Why Data Centers Locate in Ulanqab | Generated by AI

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Question: Why do major companies build data centers in Ulanqab, Inner Mongolia?

Answer:

Ulanqab’s cool climate with average annual temperatures around 4.3°C provides natural cooling benefits that significantly reduce cooling costs — this is the primary physics advantage. Data center cooling is often 30-50% of operational cost, so ambient temperature directly impacts PUE (Power Usage Effectiveness). Winters here are long and cold, which is ideal for liquid cooling and free cooling strategies.

Power economics are the second driver:

Inner Mongolia has vast investments in renewable energy sources (wind and solar), with installed capacity of wind and photovoltaic power at 6.3 million kilowatts. This translates to abundant, preferential electricity pricing — critical when a large data center consumes 50-100 MW continuously.

Proximity + policy:

Ulanqab is only 300 kilometers from Beijing, reachable in 1.5 hours by bullet train, making it suitable for serving Beijing/Tianjin users while maintaining separation from congested urban areas. Inner Mongolia’s local government provides tax incentives specifically aimed at attracting high-tech data center investment, similar to what Iowa/Nevada did for Google.

Land and stability:

Mild climate, stable geology, and low energy costs make it suitable. The region has vast available land at cheap rates — you can’t easily expand a data center in Beijing or Shanghai.

Who’s there now:

Huawei, Alibaba, and Apple have built data centers in Ulanqab. More recently, DeepSeek is hiring data center engineers in Ulanqab, suggesting they’re running their own infrastructure there for AI training.

The real story:

This is policy + economics alignment. In ~2013-2017, Inner Mongolia positioned Ulanqab as a data center hub (formerly a rural, poverty-stricken area). The government created a “Big Data Comprehensive Demonstration Zone,” and companies like Huawei validated the location, triggering a cascade. Now it’s the de facto cloud computing hub for northern China — a deliberate economic transformation through infrastructure arbitrage.

For AI workloads specifically, cheap power + large land + policy support = ideal for training clusters. This is likely why DeepSeek and others are building there.

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