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Google must double AI capacity every 6 months.

DA
Daniel Reed
14 hours ago7 min read2 comments
In a directive that lays bare the ferocious tempo of the artificial intelligence arms race, Google's AI infrastructure chief has issued a staggering internal mandate: the company's computational capacity for AI must double every six months, culminating in a thousandfold increase within just five years. This isn't merely an ambitious target; it's a logarithmic explosion of demand that fundamentally redefines the scale of modern computing.To put this into perspective, this trajectory utterly dwarfs the once-immutable Moore's Law, which predicted a doubling of transistor density every two years—a pace that now seems almost leisurely. This new 'Google's Law' of AI scaling speaks to a voracious, insatiable hunger for processing power, driven by the training of ever-larger large language models (LLMs) like Gemini and the colossal inference costs of serving billions of user queries daily.The implications ripple far beyond Google's own data centers, placing unprecedented strain on global supply chains for advanced semiconductors, particularly the Nvidia H100s and Blackwell GPUs that are the workhorses of this revolution, and igniting a global scramble for energy resources and sustainable cooling solutions. We are witnessing the dawn of a new era where computational density becomes the ultimate strategic asset, a form of geopolitical currency as critical as oil was in the 20th century.This relentless push will inevitably accelerate research into next-generation AI architectures, such as mixture-of-experts models, which are more efficient, and could force a reckoning with the environmental footprint of the tech industry. The question is no longer if AI will transform society, but whether the physical infrastructure of the planet can keep pace with the digital minds we are so feverishly building. This is the central engineering challenge of our time, and Google's internal memo is a stark admission that the race has only just begun.
#featured
#Google
#AI infrastructure
#capacity expansion
#data centers
#compute demand
#AI chips
#hardware investment

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