AI Gigafactory

What is an AI gigafactory?

An AI gigafactory is a large-scale technological infrastructure specifically designed for the development, training, and deployment of Artificial Intelligence models. It brings together massive computing power, high-performance storage, and advanced networking capabilities to produce AI in an industrial, efficient manner.

How does it differ from a traditional data centre?

While a conventional data centre hosts general-purpose applications and services, an AI gigafactory is optimised for AI-intensive workloads. It relies on specialised accelerators (such as GPUs), distributed architectures, and advanced data platforms to train and run complex models at scale.

Why is it relevant for businesses and digital sovereignty?

Because it enables the development and operation of advanced AI without relying exclusively on external infrastructures. For businesses, it means greater control over data, performance, and costs; for territories, it strengthens digital sovereignty and strategic capability in key technologies such as generative AI.

How does it relate to cloud, edge, and Edge AI?

AI gigafactories are typically integrated with cloud and edge environments. While the gigafactory concentrates training and massive compute capacity, Edge Computing and Edge AI enable models to be executed close to where data is generated, completing the full artificial intelligence lifecycle.