Elice AI Fullstack — From Data Center to Model, Scaling for the Agentic Era

Session Overview

AI has moved beyond single-turn answers into the agentic AI era, where systems repeatedly plan, execute, and evaluate on their own. Agents running on multi-turn, multi-step processes consume tens of times more tokens than a simple chatbot, and their inference and compute demand grows non-linearly. The agentic AI market is projected to grow from roughly $5.3 billion in 2024 to $199 billion by 2034 (a 43.8% CAGR), and global data center AI workload demand is expected to grow 3.5x to 156GW by 2030.

This unpredictable workload is shaking the cost and performance assumptions of existing infrastructure at their foundation. This session presents how Elice Cloud addresses this challenge with an "AI Fullstack" that combines AI PMDC (modular data center), ECI (AI-specialized IaaS), and Helpy Vision (specialized models) into one. Built on more than 10 PMDC deployments and four years of generation-by-generation production validation (from A100 to B200 DLC), the session shares how the company built a cost-efficient, high-performance AI cloud — with no compromise on equipment — through GPU clustering, parallel file systems, triple redundancy, CSAP certification, and 99.9% SLA.

Key Takeaways

• Token economics in the agentic era — why existing infrastructure hits its limits.
• Surging demand — the agentic AI market and global data center outlook.
• The four infrastructure requirements of agentic workloads.
• Elice AI Fullstack ① Infrastructure — AI PMDC + ECI.
• Elice AI Fullstack ② Model — Helpy Vision specialized models and data sovereignty.
• Four years of production validation and business impact (SLA, TCO, compliance).