The European Union is planning to build AI gigafactories, massive computing facilities each designed to house more than 100,000 AI-optimized processors dedicated to training frontier AI models. The price tag sits at roughly €10 billion for the initial sites, part of a broader €20 billion allocation from the InvestAI Facility that European Commission President Ursula von der Leyen announced in February 2025.
What exactly is an AI gigafactory
Each gigafactory would pack over 100,000 advanced AI processors into a single location. The initiative builds on the EU’s existing AI Factories program, which already provides shared computing access for researchers, small and medium enterprises, and startups. The gigafactories represent a dramatic escalation of that approach, moving from shared access to dedicated, continent-scale infrastructure.
Location selection will prioritize three things: power capacity, network connectivity, and supply-chain logistics.
The competitive landscape and why Europe feels behind
Right now, European AI companies and research institutions overwhelmingly rely on non-European hyperscalers, primarily American cloud providers, for their computing needs. The gigafactory initiative is explicitly designed to reduce that dependence. By building European-owned, European-operated compute infrastructure at scale, the EU aims to create a self-sufficient innovation ecosystem that doesn’t require relying on external providers every time someone needs to train a model.
So far, 77 proposals from stakeholders across 16 EU Member States have been submitted. The official call for expressions of interest from the European High-Performance Computing Joint Undertaking is expected in summer 2026.
Why crypto and digital asset investors should pay attention
First, there’s the energy angle. AI gigafactories are enormous power consumers. Each facility housing 100,000+ processors will draw electricity at a rate that rivals small cities. Bitcoin mining and AI training are increasingly competing for the same energy resources, the same grid connections, and in some cases, the same physical locations.
Second, the convergence of AI and blockchain is accelerating. Decentralized compute networks like Render, Akash, and io.net have positioned themselves as alternatives to centralized cloud providers for AI workloads. The EU’s push to build sovereign compute infrastructure could either validate the decentralized compute thesis or undermine it if government-funded facilities eventually offer subsidized access.
The €200 billion InvestAI program, of which the gigafactory initiative is just one component, represents one of the largest government technology investments in recent memory.
Investors in the AI-crypto crossover space should watch two things closely. First, whether the EU’s procurement process creates opportunities for decentralized compute providers to participate as interim solutions before gigafactories come online. Second, whether the energy demands of these facilities trigger regulatory changes around power allocation that could spill over into crypto mining policy across Europe.