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AI EXPO, NeoCloud
[AI EXPO KOREA 2026 Keynote] The Key to AI Sovereignty: Mondrian AI's "NeoCloud" Strategy
2026.05.12.
"AI sovereignty starts with infrastructure."
Behind the global generative AI boom lies a critical dilemma: skyrocketing GPU operating costs and the so-called "infrastructure bottleneck." Simply adopting a high-performing AI model is no longer enough to build real competitive advantage. Unpredictable cloud billing and complex configuration requirements turn into unsustainable operational burdens the moment an enterprise AI project begins to scale.
So how can businesses break through this growing barrier?
Here's a recap of the keynote delivered by Daeui Hong, CEO of Mondrian AI, at AI EXPO KOREA 2026—a session that drew a packed, standing-room-only audience of industry professionals.
In his talk, CEO Hong offered a sharp critique of the limitations of conventional VM-centric general-purpose clouds and unveiled a new infrastructure paradigm built to enable true AI independence: NeoCloud. NeoCloud introduces a five-pillar Vertical E2E strategy designed to dramatically reduce enterprise AI operating costs while securing complete data sovereignty.
- Community Cloud & Federated Cloud: Intelligently connects idle GPUs around the world to deliver high-performance computing resources at up to 70% lower cost than major global cloud providers. Per-minute billing and virtually unlimited scalability—free from geographic constraints—eliminate the typical pain points of short-term GPU rentals.
- Private AI Cloud & Agentic AI Platform: Transforms in-house enterprise servers into powerful Sovereign AI environments. Sensitive internal data stays fully protected, while organizations retain complete control over resource allocation and cost management across departments. Fragmented multi-LLM environments (ChatGPT, Claude, Gemini, and more) are unified under a single API, giving enterprises transparent, centralized oversight of token usage and access permissions company-wide.
- Token Factory: Transforms in-house enterprise servers into powerful Sovereign AI environments. Sensitive internal data stays fully protected, while organizations maintain complete control over departmental resource allocation and cost management.
This is the blueprint for the next generation of AI infrastructure—one that moves beyond simply consuming models and into the era of token production. Click the button below to read the full blog post and explore the detailed insights from the keynote, including the complete cost-optimization roadmap.
