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China accelerates construction of large-scale AI data centres in rural Inner Mongolia to support growing artificial intelligence demand

Deployment Provisional 55% confidence first seen 22 September 2026, 22:03

BBC reporting describes rapid expansion of data centres under construction in rural Inner Mongolia, aimed at supplying computing capacity for China’s AI platforms. The coverage says hundreds of facilities are being built, alongside increased infrastructure and power generation, with mixed local impacts including reported village relocations in some areas.

BBC China Laura Bicker data centres AI safety Donald Trump Inner Mongolia Ulanqab United States Xi Jinping

Source coverage

22 Sep, 22:03 Rare look at the remote engine rooms powering China's AI ambitions BBC News independent 22 Sep, 22:04 A new skyline of data centres is rising from the rolling plains of rural China BBC News independent

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TLDRocket 22 September 2026

The big throughline today is cost control—AI getting cheaper to run without loosening the safety ties that companies use to keep customers from panicking. OpenAI rolled out GPT-6 Sol and GPT-6 Luna, cutting token prices by half to $2 per million input tokens for Sol (and $0.10 per million output), while pairing the move with better prompt caching. The practical promise is visible in the plumbing: GPT-6’s caching improvements aim for higher hit rates and lower prompt latency, with diagnostics, breakpoints, and controls that make repeated work less expensive and more observable. Anthropic’s answer, Claude Opus 5.5, leans into the same theme—about 40% lower running cost on typical default workloads—and even tweaks model behavior and billing, with API pricing at $4/$20 per million input/output tokens.

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China accelerates construction of large-scale AI data centres in rural Inner Mongolia to support growing artificial intelligence demand

Source coverage

Every AI story that matters, in your inbox by 8am.

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