OVHcloud CEO Questioned European AI Gigafactory Funding

The proposed 200 million euro public investment fails to meet the threshold required for commercial viability.

Updated on Sept. 23, 2026 in Data Centers

Bold flat-color editorial illustration of stacked industrial server racks connected by golden conduits, representing large-scale AI infrastructure.
OVHcloud CEO Octave Klaba warned that the European Union’s 200 million euro funding commitment is insufficient to sustain the commercial viability of proposed large-scale AI gigafactories. AI Illustration. Upload story photo >

Live Poll

Should governments increase financial commitments to ensure large-scale industrial projects become profitable?

OVHcloud CEO Octave Klaba stated that the European public sector's 200 million euro commitment for AI gigafactories is insufficient for operators to achieve profitability. The current funding plan would only cover a small fraction of the annual revenue required to sustain these large-scale computing facilities.

Why it matters

Europe's attempt to build domestic AI infrastructure faces a major economic hurdle, as limited national demand makes it difficult for operators to hit the scale necessary for commercial success. This funding gap threatens the viability of the seven proposed gigafactories designed to train and run complex AI models.

Operating these gigafactories requires a minimum of 600 million euros in chip expenditure alone, while the public commitment accounts for only 10 to 15 percent of the necessary annual turnover. Operators must clear 300 million to 400 million euros annually to reach a break-even point.

The players

Octave Klaba

Founder and CEO of OVHcloud, a global cloud service provider specializing in infrastructure as a service and private cloud solutions.

EuroHPC

A joint EU project that coordinates efforts to deploy high-performance computing and data infrastructure across Europe.

OVHcloud

A European cloud computing company that operates a network of data centers and offers cloud infrastructure, storage, and AI services.

The details

The EuroHPC program is seeking industry consortia to build and operate computing facilities for training, fine-tuning, and running AI models. However, the current model for these gigafactories relies on a fragmented approach where national demand is too low to support the massive capital and operational expenditure required for large-scale infrastructure. Klaba noted that this focus on national markets, rather than a unified strategy, prevents companies like OVHcloud from joining French consortia.

Timeline

  1. September 22, 2026: Octave Klaba provided estimates regarding the revenue requirements for European AI gigafactories.

The Tech Race

The EuroHPC program aims to scale European AI through the construction of seven dedicated gigafactories. The industry's skepticism highlights the widening gap between state-backed infrastructure goals and the actual capital requirements for modern high-performance AI compute centers.

The current funding shortfall suggests that European companies may face ongoing delays in accessing high-performance AI compute capacity on the continent. Development of the seven proposed gigafactories will likely remain stalled until public or private investment models are adjusted to ensure operational profitability.

The takeaway

The gap between the current public commitment and the required revenue highlights that Europe's AI ambitions may fail without a significantly larger investment model. Stakeholders should monitor upcoming EuroHPC tender requirements to see if authorities increase funding to meet these break-even thresholds.

Further reading

For more on the infrastructure supporting AI at scale, explore our coverage of Data Centers.

Live Poll

Should governments increase financial commitments to ensure large-scale industrial projects become profitable?

OVHcloud CEO Questioned European AI Gigafactory Funding