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World of Software > Mobile > Telefónica is already selling its minicenters to compete in the era of real time
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Telefónica is already selling its minicenters to compete in the era of real time

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Last updated: 2026/02/23 at 7:49 PM
News Room Published 23 February 2026
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Telefónica is already selling its minicenters to compete in the era of real time
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For years we have been told that the future of artificial intelligence involves data centers that are increasingly larger, more powerful and more demanding in energy consumption. And it’s true that computing muscle matters. But there is an equally determining factor that is talked about much less: distance. In the era of real time, it’s not just how much you process that matters, but where you do it. Every millisecond that data takes to travel can disrupt the ability to react instantly. This nuance, apparently technical, is beginning to become a strategic issue for Spanish companies.

Telefónica’s bet. The company has activated the commercialization of its edge computing services for B2B clients in five Spanish cities, Madrid, Valencia, Seville, Bilbao and A Coruña, as part of a broader deployment that includes 17 nodes in this initial phase. This means that companies and administrations can now hire these processing and storage capacities close to the point where the data is generated.

Closer data. Edge computing involves processing information where it is generated, rather than constantly sending it to distant data centers. As Microsoft explains, it involves moving computing and storage capacity to peripheral locations on the network, such as factories, stores, offices or distributed infrastructures. In practice, local devices and servers analyze and filter data on site and only send what is relevant to central systems. The goal is to reduce latency, alleviate network traffic and enable real-time responses, complementing rather than replacing traditional cloud.

The deployment. Telefónica’s Edge Plan plans to reach 17 nodes in this first phase throughout this year. According to the company, 12 infrastructures are already deployed: to the five with active B2B services, other nodes are added in Madrid, Barcelona, ​​Málaga, Palma de Mallorca, Valladolid, Terrassa and Mérida. This same year, the incorporation of Zaragoza, Las Palmas de Gran Canaria, Gijón, Santa Cruz de Tenerife and Santiago de Compostela is planned. Many of these facilities are located in old copper plants converted into Edge centers, adapted to availability and security requirements.

Basic and Smart. Telefónica does not sell “edge” in the abstract, but rather two concrete ways of using it. The first is Basic Edge, a stable layer that brings computing capacity closer to the territory and focuses on data control and compliance with national, regional or local regulatory frameworks. Each node acts as an availability zone, allowing applications to be deployed with additional guarantees of continuity and resilience. The second is Smart Edge, which introduces dynamism: selection of the most appropriate node at all times, creation of instances on demand and operation with FTTH or 5G SA connectivity depending on the scenario.

Beyond physical infrastructure. Telefónica integrates computing capacity with GPUs into its portfolio for artificial intelligence loads, available as a service and deployed in Edge nodes. This allows companies and institutions to run high-performance models without purchasing their own hardware and maintaining processing within the defined regional environment. The company also mentions the incorporation of RAG agents and capabilities to adapt models to specific contexts. Overall, the strategy seeks to bring AI closer to data under criteria of sovereignty and regulatory compliance.

When the millisecond rules. An example helps to dimension the scope of this architecture. Telefónica developed with CAF a pilot that combines Edge and 5G Stand Alone for the railway sector, providing artificial vision solutions that process data close to the asset instead of depending on centralized infrastructure. According to the company, this approach avoids installing processing nodes in each car and keeps responsiveness at levels compatible with real-time operations.

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