While current efforts center on LLMs and SLMs use cases, the infrastructure required to support AGI and ASI will operate on an entirely different scale, necessitating radically expanded data centres, ultra-efficient energy systems, and next-generation thermal and compute architectures.
Artificial General Intelligence (AGI) and Artificial SuperIntelligence (ASI) have long lived in the realm of speculation and science fiction. But with the rapid evolution of large language models like GPT-4 and Gemini, we are now standing on the threshold of machines that could think, reason, and adapt not just like humans, but far beyond.
Yet behind the buzzwords and breakthroughs lies a question few are asking:
What would it actually take to run AGI or ASI at scale?
The answer isn’t just “more GPUs.” It demands a fundamental reinvention of compute infrastructure, energy sourcing, and cooling technology.
Let’s break down what it would mean to build a data centre powerful enough to support the future technology.
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It’s interesting how little attention is paid to the massive energy and cooling challenges AGI would pose. This article helps bring that to the forefront—perhaps nuclear or space-based data centers will become part of the conversation?
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