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Cyprus Unveils Enhanced National Supercomputer Amid Pioneering AI Initiative

by THEFUTURE.TEAM

June 5, 2026

Cyprus Launches Upgraded National Supercomputer

Cyprus is set to launch its upgraded national supercomputer this June as part of the Pharos-CY initiative, expanding the country’s high-performance computing and artificial intelligence capabilities. Developed in collaboration with NVIDIA, the system will support research, data processing and AI-related applications.

Strategic Partnership With NVIDIA

NVIDIA is providing technical expertise, training and support as part of the project. Preparatory training sessions and technical consultations have been conducted ahead of the launch, with the infrastructure designed to support artificial intelligence applications, big data analytics and advanced simulations.

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Infrastructure And Collaborative Ecosystem

Hosted at the Cyprus Institute, the upgraded system builds on existing high-performance computing infrastructure already used for scientific research. Additional computing capacity will be available to universities, government departments, research organisations and private-sector users. Projects in healthcare, energy, environmental management, maritime operations, crisis response, digital governance and economic development are expected to benefit from the platform.

Pharos-CY And The AI Ecosystem

Alongside the supercomputer, the Pharos-CY initiative aims to expand access to AI infrastructure and computing resources in Cyprus. Operating as the country’s AI Factory Antenna, the project will provide infrastructure, data resources and technical tools to research institutions, businesses and public-sector organisations. Funding is provided by the EuroHPC Joint Undertaking and the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy. Coordination is led by CaSToRC at the Cyprus Institute.

High-Level Inauguration And Industry Engagement

The new AI and supercomputing infrastructure is scheduled to be unveiled at the Presidential Palace on Friday. Among the speakers are Deputy Minister of Research, Innovation and Digital Policy Nikodimos Damianou and Deputy Minister to the President Eirini Piki. NVIDIA Vice President of Sales and Business Development for HPC Yiannis Iosefakis is expected to deliver a keynote presentation titled “Cyprus–NVIDIA: From Collaboration to Implementation.”

Broader Implications For Cyprus’s Technology Strategy

Additional presentations will focus on technology initiatives and infrastructure projects, featuring Cyprus Institute Professor Konstantinos Dovrolis, Coordinator of Pharos-CY, and Georgios Tsouloupas, Head of Supercomputing and Artificial Intelligence Infrastructure at the Cyprus Institute. Proceedings will conclude with a panel discussion on the role of AI and high-performance computing in research, innovation and economic development, bringing together representatives from government, academia, NVIDIA and the technology sector.

Recent engagements with technology companies, including Amazon, Google, Oracle, Plug and Play and Tenstorrent, form part of broader efforts to attract investment and expand Cyprus’s technology ecosystem.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.