Meta to build US AI data centre almost size of Manhatten

Meta is to build an AI data centre in the US which is almost the size of Manhattan.

Manhattan in New York covers an area of around 59 square kilometres or 23 square miles.

The social media company’s founder Mark Zuckerberg said Meta will spend “hundreds of billions” on the data centre, which is expected to go live in 2026.

Writing on the social media platform threads, Zuckerberg said the New Albany, Ohio-based data centre will be called Prometheus and will be the first of several multi-gigawatt (GW) clusters.

The second, called Hyperion, will be able to scale up to five (GW) over several years.
Zuckerberg added the company is building “multiple” titan clusters.

Hyperion will be built in Louisiana, with the site expected to go live from 2030.

Zuckerberg said the names reflected the scale and impact they will have.

Zuckerberg added the data centres will form part of the company’s “superintelligence effort” which involves putting together the “most elite and talent-dense" team in the industry.

“Meta Superintelligence Labs will have industry-leading levels of compute and by far the greatest compute per researcher,” Zuckerberg said. “I'm looking forward to working with the top researchers to advance the frontier!”

Last month, news emerged that Zuckerberg is putting together a new team focused on the development of artificial general intelligence (AGI).

AGI is a theoretical system that can match or even surpass the capabilities of a human being.

According to Bloomberg, Zuckerberg is personally recruiting about 50 experts, including a new head of AI research, to lead the “superintelligence” team.



Share Story:

Recent Stories


Bringing Teams to the table – Adding value by integrating Microsoft Teams with business applications
A decade ago, the idea of digital collaboration started and ended with sending documents over email. Some organisations would have portals for sharing content or simplistic IM apps, but the ways that we communicated online were still largely primitive.

Automating CX: How are businesses using AI to meet customer expectations?
Virtual agents are set to supplant the traditional chatbot and their use cases are evolving at pace, with many organisations deploying new AI technologies to meet rising customer demand for self-service and real-time interactions.