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Mexico Plans the Coatlicue AI Supercomputer

Mexico announced the construction of the Coatlicue supercomputer, the most powerful in Latin America for AI and data, which will be operational in 2028 with a capacity of 50 petaflops.
Renders of the Coatlicue supercomputer at the IPN facilities, Mexico City

Renders of the Coatlicue supercomputer at the IPN facilities, Mexico City

Sofía Herrera Luna | Tech Correspondent
1 min | Last updated: 03/05/2026
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Mexico City: The Mexican government announced the construction plan for the Coatlicue supercomputer, designed to be Latin America's highest-capacity computing infrastructure dedicated to artificial intelligence and data analysis. Construction will begin in 2026 and it is scheduled to be operational in 2028, with an initial budget of 800 million pesos.

The project, managed by CONAHCYT (National Council of Humanities, Sciences, and Technologies), envisions an initial computing capacity of 50 petaflops, sufficient to process the most advanced large-scale language models and perform national-scale climate, genomic, and economic simulations. The infrastructure will be installed on the campus of the National Polytechnic Institute in Mexico City.

Project Objectives

President Claudia Sheinbaum presented the project as part of the national digital sovereignty strategy. The Coatlicue will be available to researchers from public universities, domestic technology companies, and federal government agencies. Applications in public health, food security, education, and industrial development will be prioritized.

Mexico seeks with this project to reduce its dependence on foreign computing infrastructure, currently dominated by Amazon, Google, and Microsoft data centers. The government argues that computational sovereignty is an extension of national sovereignty in the digital age.

Regional Perspective

The announcement reinforces the regional trend of public investment in advanced technology. Brazil already operates the Santos Dumont supercomputer from the LNCC, while Argentina has announced similar plans as part of its science and technology policy. Industry experts note that these initiatives, while symbolically important, must be accompanied by investment in human talent and university ecosystems to have a substantive economic impact.

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