Meta launches Meta Compute initiative to build gigawatt-scale AI infrastructure this decade

Reviewed byNidhi Govil

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Mark Zuckerberg announced Meta Compute, a new top-level initiative to aggressively expand the company's AI infrastructure. Meta plans to build tens of gigawatts of computing capacity this decade and hundreds of gigawatts over time. The effort will be led by infrastructure chief Santosh Janardhan and former Safe Superintelligence co-founder Daniel Gross, working closely with newly appointed president Dina Powell McCormick.

Meta Compute Signals Aggressive AI Infrastructure Expansion

Mark Zuckerberg announced the launch of Meta Compute on Monday, a new top-level initiative designed to dramatically expand Meta's AI infrastructure footprint

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. The social media giant plans to build tens of gigawatts of computing capacity this decade and scale to hundreds of gigawatts or more over time, positioning infrastructure development as a core strategic advantage

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. This AI-driven expansion comes as Meta committed $72 billion in capital expenditure for 2025 alone, with projections suggesting the company expects to spend $600 billion on AI infrastructure and jobs by 2028

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Source: Engadget

Source: Engadget

Leadership Structure for Gigawatt-Scale AI Data Centers

Santosh Janardhan, Meta's head of global infrastructure and co-head of engineering since 2009, will lead the technical execution of Meta Compute

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. His responsibilities span technical architecture, the silicon program, software stack, developer productivity, and building and operating Meta's global data center fleet and network

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. Daniel Gross, who joined Meta in 2025 as co-founder of Safe Superintelligence alongside former OpenAI chief scientist Ilya Sutskever, will lead a newly created group focused on long-term capacity strategy, supplier partnerships, industry analysis, capacity planning, and business modeling

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Source: Tom's Hardware

Source: Tom's Hardware

Strategic Government Partnerships and Nuclear Energy Commitments

Dina Powell McCormick, who recently joined Meta as president and vice chairman after 16 years at Goldman Sachs and service as an advisor to President Trump, will work on partnering with governments and sovereigns to build, deploy, invest in, and finance Meta's infrastructure

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. Her role includes establishing strategic capital alliances and developing approaches to boost Meta's long-term investment capacity

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. Meta recently signed three new long-term contracts with TerraPower, Oklo, and Vistra for nuclear energy, bringing its total contracted atomic power to roughly 6.6 gigawatts when combined with existing Constellation Energy commitments

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Racing to Support Advanced AI Models Amid Competition

The initiative addresses the energy-hungry demands of advanced AI models, as America's electrical consumption for AI could spike from 5 gigawatts to 50 gigawatts over the next decade

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. Meta is currently working on multiple gigawatt-scale data centers construction projects across Ohio, Louisiana, and Texas

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. The timing proves critical as Meta faces stiff competition in the genAI space, with Microsoft partnering aggressively with AI infrastructure providers and Google parent company Alphabet acquiring data center firm Intersect in December

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Pursuing AI Superintelligence Ambitions Despite Llama 4 Reception

Meta establishes Meta Compute at a pivotal moment in its AI journey. The company's Llama 4 model received a lackluster reception, and Meta is not currently considered a major AI leader like Google, Microsoft, or OpenAI

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. Following the muted response, Zuckerberg has reportedly pivoted from open-source development to building proprietary models under the codenames Avocado and Mango, though Meta continues releasing models like its Segment Anything Series in the open

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. The dedicated organization allows Meta to plan power, land, networking, and system architecture years in advance rather than scaling reactively, centralizing ownership of the full technical stack from software and system architecture to in-house silicon to maximize efficiency

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. As Meta pursues its AI superintelligence ambitions, the company's ability to secure sophisticated hardware, construct facilities, and deliver tangible economic benefits in regions where it operates will determine whether its massive investments translate into AI leadership

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Source: Axios

Source: Axios

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