NamuTech announced that it has won a contract to expand the machine learning (ML) operating environment of global company S. This project, after verifying environmental stability through initial pilot operations, expanded the scope of the existing operating environment to accommodate increasing ML workloads.
The project's primary goal is to maintain a Kubernetes-based ML environment while maintaining stable management of the expanded environment and improving resource utilization efficiency. Namu Technology established an operating system that integrates the existing configuration with the expanded environment, ensuring consistent operation even after scale-up.
Dedicated machine learning nodes and clusters have been expanded with CocktailCloud licenses, and an integrated management environment linked to the existing operating platform has been established. This allows distributed cluster environments to be managed within a single system.
CocktailCloud has improved operational efficiency through integrated monitoring of multi- and hybrid-cluster environments, and has laid the foundation for expanding ML services by supporting MLOps infrastructure management that takes into account repetitive model development and deployment.
A Namu Technology official stated, “This order is a mid- to large-scale project through the expansion of the existing system, and is a case in which we respond to the expanding demand for manufacturing sites and industrial AI/ML operating environments,” adding, “We plan to continue to support integrated management and resource optimization using Cocktail Cloud.”
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