CE Lab Accelerates AI Computing Resource Business
CE Lab, a specialist in artificial intelligence (AI) infrastructure solutions, is ramping up its service business to manage the entire lifecycle of data centers, including AI infrastructure design, systems integration, and operational management.
On July 30, CE Lab announced that it has started purchasing graphics processing units (GPUs) and key equipment to implement the 'AI Computing Resource Utilization Enhancement Project.'
CE Lab, following a board resolution, decided to make advance payments to four suppliers—Aswell AI, HS Hyosung Information System, iCRAFT, and SN Net System—and disclosed this information publicly. These advances are part of fulfilling the supply contracts announced on July 7 and will be executed using deposits received under the terms of the contracts. With large-scale orders placed just three weeks after contract signing, the project is now moving rapidly into its execution phase.
In the second half of this year, the GPU market is expected to shift to NVIDIA’s next-generation ‘Vera Rubin’ architecture. As a result, engineering capabilities to design and validate GPUs, central processing units (CPUs), networking, storage, and cooling as an integrated system are emerging as key competitive advantages in building AI data centers.
This is exactly the area covered by CE Lab’s ‘Professional Services.’ Leveraging its accumulated system-level engineering expertise, CE Lab provides end-to-end lifecycle management for AI data centers, including infrastructure design and construction, system integration and validation, workload optimization, and operational management. After construction is complete, the company plans to continue providing services at the operational stage to maximize GPU resource utilization.
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Seyhuk Yoon, CEO of CE Lab, stated, “The focus of AI infrastructure investment is shifting from merely acquiring GPUs to comprehensive capabilities in designing and operating entire systems. Because the Vera Rubin generation architecture delivers optimal performance only when computing, cooling, and networking are integrated, CE Lab aims to enhance the actual operational rates of domestic AI infrastructure through professional services covering everything from construction to operations.”
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