Meta Builds 1GW+ Data Centres to Power AI Ambitions
Meta Platforms is undertaking a sweeping and unprecedented investment in artificial superintelligence (ASI), signalling a new era in digital infrastructure.
At the centre of the strategy are two major data centre initiatives — Prometheus and Hyperion — designed to support Meta’s efforts to develop AI systems that surpass human intelligence in capability and reasoning.
Mark Zuckerberg, CEO of Meta, confirmed plans in a public statement on Facebook, declaring that “hundreds of billions of dollars” will be invested in infrastructure, compute and talent to bring ASI to life.
He says: “Meta Superintelligence Labs will have industry-leading levels of compute and by far the greatest compute per researcher.”
Data centres as the foundation for superintelligence
The most striking aspect of Meta’s ASI push is its infrastructure ambition.
Prometheus, a 1GW AI data cluster scheduled to go live in 2026, will be the first of its kind globally, surpassing any current hyperscale deployment.
At an estimated US$30bn per GW, the project alone illustrates the magnitude of Meta’s AI roadmap.
Following Prometheus, Hyperion is expected to scale further with up to 5GW in a phased approach over several years.
By design, both clusters support Meta’s future AI models, including the subsequent iterations of Llama 4 and newer, more complex architectures.
Additionally, the plan is for the “titan” clusters to supplement capacity, ensuring Meta’s compute environment can flex and grow in line with research demands.
The deployments make clear that Meta is not simply chasing AI capabilities; it is building the physical and technical infrastructure to lead them.
Unlike cloud providers that rely on third-party partnerships, Meta is pursuing an independent infrastructure model.
“We have the capital from our business to do this,” Mark says, positioning Meta’s financial autonomy as a strategic advantage in a race typically dominated by Microsoft, Amazon and Google.
Meta Superintelligence Labs: A strategic consolidation
To manage and scale its superintelligence ambitions, Meta has launched Meta Superintelligence Labs (MSL), a new division combining its AI initiatives under one umbrella.
The leadership team brings together prominent figures from across the AI landscape, including Alexandr Wang (Scale AI), Daniel Gross (Safe Superintelligence) and Nat Friedman (formerly of GitHub).
MSL benefits from Meta’s recent US$14.3bn acquisition of Scale AI, a move that secures high-quality data labelling tools and bolsters the HLE (Humanity’s Last Exam) benchmark.
The acquisition is widely seen as a corrective response to earlier quality concerns around Llama 4.
Industry-leading talent strategy
Meta is aggressively recruiting elite AI talent.
Engineers and scientists from DeepMind, OpenAI, Anthropic and others have joined Meta in recent months; many reportedly offered packages of up to US$300m over four years.
Among the notable hires are Hongyu Ren and Jiahui Yu (co-creators of GPT-4o), Jack Rae (Gemini pre-training lead), Pei Sun (Gemini reasoning expert) and Shengjia Zhao (ChatGPT co-creator).
The appointments reflect Meta’s intent to assemble what Mark calls “the most elite and talent-dense team in the industry”.
According to industry analyst Karl Freund of Cambrian AI Research: “Clearly, Zuckerberg intends to spend his way to the top of the AI heap. The talent he is hiring will have access to some of the best AI hardware in the world.”
Mark’s involvement in recruiting — hosting candidates at his homes in Palo Alto and Lake Tahoe — illustrates how central the programme is to Meta’s future.
A new era in ai infrastructure
Meta’s superintelligence strategy has significant implications for the telecommunications sector.
As data demands increase, the need for ultra-scalable, high-bandwidth and low-latency infrastructure will continue to grow.
With Prometheus and Hyperion, Meta is setting a benchmark in performance engineering, energy consumption and AI-centric networking architecture.
In Mark’s own words: “As the pace of AI progress accelerates, developing superintelligence is coming into sight.
“I believe this will be the beginning of a new era for humanity and I am fully committed to doing what it takes for Meta to lead the way.”
For telcos, infrastructure vendors and cloud providers alike, Meta’s plans serve as both a call to arms and a case study in vertical integration. The race to build the AI future is no longer theoretical — it’s structural.
