telecommunications provider, applying resource optimization technology to efficiently operate different GPUs in a unified environment.

The company is also advancing its existing AI application projects using an agentic AI approach. It is currently converting AI compound projects previously offered to manufacturing companies to an agentic AI system, whereby the AI makes autonomous decisions and performs work accordingly.

SNET Systems plans to expand into the autonomous AI field by combining its accumulated AI application technology and infrastructure management capabilities built through its energy management and digital twin businesses.

The ability to expand its scope from AI infrastructure implementation to operation, optimization, and application services is considered a key differentiator for SNET Systems.

Lee Sangyeob, Executive Vice President of the AI Business Division at SNET Systems, stated, "SNET Systems is expanding its business into AI operation and application areas by leveraging our infrastructure management capabilities and data, and being able to connect infrastructure and AI into a single system is our company’s unique strength."

The company also noted it is the only domestic partner qualified to supply and integrate hardware from NVIDIA, Cisco, and Dell for AI data center construction. Building on this, SNET Systems plans to increase market share not only among large enterprises but also in the AI infrastructure and platform markets for the public, financial, and manufacturing sectors.

Ultimately, SNET Systems is emerging as a company encompassing every facet of AI infrastructure, expanding its business domain from GPU supply to operational optimization, software, and agentic AI, based on this year's 140 billion won in AI infrastructure orders.

This content was produced with the assistance of AI translation services.