The 'Efficiency' of AI Infrastructure Revealed by the Meta × Arm Partnership — A Strategy to Shake Up GPU Dominance

Meta (formerly Facebook) has set 'efficiency and scalability' as the next axis of competition in the AI era. In October 2025, the company announced a partnership with Arm, a leader in semiconductor design, revealing plans to migrate its AI systems to Arm's latest 'Neoverse' platform. This move, running in parallel with the construction of massive data center clusters promoted by Meta, has the potential to redraw the map of the AI infrastructure race.

1. Why Meta Chose Arm: The Pursuit of Efficiency

1-1. Arm's Strength—The New Standard of 'Power Efficiency'

For years, Arm has been a company that prides itself on 'high-performance, low-power' technology cultivated through smartphone CPU design. As AI infrastructure expands explosively, Meta has shifted away from a GPU-centric structure toward a focus on 'performance per watt.' Arm CEO Rene Haas emphasizes that 'the next AI era will be determined by how effectively you can scale efficiency.' Against NVIDIA's overwhelming GPU dominance, Arm is challenging with a different strategy: 'energy saving × distributed processing.'

1-2. Meta's Intent—'AI Scaling for 3 Billion People'

Santosh Janardhan, Meta's Head of Infrastructure, stated, 'AI is changing the way people connect and create. Through our partnership with Arm, we can efficiently deliver that innovation to over 3 billion users.' This statement indicates that Meta's AI applications are not just generative AI, but are entering the 'core of the experience,' such as recommendations and ranking. The migration to Neoverse aims to simultaneously increase the accuracy and response speed of AI algorithms.

2. Massive Project Clusters: 'Prometheus' and 'Hyperion'

2-1. Prometheus: A Gigawatt-Class AI Base

Meta is currently building a next-generation data center called 'Prometheus' in New Albany, Ohio. Scheduled to be operational in 2027, its total output is expected to reach the gigawatt scale, and a 200-megawatt natural gas power facility is also being built on adjacent land. This is not just a data center, but a scale that could be called an 'AI-dedicated power city.'

2-2. Hyperion: The 'Mythical' AI Infrastructure

Furthermore, Meta is developing a 2,250-acre (approximately 200 times the size of the Tokyo Dome) data center campus called 'Hyperion' in Louisiana. Upon completion, it is expected to boast a computing capacity of up to 5 gigawatts, with partial operations scheduled to begin before 2030. These hubs will become 'Meta's brain,' supporting generative AI, the metaverse, and ad optimization.

3. The Meaning of a 'Pure Partnership' Without Equity

In recent years, partnerships surrounding AI infrastructure often involve capital ties. NVIDIA has made a phased investment of up to $100 billion in OpenAI and has also invested huge sums in Elon Musk's xAI and Mistral. Meanwhile, the partnership between Meta and Arm stands out as a 'pure technical partnership without the exchange of equity.' It can be said that Meta has secured the freedom to build its AI infrastructure under its own leadership, without being bound by capital relationships with other companies.

4. Changes in the Industry Map: From GPU Monopolization to Decentralization

The AI infrastructure market has until now relied on NVIDIA's A100/H100. However, as power consumption and supply constraints approach their limits, Arm and AMD are emerging. AMD has signed a contract to supply OpenAI with 6 gigawatts of computing capacity and is strengthening its offensive by obtaining stock options of up to 10%. This trend signifies the end of 'GPU-centrism' and the dawn of the 'multi-architecture era.' Arm's entry will likely serve as a catalyst for diversifying AI computation.

Conclusion: A 'Quiet Revolution' in the AI Infrastructure War

The partnership between Meta and Arm focused on a 'shift in design philosophy' rather than flashy investments or acquisitions. Now that AI is growing explosively, the essence of competition is 'how to scale while keeping power and costs down.' Meta's Prometheus, Hyperion, and Arm's Neoverse—the day may be near when these names are spoken of as the 'three pillars of infrastructure' on the 2030 AI map.

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