Delska Opens 10 MW AI and HPC Data Center in Riga

April 15, 2026
Delska has launched EU North Riga LV DC1, a 10 MW data center in Latvia designed for AI and high-performance computing workloads, powered by renewable energy and built to Tier III standards.

Delska has officially launched EU North Riga LV DC1, a 10 MW data center in Riga designed for artificial intelligence (AI) and high-performance computing (HPC), announced in a press release. The facility is one of the most advanced and sustainable in the Baltics and recently received the Latvian Construction Annual Award in the industrial building category.

The 7,100 m² modular site can expand up to 30 MW and supports up to 250 kW per rack. It is built to Tier III standards, providing 99.982% uptime. The center targets a power usage effectiveness (PUE) below 1.3 and operates entirely on renewable energy from wind, solar, and hydro sources. Backup systems use Neste MY renewable diesel.

The launch event gathered over 400 attendees, including government officials and international industry representatives from companies such as Dell Technologies, 11Stream, and Veeam. The facility aims to address capacity shortages in major European hubs and strengthen the Baltics' position as a regional digital infrastructure location.

Delska currently operates six data centers in Riga and Vilnius with a combined capacity of 19 MW and maintains points of presence in Frankfurt and Amsterdam.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more