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Mexico Launches National High-Performance Computing and AI Cluster to Boost Research Collaboration
On June 18 2026, Mexico’s Secretariat of Science, Humanities, Technology, and Innovation (SECIHTI) unveiled a National High‑Performance Computing and Artificial Intelligence Cluster that will be installed at a minimum of nine universities and public research centres across the country. The initiative is designed to strengthen existing computing infrastructure, broaden access to advanced resources, and foster collaboration on high‑impact research projects in areas deemed strategically important for Mexico.
SECIHTI’s head, Dr. Rosaura Ruiz Gutiérrez, said the programme brings together the strengths of each participating institution and that collaboration is essential. Hector Benítez Pérez, Director General of Computing and Information and Communication Technologies at the National Autonomous University of Mexico (UNAM) and the project’s coordinator, highlighted several core objectives. He noted that the cluster will promote the training of specialists and technicians, reinforce infrastructure and connectivity, and establish a governance model to manage the network.
High‑performance computing (HPC) refers to the use of supercomputers and computer clusters to solve advanced problems that require massive parallel processing. Artificial intelligence (AI) involves computational systems performing tasks that normally require human intelligence, such as learning, reasoning, and perception. By combining HPC and AI, the cluster aims to support research that demands both large‑scale computation and sophisticated data‑driven analysis.
UNAM, one of the world’s largest public research universities, will play a leading role. The university’s existing HPC facilities, including the Ranger rack delivered in 2016, provide a foundation that the new cluster will build upon. The expanded network will allow researchers at UNAM and partner institutions to run simulations, model complex systems, and develop AI applications that can address national challenges.
The cluster’s governance model, as described by Benítez Pérez, will coordinate resource allocation, scheduling, and policy development across the participating sites. This structure is intended to ensure equitable access and to streamline collaboration among universities, research institutes, and industry partners.
In addition to technical infrastructure, the programme emphasizes capacity building. Training initiatives will target graduate students, post‑doctoral researchers, and technical staff, equipping them with skills in HPC job scheduling, parallel programming, and AI model deployment. By expanding the talent pool, the cluster seeks to sustain Mexico’s growing research ecosystem.
The initiative also aims to consolidate access to HPC resources for projects in strategic sectors such as energy, agriculture, health, and environmental science. By creating a national network, researchers can share data, tools, and expertise, reducing duplication of effort and accelerating the development of solutions that benefit the country.
While the announcement outlines the cluster’s goals and governance framework, specific technical specifications, such as node counts, processor types, or storage capacities, have not yet been released. The programme’s rollout timeline and funding details remain to be clarified by SECIHTI.
The National High‑Performance Computing and AI Cluster represents a coordinated effort to enhance Mexico’s research capabilities. By linking universities and research centres, the programme seeks to provide the computational power and collaborative environment necessary for cutting‑edge scientific inquiry.
As the cluster moves from planning to implementation, stakeholders will monitor how the network’s resources are allocated, how training programmes are structured, and how governance mechanisms evolve. The success of the initiative will likely influence future national investments in high‑performance computing and AI infrastructure.
SECIHTI’s head, Dr. Rosaura Ruiz Gutiérrez, said the programme brings together the strengths of each participating institution and that collaboration is essential. Hector Benítez Pérez, Director General of Computing and Information and Communication Technologies at the National Autonomous University of Mexico (UNAM) and the project’s coordinator, highlighted several core objectives. He noted that the cluster will promote the training of specialists and technicians, reinforce infrastructure and connectivity, and establish a governance model to manage the network.
High‑performance computing (HPC) refers to the use of supercomputers and computer clusters to solve advanced problems that require massive parallel processing. Artificial intelligence (AI) involves computational systems performing tasks that normally require human intelligence, such as learning, reasoning, and perception. By combining HPC and AI, the cluster aims to support research that demands both large‑scale computation and sophisticated data‑driven analysis.
UNAM, one of the world’s largest public research universities, will play a leading role. The university’s existing HPC facilities, including the Ranger rack delivered in 2016, provide a foundation that the new cluster will build upon. The expanded network will allow researchers at UNAM and partner institutions to run simulations, model complex systems, and develop AI applications that can address national challenges.
The cluster’s governance model, as described by Benítez Pérez, will coordinate resource allocation, scheduling, and policy development across the participating sites. This structure is intended to ensure equitable access and to streamline collaboration among universities, research institutes, and industry partners.
In addition to technical infrastructure, the programme emphasizes capacity building. Training initiatives will target graduate students, post‑doctoral researchers, and technical staff, equipping them with skills in HPC job scheduling, parallel programming, and AI model deployment. By expanding the talent pool, the cluster seeks to sustain Mexico’s growing research ecosystem.
The initiative also aims to consolidate access to HPC resources for projects in strategic sectors such as energy, agriculture, health, and environmental science. By creating a national network, researchers can share data, tools, and expertise, reducing duplication of effort and accelerating the development of solutions that benefit the country.
While the announcement outlines the cluster’s goals and governance framework, specific technical specifications, such as node counts, processor types, or storage capacities, have not yet been released. The programme’s rollout timeline and funding details remain to be clarified by SECIHTI.
The National High‑Performance Computing and AI Cluster represents a coordinated effort to enhance Mexico’s research capabilities. By linking universities and research centres, the programme seeks to provide the computational power and collaborative environment necessary for cutting‑edge scientific inquiry.
As the cluster moves from planning to implementation, stakeholders will monitor how the network’s resources are allocated, how training programmes are structured, and how governance mechanisms evolve. The success of the initiative will likely influence future national investments in high‑performance computing and AI infrastructure.
