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AxeleraAI: A Boost For Europe’s AI Ambitions With A $66 Million EU Grant

by News Editor

March 10, 2025

AxeleraAI, a pioneering force in Europe’s tech landscape, has secured a significant boost with a newly awarded grant of up to 61.6 million euros ($66 million) aimed at revolutionizing AI chip technology for data centers. This pivotal investment aligns with the European Union’s strategy to enhance its competitiveness in the global AI arena against powerhouses like the United States and China.

Europe’s Strategic Move In AI Development

With funding channeled through EuroHPC, Europe is laying the groundwork for advanced AI infrastructures, including the construction of AI factories, which will serve as innovation hubs accessible to scientists and companies across the continent. AxeleraAI aims to develop an efficient chip for ‘inference’ processes, crucial for deploying robust AI models, while steering clear of direct competition with entrenched players like Nvidia.

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Titania Chip: The Next Frontier

Set to be built on the open-source RISC-V standard, the upcoming Titania chip promises enhanced performance and a cost-effective solution for expanding AI applications beyond traditional norms. This potential shift coincides with the emergence of cost-efficient AI models like China’s DeepSeek, further driving global demand for inference computing.

Past Achievements and Future Prospects

AxeleraAI’s journey, bolstered by investments from giants like Samsung, underscores a burgeoning ecosystem of innovation. Their existing chip, Metis, is already making waves in “edge AI” applications, proving indispensable in varied industrial landscapes.

The AI landscape is evolving, and with strategic moves like these, Europe—and Cyprus within it—is poised to become a significant player on the global stage. Explore more about how global tech dynamics are influencing local markets with our insights…

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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.