China AI Data Center Supercomputing Campus Development Feasibility Study with Technology Infrastructure Outlook

Executive Viability Abstract

This feasibility study evaluates the development of a Tier-IV AI-dedicated Supercomputing Campus in China. The project targets the surging demand for Large Language Model (LLM) training and inference, leveraging high-density rack configurations and liquid cooling technologies. Situated in a strategic industrial zone with favorable energy quotas, the campus aims to bridge the gap between domestic AI computing needs and existing infrastructure limitations.

## Executive Summary The proposed China AI Data Center Supercomputing Campus is a 500MW facility designed to host approximately 50,000 high-performance GPU racks. ## Technical Feasibility The project utilizes state-of-the-art Indirect Liquid Cooling (ILC) and Direct-to-Chip cooling to manage the 50kW+ per rack density required for AI workloads. Integration with the State Grid via dedicated substations ensures 99.999% uptime. The infrastructure is designed to be 'GPU-agnostic', accommodating both international and domestic accelerators (e.g., Huawei Ascend, Biren). ## Market Analysis China's AI market is projected to grow at a CAGR of 25% through 2030. Government initiatives like 'East Data, West Computing' provide regulatory tailwinds. While US export controls pose a risk to hardware acquisition, the shift toward domestic silicon creates a unique opportunity for specialized data centers that can optimize for heterogeneous computing environments. ## Financial Projections Total CAPEX is estimated at $2.5 billion USD. Revenue will be driven by a hybrid model of wholesale colocation (60%) and GPU-as-a-Service (40%). EBITDA margins are expected to stabilize at 45% by Year 3. ## Risk Assessment Key risks include geopolitical trade restrictions affecting hardware supply chains and fluctuating energy prices. Mitigation involves multi-vendor sourcing and long-term Power Purchase Agreements (PPAs) with renewable energy providers.