NamooAX and Cocktailio to Participate in ‘AI-Cloud Big Tech 2026’
IT DAILY ·
✦ Resumen de IA
NamooAX and its subsidiary Cocktailio announced on the 2nd that they will participate in “AI-Cloud Big Tech 2026.”
The event is hosted and organized by the Korea Artificial Intelligence Cloud Industry Association and sponsored by the Ministry of Science and ICT.
At the event, the two companies introduced environments and products that support enterprises’ AI adoption and operations through a joint booth and technical presentations.
NamooAX and its subsidiary Cocktailio announced on the 2nd that they will participate in “AI-Cloud Big Tech 2026.” The event is hosted and organized by the Korea Artificial Intelligence Cloud Industry Association and sponsored by the Ministry of Science and ICT.
At the event, presentations and exhibitions were held under the themes of agentic AI, cloud infrastructure, and AI data centers. NamooAX and Cocktailio operated a joint booth at the event.
NamooAX Executive Director Go Woo-ju was in charge of the technical presentation. Executive Director Go introduced technologies that support companies’ AI adoption and business use.
Through their joint booth and technical presentation, NamooAX and Cocktailio presented an environment linking service deployment, GPU resource management, and agent task execution. The company said the goal is to support stable AI use for enterprises.
Cocktailio is an AI and cloud-native specialist company. Cocktailio introduced “Cocktail Cloud” as a core infrastructure for the AI full stack.
“Cocktail Cloud” is a Kubernetes-based cloud-native platform. The platform is designed for multi-cloud and hybrid environments, and supports the deployment and operational efficiency of AI services.
As resource demand rose with service expansion, Cocktailio presented “Cocktail Optimizer” as a response measure. “Cocktail Optimizer” is an AI-based optimization solution that analyzes GPU usage in real time and aims to improve utilization and reduce costs. Cocktailio said it is pursuing relief from corporate infrastructure burdens centered on the two products and also supporting the adoption of agentic AI.
Meanwhile, NamooAX provides business functions and operational functions separately through “NAAO” and “NAAX.” “NAAO” is based on Red Hat AI Enterprise and supports document search, data search, and report generation. “NAAX” combines NamooAX agentic AI with the AI infrastructure operations platform “Xster,” and provides model deployment and GPU resource management.
Companies can choose solutions suited to their adoption environment and apply AI work using the selected solutions. They can also manage the models needed for execution as well as the resources needed for execution.
In a presentation titled “AI Cloud Next, from AI PaaS through AIOps to AI Data Centers,” Executive Director Go explained the management framework needed as organizations expand AI use. He pointed out that GPU monopolization by a specific task is a factor that hinders resource utilization, and explained that different deployment methods by person in charge are also a factor that hinders the use of secured resources.
As a solution to this, Executive Director Go presented demand-based resource allocation by model. He also proposed standardizing deployment procedures, managing access permissions by department, and managing usage by department.
He then introduced directions for cooperation in domestic NPU servers and modular data centers. He also explained a long-term vision to connect training and simulation infrastructure with on-site inference and control, and to expand into physical AI data centers.
NamooAX Executive Director Go Woo-ju said that for companies to continuously use AI, they must be able to stably supply the models and resources needed for their work. He added that the company plans to advance operational technologies suited to customer environments and expand the scope of application to data centers and industrial sites.
Cho Jae-woo, CEO of Cocktailio, stressed that as the spread of AI services across industrial sites deepens, the need for cloud infrastructure support to stably back them grows, and that GPU operational efficiency is a factor that determines competitiveness. He also emphasized his intention to pursue relief from the burden of AI adoption for enterprises using Cocktail Cloud and Cocktail Optimizer, and to drive tangible AX growth.
Separately, SK Pack, a subsidiary of NamooAX, served as the lead research and development organization on the government’s international joint R&D project in the field of physical AI-based autonomous manufacturing on the 1st.
Source: IT DAILY · Kwon Young-seok
Original: https://www.itdaily.kr/news/articleView.html?idxno=241989
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Source: IT DAILY
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