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16. July 2025
Mark Zuckerberg, CEO of Meta, has taken extreme measures to keep up with the rapidly evolving landscape of artificial intelligence (AI). The company’s unorthodox approach involves setting up temporary data centers in tents, a far cry from the conventional, high-rise structures that have come to define modern data center design.
The use of prefabricated modules designed from the ground up to deliver computing power quickly is a departure from the usual approach, which often involves building out existing infrastructure or investing heavily in new construction projects. This novel strategy underscores Meta’s desperation to stay ahead of the curve and its willingness to take risks to achieve its goals.
Zuckerberg has largely corroborated the reporting, promising that Meta is on track to be the first lab to bring a 1GW+ supercluster online. While this commitment to expanding computing power may seem like a step in the right direction, it also raises questions about the sustainability and environmental impact of such efforts.
Meta’s decision to prioritize speed over traditional construction methods is reminiscent of billionaire Elon Musk’s EV maker Tesla setting up temporary tents to ramp up production of the company’s Model 3 sedan following months of “production hell” back in 2023. Could Zuckerberg be facing a similar crunch time, desperately trying to convince investors and users of a future filled with so-called “superintelligent” AIs that justifiably eat up a monstrous amount of resources?
By all indications, Zuckerberg is attempting not to get left behind by fierce competition in the AI space. He has been poaching AI researcher talent at competitors left and right, offering enormous compensation plans to woo top talent. Earlier this week, the executive went on a media blitz, touting Meta’s latest data center construction projects as part of a broader plan to spend “hundreds of billions of dollars” to build superintelligence.
However, whether Meta’s efforts to expand its computing power with the help of temporary tents will pay off remains to be seen. One concern is that these prefabricated modules can get hot, meaning Meta may need to shut down racks during the hottest summer days, which could impact overall efficiency and reliability.
Zuckerberg’s mad dash to stay relevant in the AI space is driven by an enormous bet on unproven technology. As the New York Times reported last month, the CEO was quietly worried Meta was falling behind, kicking off his massive hiring spree. The company has built a huge new data center called Hyperion, which will supply massive computing power, five gigawatts (GW), for its growing AI needs.
That’s enough power to run millions of homes. According to CEO Mark Zuckerberg, this facility will be big enough to cover most of Manhattan and is likely being built in Richland Parish, Louisiana, where Meta already has a $10 billion data center project underway. This move is part of Meta’s push to stay ahead in the race to develop AI, competing with companies like OpenAI and Google DeepMind.
After hiring top AI experts, Meta is now focusing on the computing power needed to train the most advanced AI models. By 2030, the company plans to have two GW of power online and scale up to five GW in the following years. Zuckerberg also announced another major project called Prometheus, a supercomputer cluster being built in New Albany, Ohio, which will go online in 2026 and provide 1 GW of computing power.
This would make Meta one of the few tech companies to operate such a massive AI data center. However, building and running these centers takes a toll on local communities. For example, a Meta project in Georgia reportedly caused water shortages for nearby residents. Other data centers, like those from AI company CoreWeave in Texas, could double the electricity demands of entire cities.
Despite these issues, the tech industry is racing to build more of these powerful facilities. Other major projects include OpenAI’s Stargate (with Oracle and SoftBank) and Elon Musk’s xAI Colossus supercomputer. The US government, including President Donald Trump and current officials like Energy Secretary Chris Wright, is backing this trend.
Wright argues that AI is worth the high energy cost because it turns electricity into “intelligence.” Some experts warn, though, that without increasing energy production, data centers might soon consume up to 20% of US electricity, up from just 2.5% in 2022, creating more strain on local infrastructure.
As the debate surrounding AI’s environmental impact continues, one question remains: are the benefits of such powerful computing facilities justified by their enormous energy demands? Or should there be limits on how much power these facilities can consume?
In a world where AI is increasingly seen as a driving force behind technological advancements, it’s essential to consider the broader implications of our actions. As we hurtle toward an era of superintelligent machines, it’s crucial that we prioritize sustainability and environmental responsibility alongside innovation and progress.
Ultimately, Meta’s decision to set up temporary data centers in tents is a reflection of the company’s willingness to take risks and push the boundaries of what’s possible. However, as we move forward in this rapidly evolving landscape, it’s essential that we prioritize responsible innovation, one that balances progress with environmental stewardship and social responsibility.
The AI race is far from over. The question remains, who will emerge victorious? Only time will tell, but one thing is certain – the world will be watching closely as these technological titans continue to shape our destiny.