Namu Technology (CEO Jeong Cheol) announced on the 29th that it had been selected for the "Strengthening AI Computing Resource Utilization Base (GPU Rental Support)" project, promoted by the Ministry of Science and ICT and the National IT Industry Promotion Agency (NIPA). This project is a GPU infrastructure support program designed to support the advancement of artificial intelligence (AI) technology across industries.
Namu Technology has developed a lightweight language model (SLM, Specialized Language Model) that analyzes manufacturing process data and equipment information in real time to predict and control the production process. Designed for fast inference and efficient computation even in complex manufacturing environments, the model can perform a variety of functions, including quality anomaly detection, process optimization, and automated report generation. This can be utilized to accelerate decision-making in production and establish a predictive operational system.
Currently, NamuTech is verifying the model's stability and applicability through real-time inference validation based on GPUs and edge computing. It is also verifying its scalability through demonstrations in real-world industrial settings, such as packaging facilities and bio-manufacturing. This process leverages NamuTech's cloud orchestration platform, Cocktail Cloud, and integrated management platform, SPERO, to implement a structure capable of integrated management of AI learning, inference, and resource operation.
This system allows companies to build a stable AI autonomous manufacturing environment based on their own data and realize a field-centered AI operating system.
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