French artificial‑intelligence infrastructure company Sesterce disclosed plans to build a massive AI‑focused data centre in Finland, marking the latest large‑scale foreign technology investment in the Nordic region.
Project scope and timeline
The first phase of the development will begin construction in 2026 and will provide 200 megawatts (MW) of power for AI workloads. Sesterce expects to expand the facility to 600 MW in a second phase, and ultimately aims to exceed 1 gigawatt (GW) of AI‑computing capacity on existing industrial sites as market demand grows.
Location and site history
The data centre will be situated in Jamsa, a central‑Finland community, on the grounds of a former paper mill that ceased operations in 2021. Repurposing the decommissioned industrial site aligns with Sesterce’s strategy of using existing infrastructure to reduce construction costs and environmental impact.
Financial commitment and anchor customer
Sesterce estimates the total cost of the project at more than €10 billion (approximately $11.2 billion). The company confirmed that it already has an anchor customer committed to the facility, though the customer’s identity was not disclosed in the statement.
Strategic significance
Finland has become an attractive destination for AI hardware providers due to its cool climate, abundant renewable energy, and supportive regulatory environment. Sesterce’s investment underscores the country’s growing role in the global AI supply chain and is expected to create high‑skill jobs in the region.
Broader context
The announcement follows a series of recent foreign technology investments in the Nordics, reflecting confidence in the region’s stability, skilled workforce, and commitment to sustainable energy. By situating the data centre on a former paper‑mill site, Sesterce also demonstrates a commitment to re‑using existing industrial assets, a practice that can help mitigate the environmental footprint of large‑scale computing facilities.
While the project is still in its early planning stages, Sesterce’s phased approach allows for capacity scaling in line with market demand, reducing financial risk and ensuring that the infrastructure remains adaptable to future AI advancements.
Original reporting: Appleton, WI News Feed (HLL/CB) — read the source article.
