Meta Plans To Build 'Supercluster' Centres To Host AI Data

Uploaded on 2025-07-16 in FREE TO VIEW, NEWS-Cybersecurity News, TECHNOLOGY-Key Areas-Artificial Intelligence

Meta CEO Mark Zuckerberg has announced the intention to spend hundreds of billions of dollars building large 5GW ‘supercluster’ AI data centres in the US. This initiative is part of a broader effort to enhance Meta's computational capabilities and attract top talent to compete with leading AI companies like OpenAI.

The US technology industry has a growing appetite for rapid AI development to build these clusters, with capital expenditure at Meta surging to $68 billion over the last 18 months.

Meta's critical advantage is that it has very deep pockets, having made most of its money from online advertising, which generated over $160bn in revenue in 2024 and its shares have risen more than 20% in 2025.

Meta has seriously invested in super-intelligence technology and they believe it will out-think the smartest humans. Now, Zuckerberg has posted that Meta is building several multi-gigawatt clusters, and that one cluster, called Hyperion, could scale up to five gigawatts over several years."We're building multiple more titan clusters as well. Just one of these covers a significant part of the footprint of Manhattan," he added. Meta would "invest hundreds of billions of dollars... to build superintelligence" and that the centres had been given "names befitting their scale and impact". Zuckerberg said.

Zuckerberg has said that the first AI data centre, called Prometheus, is expected to be online next year, 2026 and he has said that one of the sites would almost be the size of Manhattan. Prometheus will be built in New Albany, Ohio, while Hyperion will be built in Louisiana and is expected to be fully online by 2030.

There are, however, already thousands of data centres around the world, many of them in the US, the UK and Germany. Not least of these is Stargate, a $500billion investment in re-industrialising the US, a project jointly funded by SoftBank, OpenAI, Oracle, and MGX, which has the intention to building a strategic capability to protect US national security,

Also, with infrastructure investment comes new demands - and growing concerns - particularly about the environmental impact and stress placed on energy grids. AI-driven data centres are extremely energy and water intensive. One study estimates that these centres could consume 1.7 trillion gallons of water globally by 2027.

Image: Cybrain

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