BBVA Launches Bitcoin and Ethereum Trading as EU Crypto Regulations Tighten

by News Editor

March 10, 2025

In a landmark move, Spain’s banking giant Banco Bilbao Vizcaya Argentaria (BBVA) has gained approval from the Spanish financial regulator to offer Bitcoin and Ethereum trading to its clientele. This step is a result of the EU-wide enforcement of the Markets in Crypto-Assets (MiCA) regulation.

Key Insights

The authorization ends a prolonged journey, allowing BBVA to provide digital assets to its customers.
BBVA’s crypto journey follows in the footsteps of other major European banks like Deutsche Bank and Société Générale.
This approval highlights the changing dynamics of crypto markets across Europe.

The Bigger Picture

BBVA’s approval comes as MiCA takes full effect across the EU, marking a crucial phase in the bank’s strategy to offer digital asset services. Initially reported by CoinDesk in 2020, BBVA’s expansion into digital currencies was contingent upon regulatory clearance, previously planned for Switzerland due to its established regulatory framework.

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Earlier this year, the bank ventured into Turkey’s crypto market through a local subsidiary.

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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.

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