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Cheap Chinese and open source LLMs could reset AI infrastructure spending

Original: Cheap Chinese and open source LLMs could trigger trillion-dollar AI infrastructure 'reset'

Analysts warn that inexpensive Chinese and open source large language models could upend the trillion-dollar buildout of AI datacentres, as hyperscalers reassess how much computing capacity is actually needed. If capable models keep getting cheaper to run, planned spending on chips and facilities may face a significant correction, with far-reaching implications for the AI industry.

Why now: Big tech's massive AI infrastructure bets are being questioned as cheap, capable models from China and open source communities reduce the need for costly computing capacity.

ChinaThe Registerhyperscalers

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