Designing a 2026 Ultra‑Large Green AI Data Center: Full Infrastructure Blueprint

1. Positioning and Scale

The proposal targets an ultra‑large AI compute base consisting of 5,000 cabinets (including 3,000 AI‑optimized cabinets), delivering a total IT load of 150 MW and a total power capacity of 200 MW, aiming to become a national‑level green zero‑carbon AI compute center benchmark.

2. Core Top‑Level Indicators

Key metrics: PUE ≤ 1.15, green electricity ≥ 80 %, 100 % liquid cooling, availability 99.995 %.

Liquid‑cooling penetration: 100 %.

Intelligent O&M coverage: 100 %.

Water‑resource recycling rate: ≥ 90 %.

3. Six Core Design Principles

Green low‑carbon: PUE ≤ 1.15, green electricity ≥ 80 %.

High reliability: Tier IV, 2N redundancy.

AI‑dense adaptation: 100 % liquid cooling, up to 80 kW per cabinet.

Modular elasticity: construction cycle reduced by 50 %, fast scaling.

Intelligent autonomy: AI + digital twin, autonomy rate ≥ 90 %.

Security trustworthiness: Level 2.0 Tier 3, multi‑layer defense.

4. Core Design Details

Site and Building: Located at a national compute hub node, seismic resistance up to magnitude 8, high‑insulation, three‑zone separated layout.

Power and Distribution: 2N redundant architecture, 800 V HVDC primary supply, supplemented by lithium‑ion/flow batteries, diesel generators, and direct wind‑solar integration.

Cooling System: 100 % spray‑type liquid cooling combined with indirect evaporative cooling and waste‑heat recovery, achieving PUE as low as 1.12.

Cabinet Cabling: High‑density liquid‑cooled cabinets with 800 G/1.6 T high‑speed networking, Leaf‑Spine topology.

Fire and Security: Clean‑gas fire suppression, zero‑trust security, layered protection.

Intelligent Operations: DCIM 3.0 + digital twin, AI‑based predictive maintenance, self‑healing fault handling, unattended operation.

5. Market Outlook

AI‑driven compute center market is projected to exceed US$1.8 trillion by 2026, growing at a 23.9 % CAGR, and to surpass US$1 trillion by 2034, according to authoritative forecasts.

6. Summary and Future Outlook

The plan outlines a holistic approach that integrates green energy, high reliability, AI‑centric density, modular scalability, autonomous management, and robust security to meet the explosive demand for AI compute while achieving zero‑carbon objectives.