EU、AIコンピューティングと量子コンピューティング能力を加速するためのフレームワークを承認

The Race for Compute Sovereignty

While the world watches the chip wars between the US and China, Europe has quietly opened a new front in the battle for technological dominance: the infrastructure layer itself. In a move that signals a decisive shift from “regulator” to “builder,” EU leaders have advanced a sweeping regulatory package designed to fast-track large-scale AI compute facilities and integrate quantum capabilities directly into the continent’s supercomputing grid.

This isn’t just about red tape. It’s a survival strategy. For years, European startups and research labs have relied heavily on US-based hyperscalers for the massive compute power needed to train foundation models. This dependency has created a strategic vulnerability—a “compute deficit” that Brussels is no longer willing to tolerate. The new framework, informally dubbed the “AI Continent Action Plan,” aims to reverse this dynamic by creating a sovereign, federated network of high-performance computing (HPC) resources accessible to European innovators.

The stakes are clear. As foundational models grow exponentially in size, access to compute is becoming the primary bottleneck for innovation. By coordinating policy to subsidize and streamline the construction of AI factories, Europe is betting that it can build a “third way”—an ecosystem that is open, regulated, and independently powerful.

Technical Deep Dive: The EuroHPC & Quantum Nexus

To understand how Europe plans to pull this off, we have to look under the hood of the EuroHPC Joint Undertaking. Originally designed to pool resources for traditional supercomputing, this entity is being retooled as the engine of Europe’s AI ambition.

The “AI Factory” Blueprint

The new rules establish a standardized definition for “AI Factories.” These aren’t just data centers; they are specialized facilities optimized for the specific workloads of training and fine-tuning Large Language Models (LLMs). The technical requirements are rigorous:

1. Interconnect Density: Mandates for high-bandwidth, low-latency fabrics (like InfiniBand or custom European equivalents) to allow thousands of GPUs to act as a single logical unit.
2. Energy Efficiency: Strict PUE (Power Usage Effectiveness) targets that align with the EU’s Green Deal, forcing operators to innovate in liquid cooling and waste heat reuse.
3. Data Sovereign Zones: Physically segregated storage clusters that ensure sensitive training data never leaves the facility’s legal jurisdiction.

Quantum Integration

Perhaps the most ambitious part of the package is the explicit integration of quantum accelerators. The framework calls for colocation of quantum computers with classical exascale supercomputers (like JUPITER in Germany).

Conventional supercomputers handle the massive matrix multiplications required for neural network training. Quantum systems, however, are poised to handle specific optimization problems and simulation tasks that stifle classical silicon. By physically connecting these systems via low-latency optical links, the EU aims to create hybrid workflows.

Imagine a drug discovery pipeline:

1. AI Layer: A classical LLM generates candidate molecule structures.
2. Quantum Layer: A quantum processor simulates the molecular interactions of those candidates with high fidelity.
3. Feedback: The results are fed back into the AI model for the next iteration.

This “hybrid loop” is the holy grail of next-gen computing, and Europe’s centralized planning allows it to force this integration faster than the fragmented commercial market might naturally achieve.

Contextual History: From the AI Act to Infrastructure

The narrative of European tech policy has long been dominated by the AI Act, the comprehensive rulebook for AI safety and risk management. Critics labeled it a “innovation killer,” arguing that heavy compliance costs would drive development offshore.

This new infrastructure package acts as the carrot to the AI Act’s stick.

• 2023-2024: The focus was entirely on guardrails—classifying high-risk AI, transparency requirements, and banning unacceptable uses.
• Late 2024: The “Draghi Report” on European competitiveness sounded the alarm on the productivity gap, explicitly citing the lack of compute availability.
• 2025: The pivot happens. The Commission realizes that you can’t regulate what you don’t have. If all the AI is built in California, EU rules become irrelevant.

This shift mirrors the Airbus moment. Decades ago, Europe realized it couldn’t compete in aviation with scattered national champions, so it pooled resources to build a continental giant. The “AI Continent” plan is the digital equivalent: pooling state budgets to build infrastructure too expensive for any single nation (or even most private companies) to afford alone.

Forward-Looking Analysis: The Sovereignty Gamble

Will it work? The strategy faces significant headwinds.

The Supply Chain Reality

Building the data centers is one thing; filling them with silicon is another. Europe still lacks a domestic supplier of high-end AI accelerators (GPUs/TPUs). While the European Processor Initiative (EPI) is making strides with RISC-V based designs, the short-term reality is that these new EU facilities will be filled with Nvidia or AMD chips. This keeps the “hard sovereignty” goal out of reach for at least a decade.

The Talent War

Hardware is useless without software engineers to run it. The US still pays significantly higher salaries for AI talent. The EU hopes that providing access to world-class, heavily subsidized compute will be a sufficient lure to keep researchers in Paris, Munich, and Amsterdam. It’s a “field of dreams” strategy: if you build it, they (hopefully) will stay.

The Bureaucracy Risk

The biggest risk, as always, is speed. The tech cycle for AI is measured in months. EU legislative cycles are measured in years. If the “AI Factories” take three years to permit and build, they will be obsolete before they switch on. The success of this package depends entirely on the implementation—specifically, whether the “fast-track” provisions actually override local zoning and permitting delays.

Conclusion

The EU’s move to subsidize and coordinate AI compute infrastructure is a necessary correction to its regulation-heavy approach. By marrying traditional exascale power with experimental quantum capabilities, Europe is trying to leapfrog the current generation of technology. It’s a high-stakes bet on hybrid computing, but for a continent fearing irreversible irrelevance, it’s the only hand left to play.