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Meta Launches Meta Compute to Scale AI Infrastructure and Expand Global Energy Capacity

Meta has announced the launch of Meta Compute, a new initiative aimed at rapidly expanding the company’s artificial intelligence infrastructure and long-term compute capacity. The move follows earlier capital expenditure projections signaling that large-scale AI infrastructure would become a core competitive advantage for Meta as it develops advanced AI models and products.

Chief Executive Mark Zuckerberg said Meta plans to build tens of gigawatts of capacity this decade, with ambitions to reach hundreds of gigawatts over time, reflecting the growing energy demands of large-scale AI systems. The initiative is designed to strengthen Meta’s control over compute, data centers, networks, and energy sourcing as AI workloads continue to scale.

Zuckerberg named three senior leaders to oversee the effort. Santosh Janardhan, Meta’s Head of Global Infrastructure, will lead technical architecture, software and silicon programs, developer productivity, and the operation of Meta’s global data center and network footprint. Daniel Gross, co-founder of Safe Superintelligence, will lead a new group focused on long-term capacity strategy, supplier partnerships, and infrastructure planning. Dina Powell McCormick, Meta’s President and Vice Chairman, will coordinate with governments and financial partners on infrastructure development and financing.

Meta Compute positions the company alongside peers such as Microsoft and Alphabet in an intensifying race to secure AI-ready cloud and energy infrastructure as generative AI adoption accelerates globally.

James Dargan
About the author
James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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