
Innogrid (CEO Myungjin Kim) announced on the 11th that it has started an AI infrastructure construction project promoted by a large domestic manufacturing company.
This project introduces AI-based virtualization infrastructure to production facility technology, a core area of the manufacturing process. Its primary goal is to establish a cloud-based environment that enables the stable collection, storage, and analysis of diverse data generated in industrial settings. Innogrid is building an AI infrastructure suited for manufacturing environments by applying its virtualization solution, Openstackit, and its hyperconverged platform, Optimusit.
In recent years, the manufacturing industry has been increasingly adopting AI-based operational systems, leveraging the vast amounts of data generated by equipment, sensors, and instrumentation to enable predictive maintenance, improve process efficiency, and manage quality. This has led to a growing need for cloud infrastructure that offers stability, scalability, and high performance.
Innogrid's OpenStack-based IaaS platform, "OpenStackIt," features rapid virtual resource deployment and integrated management capabilities. It also supports GPU-based high-performance computing, enabling infrastructure configurations suited to AI workload processing. The accompanying "OptimusIt" platform, based on a hyperconverged infrastructure (HCI) architecture, integrates servers, storage, and networks to enhance deployment efficiency and is designed for cluster-level expansion tailored to manufacturing environments.
This project is significant in that it goes beyond simply introducing a virtualization system and establishes a foundation for manufacturing companies to operate AI analysis reliably. Innogrid plans to increase the usability of manufacturing process data by establishing a highly reliable infrastructure environment, real-time resource expansion capabilities, and an integrated management system.
Innogrid has accumulated extensive experience building cloud and virtualization infrastructure across the public, financial, and private sectors. The company believes this project will strengthen its technological competitiveness in the manufacturing AI infrastructure market.
Kim Myeong-jin, CEO of Innogrid, said, “This is significant in that it is a case study of building a cloud infrastructure that can reliably process AI workloads in a large-scale manufacturing environment.” He added, “Based on AI cloud technology, we will support the digital transformation of industrial sites and expand our competitiveness in the manufacturing AI infrastructure sector.”
Meanwhile, in the manufacturing industry, demand for cloud-based data infrastructure is steadily increasing as smart factories and industrial AI adoption expand.
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