NamuAX Showcases AI Infrastructure Operations Technology at Open Technet Summit 2026
TECHWORLD ·
✦ AI Summary
NamuAX participated in the Open Technet Summit 2026 and unveiled its AI and cloud platforms and AI infrastructure operations technology.
At the event, the company introduced its enterprise agentic AI platform, NAA, its multi- and hybrid-cloud management platform, SPERO, its server virtualization platform, namuVIRT, and its AI-native platform, Cocktail Cloud.
It also unveiled the AI infrastructure operations platform NAAX, along with an NAA demo and proposals for integrated GPU and model management, MIG-based GPU partitioning and isolation, and vLLM-based inference optimization.
NamuAX participated in the Open Technet Summit 2026 and unveiled its AI and cloud platforms, as well as its AI infrastructure operations technology. At the event, NamuAX also showcased GPU resources for running AI agents and infrastructure operations technology for integrated management of AI models.
NamuAX's in-house platform spans virtualization, cloud, AI infrastructure, and agentic AI. Based on this, the company presented a direction aimed at improving the efficiency of enterprise AI operations.
At the event, NamuAX introduced its enterprise agentic AI platform, NAA (NAMU Agentic AI), its multi- and hybrid-cloud management platform, SPERO, its server virtualization platform, namuVIRT, and its AI-native platform, Cocktail Cloud.
It also held a demo of NAA. The demo showed how AI agents carry out tasks using internal corporate documents and data.
The AI infrastructure operations platform, NAAX, was unveiled. NAAX is an AIOps platform for integrated management of model and GPU resources for AI agent execution, and is built on NAA and the AI infrastructure operations platform Xster. Goh Woo-joo, vice president and CAIO at NamuAX, gave a presentation under the theme, "NAAX, an AIOps platform for Efficient AI in AI infrastructure."
NAAX is designed to manage models and GPUs in a single environment and includes GPU resource allocation, AI model deployment, endpoint creation, usage management, and status management functions. Through this, it aims to connect the AI service operations process and raise infrastructure utilization by integrating GPU operations procedures and model operations procedures, which had previously been managed separately.
During the presentation, it was explained that AI adoption is increasing. Accordingly, Goh said that the importance of allocating deployed resources to actual workloads, rather than simply securing GPUs, is growing, and that the importance of stable operation of multiple AI models is also expanding.
On-site, GPU over-allocation by project and manual model deployment emerged as major operational issues. As technical countermeasures to address these problems, MIG-based GPU partitioning and isolation, vLLM-based inference optimization, model catalog-based deployment, and endpoint creation methods were presented.
Going forward, NamuAX plans to continue supporting enterprise AI adoption and operations based on its own platform spanning virtualization, cloud, AI infrastructure, and agentic AI. At the same time, it plans to advance its GPU operations software and AI model operations software, and broaden cooperation with domestic AI server vendors, domestic accelerator vendors, and domestic data center companies to expand into the national AI infrastructure build business.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407161
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Source: TECHWORLD
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