Hajra Naz
The AI infrastructure race has taken another unusual turn. Meta is now building data centers inside large tents, a move that reflects the company’s push to accelerate construction and expand its AI capacity faster than traditional methods allow.
To shorten development timelines, Meta has installed six temporary structures near New Albany, Ohio. The company refers to them as “rapid deployment structures.” The project was first identified by Michael Thomas, founder of data center tracking firm Cleanview, through satellite imagery and local construction records.
Meta Accelerates Massive Data Center Buildout
Meta CEO Mark Zuckerberg previously discussed plans to use weather-resistant tents for housing large-scale, multi-gigawatt AI facilities. Recent satellite images highlight how quickly those plans are becoming reality. According to city permits, Meta began constructing five tents, each covering around 125,000 square feet, between April and June. All of the structures have since been completed.
The strategy resembles Tesla’s past use of temporary tent facilities at its Fremont, California, plant during the Model 3 production ramp-up. Meta has also adopted another approach seen in the AI industry by powering the Ohio site with 200 megawatts of nearby modular gas turbines. These off-grid energy systems have gained attention through projects such as Elon Musk’s xAI. The tents are expected to house large quantities of high-value AI hardware.
Read More: Meta Plans In-House Chips for Training Advanced AI Models
Thomas described the development as evidence of how aggressively companies are expanding AI infrastructure. He noted that Meta is constructing numerous large tent-based facilities across the United States while deploying billions of dollars worth of AI chips and supporting them with independent power sources.
Growing Pressure Behind Meta’s AI Push
Meta’s rapid expansion comes as the company faces challenges in its AI business. Reports indicate that while Meta has completed work on its latest AI model, Muse Spark, developer access has been delayed due to ongoing issues with the APIs required to use the system.
Financial pressure is also driving the company’s urgency. Meta has announced plans to invest as much as $145 billion in data centers and other capital projects. Investors have expressed concerns about the scale of that spending, contributing to a decline in the company’s share price this year. Faster and less expensive construction methods could help offset some of those costs.
Read More: Meta Lays Off Nearly 1,400 Employees as AI Restructuring Accelerates
Why the Trend Matters
Meta’s tent-based facilities highlight a broader shift across the technology sector. As major companies compete to expand AI infrastructure, reducing construction costs and deployment times has become a top priority.
The impact extends beyond the United States. Countries such as Pakistan increasingly depend on AI services powered by infrastructure owned by global technology firms. Decisions made today about how these systems are built and operated could influence future AI pricing, service availability, and performance for users around the world.
